Age induced gene changes – Homo Sapiens – Part 4

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Gene Symbol (Name) Description Change gender Age change starts Age change ends Tissues Percentage change P value References
PNPLA5 (patatin-like phospholipase domain containing 5) Using a linear mixed model, differential expression with age was identified in PNPLA5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PODXL (podocalyxin-like) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypermethylation of PODXL and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
POGLUT1 (protein O-glucosyltransferase 1) Using a linear mixed model, differential expression with age was identified in POGLUT1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
POGLUT1 (protein O-glucosyltransferase 1) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypomethylation of POGLUT1 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
POLD4 (polymerase (DNA-directed), delta 4, accessory subunit) Using a linear mixed model, differential expression with age was identified in POLD4 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
POLDIP3 (polymerase (DNA-directed), delta interacting protein 3)   Male and Female 22 73 Skeletal Muscle 5.0 <0.001 2823: Welle et al. (2002) “Computational method for reducing variance with Affymetrix microarrays.” BMC Bioinformatics 3:23 (12204100)
POLE4 (polymerase (DNA-directed), epsilon 4, accessory subunit) Using a linear mixed model, differential expression with age was identified in POLE4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
POLR1C (polymerase (RNA) I polypeptide C, 30kDa) Using a linear mixed model, differential expression with age was identified in POLR1C in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Polr2b (polymerase (RNA) II (DNA directed) polypeptide B)   Male and Female 2 26 Lung -2.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
POLR2H (polymerase (RNA) II (DNA directed) polypeptide H) Using a linear mixed model, differential expression with age was identified in POLR2H in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
POLR3GL (polymerase (RNA) III (DNA directed) polypeptide G (32kD)-like) Using a linear mixed model, differential expression with age was identified in POLR3GL in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
POMGNT1 (protein O-linked mannose N-acetylglucosaminyltransferase 1 (beta 1,2-)) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypomethylation of POMGNT1 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
POMGNT2 (protein O-linked mannose N-acetylglucosaminyltransferase 2 (beta 1,4-)) Using a linear mixed model, differential expression with age was identified in POMGNT2 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PON3 (paraoxonase 3) Using a linear mixed model, differential expression with age was identified in PON3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PON3 (paraoxonase 3)   Male and Female 27 92 Kidney -13.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
POPDC2 (popeye domain containing 2) Using a linear mixed model, differential expression with age was identified in POPDC2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Postn (periostin, osteoblast specific factor)   Male and Female 3 23 Hematological System -39.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
POU3F1 (POU class 3 homeobox 1) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypermethylation of POU3F1 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
POU4F3 (POU class 4 homeobox 3) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypermethylation of POU4F3 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
POU6F1 (POU class 6 homeobox 1)   Male and Female 26 106 Brain -4.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
PPARG (peroxisome proliferator-activated receptor gamma) Using a linear mixed model, differential expression with age was identified in PPARG in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Ppbp (pro-platelet basic protein)   Male and Female 2 26 Lung 11.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
Ppbp (pro-platelet basic protein)   Male and Female 3 23 Hematological System -27.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
Ppcdc (phosphopantothenoylcysteine decarboxylase)   Male and Female 4 15 Cochlea 6.0 <0.001 2666: Someya et al. (2007) “Caloric restriction suppresses apoptotic cell death in the mammalian cochlea and leads to prevention of presbycusis.” Neurobiol. Aging 28(10):1613-1622 (16890326)
PPCS (phosphopantothenoylcysteine synthetase) Using a linear mixed model, differential expression with age was identified in PPCS in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PPIA (peptidylprolyl isomerase A (cyclophilin A))   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
PPIA (peptidylprolyl isomerase A (cyclophilin A))   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
PPIC (peptidylprolyl isomerase C (cyclophilin C)) Using a linear mixed model, differential expression with age was identified in PPIC in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PPIC (peptidylprolyl isomerase C (cyclophilin C))   Male and Female 20 75 Skeletal Muscle -5.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
PPIF (peptidylprolyl isomerase F)   Male and Female 20 75 Skeletal Muscle -5.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
PPIG (peptidylprolyl isomerase G (cyclophilin G)) Using a linear mixed model, differential expression with age was identified in PPIG in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PPM1E (protein phosphatase 1E (PP2C domain containing))   Male and Female 26 106 Brain -17.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
PPM1H (protein phosphatase, Mg2+/Mn2+ dependent, 1H) Using a linear mixed model, differential expression with age was identified in PPM1H in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PPM1J (protein phosphatase, Mg2+/Mn2+ dependent, 1J) Using a linear mixed model, differential expression with age was identified in PPM1J in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PPP1R11 (protein phosphatase 1, regulatory (inhibitor) subunit 11) Using a linear mixed model, differential expression with age was identified in PPP1R11 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Ppp1r14a (protein phosphatase 1, regulatory (inhibitor) subunit 14A)   Male and Female 2 26 Lung -6.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
PPP1R21 (protein phosphatase 1, regulatory subunit 21) Using a linear mixed model, differential expression with age was identified in PPP1R21 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PPP1R35 (protein phosphatase 1, regulatory subunit 35) Using a linear mixed model, differential expression with age was identified in PPP1R35 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PPP1R36 (protein phosphatase 1, regulatory subunit 36) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypermethylation of PPP1R36 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
PPP2R1A (protein phosphatase 2 (formerly 2A), regulatory subunit A, alpha isoform)   Male and Female 26 106 Brain -6.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
PPP2R1B (protein phosphatase 2, regulatory subunit A, beta) Using a linear mixed model, differential expression with age was identified in PPP2R1B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PPP2R2B (protein phosphatase 2, regulatory subunit B, beta) Using a linear mixed model, differential expression with age was identified in PPP2R2B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PPP2R4 (protein phosphatase 2A activator, regulatory subunit 4) Using a linear mixed model, differential expression with age was identified in PPP2R4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PPP5C (protein phosphatase 5, catalytic subunit)   Male and Female 26 106 Brain -7.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
PPT2 (palmitoyl-protein thioesterase 2) Using a linear mixed model, differential expression with age was identified in PPT2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PPWD1 (peptidylprolyl isomerase domain and WD repeat containing 1) Using a linear mixed model, differential expression with age was identified in PPWD1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Pramef8 (PRAME family member 8)   Male and Female 2 26 Lung 2.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
PRCP (prolylcarboxypeptidase (angiotensinase C)) Using a linear mixed model, differential expression with age was identified in PRCP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PRDX6 (peroxiredoxin 6)   Male and Female 26 106 Brain 11.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
PRELP (proline/arginine-rich end leucine-rich repeat protein) Using a linear mixed model, differential expression with age was identified in PRELP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PRKAA1 (protein kinase, AMP-activated, alpha 1 catalytic subunit) Using a linear mixed model, differential expression with age was identified in PRKAA1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PRKAA2 (protein kinase, AMP-activated, alpha 2 catalytic subunit)   Male and Female 20 75 Skeletal Muscle 4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
PRKAG3 (protein kinase, AMP-activated, gamma 3 non-catalytic subunit) Comparison of DNA methylation showed a significantly decreased methylation level of PRKAG3 in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis -17.8 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
PRKAG3 (protein kinase, AMP-activated, gamma 3 non-catalytic subunit) Comparison of DNA methylation showed a significantly decreased methylation level of PRKAG3 in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis -20.1   2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
PRKAG3 (protein kinase, AMP-activated, gamma 3 non-catalytic subunit) Comparison of DNA methylation showed a significantly decreased methylation level of PRKAG3 in bone marrow mesenchymal stem cells obtained from elderly donors (aged 53-85 years old) compared to cells from younger donors (aged 21-50 years old) Male and Female 21 85 Mesenchymal Stem Cell -15.1 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
PRKAG3 (protein kinase, AMP-activated, gamma 3 non-catalytic subunit) Comparison of DNA methylation showed a significantly decreased methylation level of PRKAG3 in bone marrow mesenchymal stem cells obtained from elderly donors (aged 53-85 years old) compared to cells from younger donors (aged 21-50 years old) Male and Female 21 85 Mesenchymal Stem Cell -20.1 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
Prkar2b (protein kinase, cAMP dependent regulatory, type II beta)   Male and Female 2 26 Lung 10.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
PRKCB (protein kinase C, beta)   Male and Female 26 106 Brain -11.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
PRKCDBP (protein kinase C, delta binding protein) Using a linear mixed model, differential expression with age was identified in PRKCDBP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PRKCG (protein kinase C, gamma)   Male and Female 26 106 Brain -12.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
PRKCZ (protein kinase C, zeta)   Male and Female 26 106 Brain -12.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
PRKG2 (protein kinase, cGMP-dependent, type II) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypomethylation of PRKG2 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
Prkrir (protein-kinase, interferon-inducible double stranded RNA dependent inhibitor, repressor of (P58 repr)   Male and Female 5 25 Skeletal Muscle -5.0 <0.001 2648: NCBI GEO Dataset (2006) “Caloric restriction effect on aged skeletal muscle” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2612)|2835: Edwards et al. (2007) “Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program.” BMC Genomics 8:80 (17381838)
PRMT2 (protein arginine methyltransferase 2) Using a linear mixed model, differential expression with age was identified in PRMT2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PRNP (prion protein)   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
PROCR (protein C receptor, endothelial) Using a linear mixed model, differential expression with age was identified in PROCR in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Prodh (proline dehydrogenase)   Male and Female 2 26 Lung 5.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
PRPF3 (pre-mRNA processing factor 3) Using a linear mixed model, differential expression with age was identified in PRPF3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Prpf38a (PRP38 pre-mRNA processing factor 38 (yeast) domain containing A)   Male and Female 5 22 Brain 2.0 <0.001 2765: Godbout et al. (2005) “Exaggerated neuroinflammation and sickness behavior in aged mice following activation of the peripheral innate immune system.” FASEB J. 19(10):1329-1331 (15919760)|2833: NCBI GEO Dataset (2005) “Age effect on lipopolysaccharide-induced neuroinflammation and sickness behavior” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS1311)
PRPF40A (PRP40 pre-mRNA processing factor 40 homolog A (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in PRPF40A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Prpf6 (PRP6 pre-mRNA splicing factor 6 homolog (yeast))   Male and Female 5 30 Anatomical System -1.0 <0.001 2926: Lee et al. (2000) “Gene-expression profile of the ageing brain in mice.” Nat. Genet. 25(3):294-297 (10888876)
PRPF8 (PRP8 pre-mRNA processing factor 8 homolog (S. cerevisiae))   Male and Female 20 75 Skeletal Muscle 2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
PRR14 (proline rich 14) Using a linear mixed model, differential expression with age was identified in PRR14 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PRR34 (proline rich 34) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypomethylation of PRR34 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
PRR4 (proline rich 4 (lacrimal)) Using a linear mixed model, differential expression with age was identified in PRR4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PRR5L (proline rich 5 like) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of PRR5L and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
PRRG1 (proline rich Gla (G-carboxyglutamic acid) 1) Using a linear mixed model, differential expression with age was identified in PRRG1 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PRRX1 (paired related homeobox 1) Using a linear mixed model, differential expression with age was identified in PRRX1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PRUNE2 (prune homolog 2 (Drosophila)) Using a linear mixed model, differential expression with age was identified in PRUNE2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Psmb10 (proteasome (prosome, macropain) subunit, beta type 10)   Male and Female 6 22 Liver 6.0 <0.001 1334: Papaconstantinou et al. (2005) “Hepatic gene and protein expression of primary components of the IGF-I axis in long lived Snell dwarf mice.” Mech. Ageing Dev. 126(6-7):692-704 (15888324)|2981: NCBI GEO Dataset (2005) “Age effect on livers of long-lived Snell dwarf mutants” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2019)
PSMB2 (proteasome (prosome, macropain) subunit, beta type, 2) Using a linear mixed model, differential expression with age was identified in PSMB2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PSMB5 (proteasome (prosome, macropain) subunit, beta type, 5) Using a linear mixed model, differential expression with age was identified in PSMB5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PSMB6 (proteasome (prosome, macropain) subunit, beta type, 6) Using a linear mixed model, differential expression with age was identified in PSMB6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PSMC5 (proteasome (prosome, macropain) 26S subunit, ATPase, 5) Using a linear mixed model, differential expression with age was identified in PSMC5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PSMD8 (proteasome (prosome, macropain) 26S subunit, non-ATPase, 8)   Male and Female 26 106 Brain -8.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
Psme1 (proteasome (prosome, macropain) 28 subunit, alpha)   Male and Female 8 24 Muscle -4.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
PSME1 (proteasome (prosome, macropain) activator subunit 1 (PA28 alpha)) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypomethylation of PSME1 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
PSME3 (proteasome (prosome, macropain) activator subunit 3 (PA28 gamma; Ki)) Using a linear mixed model, differential expression with age was identified in PSME3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PSPC1 (paraspeckle component 1)   Male and Female 20 75 Skeletal Muscle 2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
PSTPIP2 (proline-serine-threonine phosphatase interacting protein 2) Using a linear mixed model, differential expression with age was identified in PSTPIP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PTCHD1 (patched domain containing 1) Using a linear mixed model, differential expression with age was identified in PTCHD1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PTDSS1 (phosphatidylserine synthase 1) Using a linear mixed model, differential expression with age was identified in PTDSS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PTGDS (prostaglandin D2 synthase 21kDa (brain)) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypomethylation of PTGDS and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
PTGER3 (prostaglandin E receptor 3 (subtype EP3))   Male and Female 0 102 Pons 0.0 <0.001 2842: Hernandez et al. (2011) “Distinct DNA methylation changes highly correlated with chronological age in the human brain.” Hum. Mol. Genet. 20(6):1164-1172 (21216877)
PTGER3 (prostaglandin E receptor 3 (subtype EP3))   Male and Female 0 102 Cerebellum 0.0 <0.001 2842: Hernandez et al. (2011) “Distinct DNA methylation changes highly correlated with chronological age in the human brain.” Hum. Mol. Genet. 20(6):1164-1172 (21216877)
PTGER3 (prostaglandin E receptor 3 (subtype EP3))   Male and Female 0 102 Temporal Lobe 0.0 <0.001 2842: Hernandez et al. (2011) “Distinct DNA methylation changes highly correlated with chronological age in the human brain.” Hum. Mol. Genet. 20(6):1164-1172 (21216877)
PTGER3 (prostaglandin E receptor 3 (subtype EP3))   Male and Female 0 102 Frontal Lobe 0.0 <0.001 2842: Hernandez et al. (2011) “Distinct DNA methylation changes highly correlated with chronological age in the human brain.” Hum. Mol. Genet. 20(6):1164-1172 (21216877)
PTHLH (parathyroid hormone-like hormone) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypermethylation of PTHLH and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
Ptk2b (PTK2 protein tyrosine kinase 2 beta)   Male and Female 2 26 Lung 9.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
PTMS (parathymosin) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of PTMS and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
PTPN3 (protein tyrosine phosphatase, non-receptor type 3) Using a linear mixed model, differential expression with age was identified in PTPN3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PTPN3 (protein tyrosine phosphatase, non-receptor type 3)   Male and Female 20 75 Skeletal Muscle -4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
PTPRE (protein tyrosine phosphatase, receptor type, E) Using a linear mixed model, differential expression with age was identified in PTPRE in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PTPRE (protein tyrosine phosphatase, receptor type, E)   Male and Female 26 106 Brain -39.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
PTPRJ (protein tyrosine phosphatase, receptor type, J)   Male and Female 20 75 Skeletal Muscle 11.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
Ptpro (protein tyrosine phosphatase, receptor type, O)   Male and Female 2 15 Hippocampus -5.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
Ptprr (protein tyrosine phosphatase, receptor type, R)   Male and Female 8 24 Muscle -5.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
PTPRT (protein tyrosine phosphatase, receptor type, T) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of PTPRT and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
PTPRZ1 (protein tyrosine phosphatase, receptor-type, Z polypeptide 1) Using a linear mixed model, differential expression with age was identified in PTPRZ1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PTS (6-pyruvoyltetrahydropterin synthase)   Male and Female 20 75 Skeletal Muscle -3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
PUSL1 (pseudouridylate synthase-like 1) Using a linear mixed model, differential expression with age was identified in PUSL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PVRL2 (poliovirus receptor-related 2 (herpesvirus entry mediator B)) Using a linear mixed model, differential expression with age was identified in PVRL2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PVRL3 (poliovirus receptor-related 3)   Male and Female 26 106 Brain -20.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
PXDNL (peroxidasin homolog (Drosophila)-like)   Male and Female 20 75 Skeletal Muscle 20.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
PXMP4 (peroxisomal membrane protein 4, 24kDa) Using a linear mixed model, differential expression with age was identified in PXMP4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PYCR2 (pyrroline-5-carboxylate reductase family, member 2) Using a linear mixed model, differential expression with age was identified in PYCR2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
QKI (quaking homolog, KH domain RNA binding (mouse))   Male and Female 26 106 Brain 8.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
QPRT (quinolinate phosphoribosyltransferase) Using a linear mixed model, differential expression with age was identified in QPRT in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Qrsl1 (glutaminyl-tRNA synthase (glutamine-hydrolyzing)-like 1)   Male and Female 2 15 Hippocampus -3.0   2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
QTRT1 (queuine tRNA-ribosyltransferase 1) Using a linear mixed model, differential expression with age was identified in QTRT1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RAB10 (RAB10, member RAS oncogene family)   Male and Female 20 75 Skeletal Muscle 2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
RAB11A (RAB11A, member RAS oncogene family)   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
RAB11FIP5 (RAB11 family interacting protein 5 (class I)) Using a linear mixed model, differential expression with age was identified in RAB11FIP5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RAB26 (RAB26, member RAS oncogene family) Using a linear mixed model, differential expression with age was identified in RAB26 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RAB2A (RAB2A, member RAS oncogene family)   Male and Female 26 106 Brain -11.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RAB2B (RAB2B, member RAS oncogene family) Using a linear mixed model, differential expression with age was identified in RAB2B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RAB31 (RAB31, member RAS oncogene family) Using a linear mixed model, differential expression with age was identified in RAB31 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RAB32 (RAB32, member RAS oncogene family) Using a linear mixed model, differential expression with age was identified in RAB32 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RAB36 (RAB36, member RAS oncogene family) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypermethylation of RAB36 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
RAB38 (RAB38, member RAS oncogene family) Using a linear mixed model, differential expression with age was identified in RAB38 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RAB3A (RAB3A, member RAS oncogene family)   Male and Female 26 106 Brain -11.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RAB3IL1 (RAB3A interacting protein (rabin3)-like 1) Using a linear mixed model, differential expression with age was identified in RAB3IL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Rab40b (Rab40b, member RAS oncogene family)   Male and Female 3 23 Hematological System 18.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
Rab40b (Rab40b, member RAS oncogene family)   Male and Female 8 24 Muscle 4.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
RABAC1 (Rab acceptor 1 (prenylated)) Using a linear mixed model, differential expression with age was identified in RABAC1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Rabl5 (RAB, member of RAS oncogene family-like 5)   Male and Female 2 26 Lung 3.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
RAC2 (ras-related C3 botulinum toxin substrate 2 (rho family, small GTP binding protein Rac2)) Using a linear mixed model, differential expression with age was identified in RAC2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Rad23b (RAD23b homolog (S. cerevisiae))   Male and Female 5 30 Anatomical System -1.0 <0.001 2926: Lee et al. (2000) “Gene-expression profile of the ageing brain in mice.” Nat. Genet. 25(3):294-297 (10888876)
Rad51ap1 (RAD51 associated protein 1)   Male and Female 2 26 Lung -11.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
RAD54B (RAD54 homolog B (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in RAD54B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RAI1 (retinoic acid induced 1) Using a linear mixed model, differential expression with age was identified in RAI1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RALB (v-ral simian leukemia viral oncogene homolog B (ras related; GTP binding protein))   Male and Female 26 106 Brain -7.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RALGAPA1 (Ral GTPase activating protein, alpha subunit 1 (catalytic))   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
Ralgapa2 (Ral GTPase activating protein, alpha subunit 2 (catalytic))   Male and Female 2 26 Lung 7.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
RALGDS (ral guanine nucleotide dissociation stimulator) Using a linear mixed model, differential expression with age was identified in RALGDS in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RALY (RALY heterogeneous nuclear ribonucleoprotein) Using a linear mixed model, differential expression with age was identified in RALY in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RAMP1 (receptor (G protein-coupled) activity modifying protein 1)   Male and Female 26 106 Brain 16.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RAN (RAN, member RAS oncogene family) Gene expression showed a significant (p<E-3) decrease in the expression of RAN in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -40.12 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
RANBP10 (RAN binding protein 10) Using a linear mixed model, differential expression with age was identified in RANBP10 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RANBP3 (RAN binding protein 3) Using a linear mixed model, differential expression with age was identified in RANBP3 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RAP2A (RAP2A, member of RAS oncogene family)   Male and Female 26 106 Brain -28.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RAPGEF1 (Rap guanine nucleotide exchange factor (GEF) 1) Using a linear mixed model, differential expression with age was identified in RAPGEF1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RARRES1 (retinoic acid receptor responder (tazarotene induced) 1) Using a linear mixed model, differential expression with age was identified in RARRES1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RARRES2 (retinoic acid receptor responder (tazarotene induced) 2)   Male and Female 26 106 Brain 9.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RARS2 (arginyl-tRNA synthetase 2, mitochondrial) Gene expression showed a significant (p<E-3) decrease in the expression of RARS2 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -48.72 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
RASA1 (RAS p21 protein activator (GTPase activating protein) 1) Using a linear mixed model, differential expression with age was identified in RASA1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Rasd2 (RASD family, member 2)   Male and Female 8 24 Muscle 7.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
RASEF (RAS and EF-hand domain containing) Using a linear mixed model, differential expression with age was identified in RASEF in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RASGRF1 (Ras protein-specific guanine nucleotide-releasing factor 1)   Male and Female 26 106 Brain -22.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RASSF2 (Ras association (RalGDS/AF-6) domain family member 2) Using a linear mixed model, differential expression with age was identified in RASSF2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RASSF2 (Ras association (RalGDS/AF-6) domain family member 2)   Male and Female 26 106 Brain 18.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RASSF6 (Ras association (RalGDS/AF-6) domain family member 6) Using a linear mixed model, differential expression with age was identified in RASSF6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RBBP5 (retinoblastoma binding protein 5)   Male and Female 26 106 Brain -9.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RBBP8 (retinoblastoma binding protein 8) Using a linear mixed model, differential expression with age was identified in RBBP8 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RBM18 (RNA binding motif protein 18) Using a linear mixed model, differential expression with age was identified in RBM18 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RBM20 (RNA binding motif protein 20) Using a linear mixed model, differential expression with age was identified in RBM20 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RBM25 (RNA binding motif protein 25) Using a linear mixed model, differential expression with age was identified in RBM25 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Rbm3 (RNA binding motif protein 3)   Male and Female 2 26 Lung -9.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
Rbm3 (RNA binding motif protein 3)   Male and Female 2 15 Hippocampus 3.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
RBM33 (RNA binding motif protein 33) Using a linear mixed model, differential expression with age was identified in RBM33 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RBM38 (RNA binding motif protein 38)   Male and Female 26 106 Brain 12.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RBM39 (RNA binding motif protein 39)   Male and Female 20 75 Skeletal Muscle 2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
RBM41 (RNA binding motif protein 41) Using a linear mixed model, differential expression with age was identified in RBM41 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RBM5 (RNA binding motif protein 5) Using a linear mixed model, differential expression with age was identified in RBM5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RBM6 (RNA binding motif protein 6) Using a linear mixed model, differential expression with age was identified in RBM6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RBP1 (retinol binding protein 1, cellular) Using a linear mixed model, differential expression with age was identified in RBP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Rbp1 (retinol binding protein 1, cellular)   Male and Female 6 22 Liver 33.0 <0.001 1334: Papaconstantinou et al. (2005) “Hepatic gene and protein expression of primary components of the IGF-I axis in long lived Snell dwarf mice.” Mech. Ageing Dev. 126(6-7):692-704 (15888324)|2981: NCBI GEO Dataset (2005) “Age effect on livers of long-lived Snell dwarf mutants” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2019)
RBP4 (retinol binding protein 4, plasma)   Male and Female 26 106 Brain -13.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
Rcbtb2 (regulator of chromosome condensation (RCC1) and BTB (POZ) domain containing protein 2)   Male and Female 8 24 Muscle -3.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
RCCD1 (RCC1 domain containing 1) Using a linear mixed model, differential expression with age was identified in RCCD1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RCN3 (reticulocalbin 3, EF-hand calcium binding domain) Using a linear mixed model, differential expression with age was identified in RCN3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RCOR3 (REST corepressor 3) Using a linear mixed model, differential expression with age was identified in RCOR3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RDH11 (retinol dehydrogenase 11 (all-trans/9-cis/11-cis)) Using a linear mixed model, differential expression with age was identified in RDH11 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RDH5 (retinol dehydrogenase 5 (11-cis/9-cis)) Using a linear mixed model, differential expression with age was identified in RDH5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RDX (radixin)   Male and Female 26 106 Brain 13.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
REEP6 (receptor accessory protein 6) Using a linear mixed model, differential expression with age was identified in REEP6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Reep6 (receptor accessory protein 6)   Male and Female 6 22 Liver -5.0 <0.001 1334: Papaconstantinou et al. (2005) “Hepatic gene and protein expression of primary components of the IGF-I axis in long lived Snell dwarf mice.” Mech. Ageing Dev. 126(6-7):692-704 (15888324)|2981: NCBI GEO Dataset (2005) “Age effect on livers of long-lived Snell dwarf mutants” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2019)
RELA (v-rel reticuloendotheliosis viral oncogene homolog A (avian)) Gene expression showed a significant (p<E-3) increase in the expression of RELA in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary 60.0 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
Rell1 (RELT-like 1)   Male and Female 8 24 Muscle 4.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
RELN (reelin) RELN promoter methylation increase in neocortal of individuals past their puberty (20-30 years) compared with those that had yet to enter the period of maturation (4-8 years). Prepupertal individuals display little or no methylation at RELN promoter. Mean overall methylation exhibits a striking 25-fold increase after puberty. Postpubertal growth in methylation is the result of a mean 18-fold increase in the number of methylated CpG positions (i.e. extend of methylation) and a four-fold rise in mean percentage of methylation at each methylated CpG position. Male and Female 4 30 Brain, Cerebral Cortex     2962: Lintas and Persico (2010) “Neocortical RELN promoter methylation increases significantly after puberty.” Neuroreport 21(2):114-118 (19952965)
Rem1 (rad and gem related GTP binding protein 1)   Male and Female 8 24 Muscle -17.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
REPS2 (RALBP1 associated Eps domain containing 2) Using a linear mixed model, differential expression with age was identified in REPS2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RET (ret proto-oncogene) Using a linear mixed model, differential expression with age was identified in RET in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
REXO2 (RNA exonuclease 2) Using a linear mixed model, differential expression with age was identified in REXO2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RFC4 (replication factor C (activator 1) 4, 37kDa) Using a linear mixed model, differential expression with age was identified in RFC4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Rfc5 (replication factor C (activator 1) 5)   Male and Female 5 25 Skeletal Muscle -13.0 <0.001 2648: NCBI GEO Dataset (2006) “Caloric restriction effect on aged skeletal muscle” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2612)|2835: Edwards et al. (2007) “Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program.” BMC Genomics 8:80 (17381838)
RFC5 (replication factor C (activator 1) 5, 36.5kDa)   Male and Female 26 106 Brain -7.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
Rftn2 (raftlin family member 2)   Male and Female 2 26 Lung -6.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
RGMA (repulsive guidance molecule family member a) Using a linear mixed model, differential expression with age was identified in RGMA in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RGN (regucalcin (senescence marker protein-30))   Male and Female 26 106 Brain 15.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RGPD5 (RANBP2-like and GRIP domain containing 5) Comparison of DNA methylation showed a significantly decreased methylation level of RGPD5 in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis -20.4 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
RGS12 (regulator of G-protein signaling 12) Using a linear mixed model, differential expression with age was identified in RGS12 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Rgs18 (regulator of G-protein signaling 18)   Male and Female 2 26 Lung 18.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
RGS20 (regulator of G-protein signaling 20)   Male and Female 26 106 Brain 25.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RGS4 (regulator of G-protein signaling 4)   Male and Female 26 106 Brain -16.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RGS9BP (regulator of G protein signaling 9 binding protein) Using a linear mixed model, differential expression with age was identified in RGS9BP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RHBDD1 (rhomboid domain containing 1)   Male and Female 0 102 Frontal Lobe 0.0 <0.001 2842: Hernandez et al. (2011) “Distinct DNA methylation changes highly correlated with chronological age in the human brain.” Hum. Mol. Genet. 20(6):1164-1172 (21216877)
RHBDD1 (rhomboid domain containing 1)   Male and Female 0 102 Temporal Lobe 0.0 <0.001 2842: Hernandez et al. (2011) “Distinct DNA methylation changes highly correlated with chronological age in the human brain.” Hum. Mol. Genet. 20(6):1164-1172 (21216877)
RHBDD1 (rhomboid domain containing 1)   Male and Female 0 102 Pons 0.0 <0.001 2842: Hernandez et al. (2011) “Distinct DNA methylation changes highly correlated with chronological age in the human brain.” Hum. Mol. Genet. 20(6):1164-1172 (21216877)
RHBDD1 (rhomboid domain containing 1)   Male and Female 0 102 Cerebellum 0.0 <0.001 2842: Hernandez et al. (2011) “Distinct DNA methylation changes highly correlated with chronological age in the human brain.” Hum. Mol. Genet. 20(6):1164-1172 (21216877)
RHBG (Rh family, B glycoprotein (gene/pseudogene)) Using a linear mixed model, differential expression with age was identified in RHBG in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RHCG (Rh family, C glycoprotein)   Male and Female 27 92 Kidney -16.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
Rhob (ras homolog gene family, member B)   Male and Female 2 15 Hippocampus 2.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
RHOBTB3 (Rho-related BTB domain containing 3)   Male and Female 26 106 Brain 25.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RHOG (ras homolog family member G) Using a linear mixed model, differential expression with age was identified in RHOG in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RICTOR (RPTOR independent companion of MTOR, complex 2) Gene expression showed a significant (p<E-3) decrease in the expression of RICTOR in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -35.06 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
RIMBP2 (RIMS binding protein 2) Using a linear mixed model, differential expression with age was identified in RIMBP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RIMS4 (regulating synaptic membrane exocytosis 4) Using a linear mixed model, differential expression with age was identified in RIMS4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Rin2 (Ras and Rab interactor 2)   Male and Female 2 15 Hippocampus 7.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
RMDN3 (regulator of microtubule dynamics 3) Using a linear mixed model, differential expression with age was identified in RMDN3 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RMI2 (RecQ mediated genome instability 2) Using a linear mixed model, differential expression with age was identified in RMI2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RMND5B (required for meiotic nuclear division 5 homolog B (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in RMND5B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RNASE1 (ribonuclease, RNase A family, 1 (pancreatic)) Using a linear mixed model, differential expression with age was identified in RNASE1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RNASE6 (ribonuclease, RNase A family, k6) Using a linear mixed model, differential expression with age was identified in RNASE6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RNASEK (ribonuclease, RNase K) Using a linear mixed model, differential expression with age was identified in RNASEK in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RND1 (Rho family GTPase 1)   Male and Female 26 106 Brain -10.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RNF103 (ring finger protein 103)   Male and Female 20 75 Skeletal Muscle 4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
RNF144B (ring finger protein 144B) Using a linear mixed model, differential expression with age was identified in RNF144B in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RNF144B (ring finger protein 144B) Gene expression showed a significant (p<E-3) decrease in the expression of RNF144B in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -70.24 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
Rnf187 (ring finger protein 187)   Male and Female 8 24 Muscle 3.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
RNF19B (ring finger protein 19B)   Male and Female 26 106 Brain -11.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
Rnf6 (ring finger protein (C3H2C3 type) 6)   Male and Female 8 24 Muscle 2.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
RNLS (renalase, FAD-dependent amine oxidase) Using a linear mixed model, differential expression with age was identified in RNLS in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RORA (RAR-related orphan receptor A) Using a linear mixed model, differential expression with age was identified in RORA in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ROS1 (ROS proto-oncogene 1 , receptor tyrosine kinase) Using a linear mixed model, differential expression with age was identified in ROS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RPL29 (ribosomal protein L29) Using a linear mixed model, differential expression with age was identified in RPL29 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RPL3 (ribosomal protein L3)   Male and Female 20 75 Skeletal Muscle 2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
RPL37 (ribosomal protein L37) Using a linear mixed model, differential expression with age was identified in RPL37 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Rpl37 (ribosomal protein L37)   Male and Female 6 22 Liver 4.0 <0.001 1334: Papaconstantinou et al. (2005) “Hepatic gene and protein expression of primary components of the IGF-I axis in long lived Snell dwarf mice.” Mech. Ageing Dev. 126(6-7):692-704 (15888324)|2981: NCBI GEO Dataset (2005) “Age effect on livers of long-lived Snell dwarf mutants” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2019)
Rpl3l (ribosomal protein L3-like)   Male and Female 8 24 Muscle -4.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
RPN1 (ribophorin I) Using a linear mixed model, differential expression with age was identified in RPN1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RPP25 (ribonuclease P/MRP 25kDa subunit) Using a linear mixed model, differential expression with age was identified in RPP25 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Rprd1b (regulation of nuclear pre-mRNA domain containing 1B)   Male and Female 6 22 Liver 10.0 <0.001 1334: Papaconstantinou et al. (2005) “Hepatic gene and protein expression of primary components of the IGF-I axis in long lived Snell dwarf mice.” Mech. Ageing Dev. 126(6-7):692-704 (15888324)|2981: NCBI GEO Dataset (2005) “Age effect on livers of long-lived Snell dwarf mutants” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2019)
RPS27L (ribosomal protein S27-like)   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
RPS29 (ribosomal protein S29) Using a linear mixed model, differential expression with age was identified in RPS29 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RPS6KA2 (ribosomal protein S6 kinase, 90kDa, polypeptide 2) Using a linear mixed model, differential expression with age was identified in RPS6KA2 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RRAGD (Ras-related GTP binding D)   Male and Female 27 92 Kidney -14.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
Rrbp1 (ribosome binding protein 1)   Male and Female 6 22 Liver 6.0 <0.001 1334: Papaconstantinou et al. (2005) “Hepatic gene and protein expression of primary components of the IGF-I axis in long lived Snell dwarf mice.” Mech. Ageing Dev. 126(6-7):692-704 (15888324)|2981: NCBI GEO Dataset (2005) “Age effect on livers of long-lived Snell dwarf mutants” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2019)
Rrm2 (ribonucleotide reductase M2)   Male and Female 2 15 Hippocampus -14.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
Rrp1 (ribosomal RNA processing 1 homolog (S. cerevisiae))   Male and Female 5 25 Skeletal Muscle 5.0 <0.001 2648: NCBI GEO Dataset (2006) “Caloric restriction effect on aged skeletal muscle” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2612)|2835: Edwards et al. (2007) “Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program.” BMC Genomics 8:80 (17381838)
RSPO1 (R-spondin 1) Using a linear mixed model, differential expression with age was identified in RSPO1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RSRP1 (arginine/serine-rich protein 1) Using a linear mixed model, differential expression with age was identified in C1orf63 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RTCD1 (RNA terminal phosphate cyclase domain 1)   Male and Female 20 75 Skeletal Muscle -3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
RTDR1 (rhabdoid tumor deletion region gene 1) Using a linear mixed model, differential expression with age was identified in RTDR1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RTN1 (reticulon 1)   Male and Female 26 106 Brain -8.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RTN4 (reticulon 4) Using a linear mixed model, differential expression with age was identified in RTN4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RTN4 (reticulon 4)   Male and Female 26 106 Brain -8.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
RUFY3 (RUN and FYVE domain containing 3) Using a linear mixed model, differential expression with age was identified in RUFY3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RUNDC3A (RUN domain containing 3A)   Male and Female 26 106 Brain -5.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
Runx1t1 (runt-related transcription factor 1; translocated to, 1 (cyclin D-related))   Male and Female 3 23 Hematological System 17.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
RWDD2A (RWD domain containing 2A) Using a linear mixed model, differential expression with age was identified in RWDD2A in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RXRA (retinoid X receptor, alpha) Using a linear mixed model, differential expression with age was identified in RXRA in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RXRG (retinoid X receptor, gamma)   Male and Female 20 75 Skeletal Muscle -6.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
Rybp (RING1 and YY1 binding protein)   Male and Female 2 26 Lung -3.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
RYK (receptor-like tyrosine kinase) Using a linear mixed model, differential expression with age was identified in RYK in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
RYR1 (ryanodine receptor 1 (skeletal)) Using a linear mixed model, differential expression with age was identified in RYR1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Ryr1 (ryanodine receptor 1, skeletal muscle)   Male and Female 5 30 Anatomical System -9.0 <0.001 2926: Lee et al. (2000) “Gene-expression profile of the ageing brain in mice.” Nat. Genet. 25(3):294-297 (10888876)
RYR2 (ryanodine receptor 2 (cardiac)) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypermethylation of RYR2 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
RYR3 (ryanodine receptor 3) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of RYR3 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
S100A3 (S100 calcium binding protein A3) Using a linear mixed model, differential expression with age was identified in S100A3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
S100A4 (S100 calcium binding protein A4) Using a linear mixed model, differential expression with age was identified in S100A4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
S100a6 (S100 calcium binding protein A6 (calcyclin))   Male and Female 2 15 Hippocampus 4.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
S100a8 (S100 calcium binding protein A8 (calgranulin A))   Male and Female 3 23 Hematological System -40.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
S100A8 (S100 calcium binding protein A8) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe S100A8 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe 1228.24 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
S100A8 (S100 calcium binding protein A8) Gene expression showed a significant (p<0.01) increase in the expression of temporal lobe S100A8 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Temporal Lobe 530.64 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
S100A8 (S100 calcium binding protein A8) Gene expression showed a significant (p<0.01) increase in the expression of hippocampus S100A8 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Hippocampus 1115.4 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
S100A8 (S100 calcium binding protein A8) Gene expression showed a significant (p<0.01) increase in the expression of frontal lobe S100A8 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Frontal Lobe 921.38 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
S100a9 (S100 calcium binding protein A9 (calgranulin B))   Male and Female 2 15 Hippocampus 33.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
S100A9 (S100 calcium binding protein A9) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe S100A9 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe 228.96 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
S100A9 (S100 calcium binding protein A9) Gene expression showed a significant (p<0.01) increase in the expression of frontal lobe S100A9 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Frontal Lobe 92.75 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
S100B (S100 calcium binding protein B)   Male and Female 26 106 Brain 11.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
S100b (S100 protein, beta polypeptide, neural)   Male and Female 2 15 Hippocampus 4.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
S100PBP (S100P binding protein) Using a linear mixed model, differential expression with age was identified in S100PBP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
S1PR1 (sphingosine-1-phosphate receptor 1)   Male and Female 26 106 Brain 27.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
S1PR5 (sphingosine-1-phosphate receptor 5) Using a linear mixed model, differential expression with age was identified in S1PR5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Saa1 (serum amyloid A 1)   Male and Female 3 23 Hematological System 118.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
SAFB2 (scaffold attachment factor B2) Using a linear mixed model, differential expression with age was identified in SAFB2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SAMD10 (sterile alpha motif domain containing 10) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypomethylation of SAMD10 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
SAMD9L (sterile alpha motif domain containing 9-like)   Male and Female 20 75 Skeletal Muscle 4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SAMM50 (sorting and assembly machinery component 50 homolog (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in SAMM50 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SAMM50 (sorting and assembly machinery component 50 homolog (S. cerevisiae))   Male and Female 20 75 Skeletal Muscle -3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
Sap30l (SAP30-like)   Male and Female 5 25 Skeletal Muscle -4.0 <0.001 2648: NCBI GEO Dataset (2006) “Caloric restriction effect on aged skeletal muscle” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2612)|2835: Edwards et al. (2007) “Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program.” BMC Genomics 8:80 (17381838)
SAPCD1 (suppressor APC domain containing 1) Using a linear mixed model, differential expression with age was identified in SAPCD1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SAR1B (secretion associated, Ras related GTPase 1B) Using a linear mixed model, differential expression with age was identified in SAR1B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SARS (seryl-tRNA synthetase)   Male and Female 26 106 Brain -10.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SATL1 (spermidine/spermine N1-acetyl transferase-like 1)   Male and Female 20 75 Skeletal Muscle -3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SBNO1 (strawberry notch homolog 1 (Drosophila)) Using a linear mixed model, differential expression with age was identified in SBNO1 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SC5D (sterol-C5-desaturase) Using a linear mixed model, differential expression with age was identified in SC5D in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Scamp2 (secretory carrier membrane protein 2)   Male and Female 5 25 Skeletal Muscle 4.0 <0.001 2648: NCBI GEO Dataset (2006) “Caloric restriction effect on aged skeletal muscle” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2612)|2835: Edwards et al. (2007) “Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program.” BMC Genomics 8:80 (17381838)
SCAP (SREBF chaperone) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypomethylation of SCAP and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
SCARB1 (scavenger receptor class B, member 1) Using a linear mixed model, differential expression with age was identified in SCARB1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SCCPDH (saccharopine dehydrogenase (putative)) Gene expression showed a significant (p<E-3) decrease in the expression of SCCPDH in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -46.52 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
SCGB3A1 (secretoglobin, family 3A, member 1) Using a linear mixed model, differential expression with age was identified in SCGB3A1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SCGN (secretagogin, EF-hand calcium binding protein) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypermethylation of SCGN and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
SCLY (selenocysteine lyase)   Male and Female 20 75 Skeletal Muscle -6.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SCMH1 (sex comb on midleg homolog 1 (Drosophila)) Using a linear mixed model, differential expression with age was identified in SCMH1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SCN2B (sodium channel, voltage-gated, type II, beta)   Male and Female 26 106 Brain -50.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SCN7A (sodium channel, voltage-gated, type VII, alpha subunit) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypomethylation of SCN7A and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
SCNN1G (sodium channel, non-voltage-gated 1, gamma subunit) Using a linear mixed model, differential expression with age was identified in SCNN1G in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SCO2 (SCO2 cytochrome c oxidase assembly protein) Using a linear mixed model, differential expression with age was identified in SCO2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Scyl1 (SCY1-like 1 (S. cerevisiae))   Male and Female 2 26 Lung -3.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
SDC2 (syndecan 2)   Male and Female 26 106 Brain 25.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SDCCAG3 (serologically defined colon cancer antigen 3) Using a linear mixed model, differential expression with age was identified in SDCCAG3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SDF2 (stromal cell-derived factor 2) Using a linear mixed model, differential expression with age was identified in SDF2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SDF2L1 (stromal cell-derived factor 2-like 1) Using a linear mixed model, differential expression with age was identified in SDF2L1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SDHC (succinate dehydrogenase complex, subunit C, integral membrane protein, 15kDa)   Male and Female 20 75 Skeletal Muscle -4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SDS (serine dehydratase) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypomethylation of SDS and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
SDSL (serine dehydratase-like) Using a linear mixed model, differential expression with age was identified in SDSL in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SEC14L1 (SEC14-like 1 (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in SEC14L1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SEC14L4 (SEC14-like 4 (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in SEC14L4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SEC22B (SEC22 vesicle trafficking protein homolog B (S. cerevisiae) (gene/pseudogene)) Using a linear mixed model, differential expression with age was identified in SEC22B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Sec61a1 (Sec61 alpha 1 subunit (S. cerevisiae))   Male and Female 2 15 Hippocampus -1.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
SECISBP2 (SECIS binding protein 2) Using a linear mixed model, differential expression with age was identified in SECISBP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Seh1l (SEH1-like (S. cerevisiae)   Male and Female 2 15 Hippocampus 2.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
SEL1L2 (sel-1 suppressor of lin-12-like 2 (C. elegans)) Using a linear mixed model, differential expression with age was identified in SEL1L2 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SELENBP1 (selenium binding protein 1)   Male and Female 26 106 Brain 7.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SELENBP1 (selenium binding protein 1)   Male and Female 22 73 Skeletal Muscle 7.0 <0.001 2823: Welle et al. (2002) “Computational method for reducing variance with Affymetrix microarrays.” BMC Bioinformatics 3:23 (12204100)
SELENBP1 (selenium binding protein 1) Comparison of DNA methylation showed a significantly decreased methylation level of SELENBP1 in bone marrow mesenchymal stem cells obtained from elderly donors (aged 53-85 years old) compared to cells from younger donors (aged 21-50 years old) Male and Female 21 85 Mesenchymal Stem Cell -20.8 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
SELENBP1 (selenium binding protein 1) Comparison of DNA methylation showed a significantly decreased methylation level of SELENBP1 in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis -15.7 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
SELL (selectin L) Using a linear mixed model, differential expression with age was identified in SELL in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SEMA3B (sema domain, immunoglobulin domain (Ig), short basic domain, secreted, (semaphorin) 3B) Comparison of DNA methylation showed a significantly increased methylation level of SEMA3B in bone marrow mesenchymal stem cells obtained from elderly donors (aged 53-85 years old) compared to cells from younger donors (aged 21-50 years old) Male and Female 21 85 Mesenchymal Stem Cell 19.1 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
SEMA3B (sema domain, immunoglobulin domain (Ig), short basic domain, secreted, (semaphorin) 3B) Comparison of DNA methylation showed a significantly increased methylation level of SEMA3B in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis 16.1 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
SEMA3F (sema domain, immunoglobulin domain (Ig), short basic domain, secreted, (semaphorin) 3F) Using a linear mixed model, differential expression with age was identified in SEMA3F in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SEMA4B (sema domain, immunoglobulin domain (Ig), transmembrane domain (TM) and short cytoplasmic domain, (semaphorin) 4B) Using a linear mixed model, differential expression with age was identified in SEMA4B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SEMA4B (sema domain, immunoglobulin domain (Ig), transmembrane domain (TM) and short cytoplasmic domain, (semaphorin) 4B) Gene expression showed a significant (p<E-3) increase in the expression of SEMA4B in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary 58.0 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
SEMA5B (sema domain, seven thrombospondin repeats (type 1 and type 1-like), transmembrane domain (TM) and short cytoplasmic domain, (semaphorin) 5B) Using a linear mixed model, differential expression with age was identified in SEMA5B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SEMA6A (sema domain, transmembrane domain (TM), and cytoplasmic domain, (semaphorin) 6A)   Male and Female 26 106 Brain 8.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SENP3 (SUMO1/sentrin/SMT3 specific peptidase 3)   Male and Female 26 106 Brain -3.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
Senp6 (SUMO/sentrin specific peptidase 6)   Male and Female 2 26 Lung -2.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
SEPHS1 (selenophosphate synthetase 1)   Male and Female 26 106 Brain 12.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SEPP1 (selenoprotein P, plasma, 1)   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SEPT3 (septin 3) Using a linear mixed model, differential expression with age was identified in SEPT3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Sept5 (septin 5)   Male and Female 3 23 Hematological System 36.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
Sepx1 (selenoprotein X 1)   Male and Female 8 24 Muscle -3.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
SERF2 (small EDRK-rich factor 2)   Male and Female 20 75 Skeletal Muscle -4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SERPINA1 (serpin peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 1) Using a linear mixed model, differential expression with age was identified in SERPINA1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SERPINA12 (serpin peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 12) Comparison of DNA methylation showed a significantly decreased methylation level of SERPINA12 in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis -15.2 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
SERPINA12 (serpin peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 12) Comparison of DNA methylation showed a significantly increased methylation level of SERPINA12 in bone marrow mesenchymal stem cells obtained from elderly donors (aged 53-85 years old) compared to cells from younger donors (aged 21-50 years old) Male and Female 21 85 Mesenchymal Stem Cell 52.7 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
SERPINA3 (serpin peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 3) Using a linear mixed model, differential expression with age was identified in SERPINA3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Serpina3n (serine (or cysteine) peptidase inhibitor, clade A, member 3N)   Male and Female 2 24 Visual Apparatus 141.0 <0.001 2708: Ida et al. (2003) “Age-related changes in the transcriptional profile of mouse RPE/choroid.” Physiol. Genomics 15(3):258-262 (14519767)
SERPINA5 (serpin peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 5) Using a linear mixed model, differential expression with age was identified in SERPINA5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SERPINA5 (serpin peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 5)   Male and Female 27 92 Kidney -11.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
SERPINB2 (serpin peptidase inhibitor, clade B (ovalbumin), member 2) Using a linear mixed model, differential expression with age was identified in SERPINB2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SERPINE2 (serpin peptidase inhibitor, clade E (nexin, plasminogen activator inhibitor type 1), member 2) Using a linear mixed model, differential expression with age was identified in SERPINE2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Serpinf1 (serine (or cysteine) peptidase inhibitor, clade F, member 1)   Male and Female 8 24 Muscle -8.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
SERPINF1 (serpin peptidase inhibitor, clade F (alpha-2 antiplasmin, pigment epithelium derived factor), member)   Male and Female 26 106 Brain -7.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SERPINH1 (serpin peptidase inhibitor, clade H (heat shock protein 47), member 1, (collagen binding protein 1)) Using a linear mixed model, differential expression with age was identified in SERPINH1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SETDB1 (SET domain, bifurcated 1) Using a linear mixed model, differential expression with age was identified in SETDB1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SETDB2 (SET domain, bifurcated 2) Using a linear mixed model, differential expression with age was identified in SETDB2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SF3B5 (splicing factor 3b, subunit 5, 10kDa) Using a linear mixed model, differential expression with age was identified in SF3B5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Sfi1 (Sfi1 homolog, spindle assembly associated (yeast))   Male and Female 2 26 Lung 10.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
SFPQ (splicing factor proline/glutamine-rich (polypyrimidine tract binding protein associated))   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
Sfrs5 (splicing factor, arginine/serine-rich 5 (SRp40, HRS))   Male and Female 2 15 Hippocampus 3.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
SFRS5 (splicing factor, arginine/serine-rich 5) Using a linear mixed model, differential expression with age was identified in SRSF5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SFRS5 (splicing factor, arginine/serine-rich 5)   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SFRS6 (splicing factor, arginine/serine-rich 6)   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SFSWAP (splicing factor, suppressor of white-apricot family) Using a linear mixed model, differential expression with age was identified in SFSWAP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SFTPC (surfactant protein C) Using a linear mixed model, differential expression with age was identified in SFTPC in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Sgca (sarcoglycan, alpha (dystrophin-associated glycoprotein))   Male and Female 5 25 Skeletal Muscle 13.0 <0.001 2648: NCBI GEO Dataset (2006) “Caloric restriction effect on aged skeletal muscle” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2612)|2835: Edwards et al. (2007) “Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program.” BMC Genomics 8:80 (17381838)
Sgk1 (serum/glucocorticoid regulated kinase 1)   Male and Female 2 15 Hippocampus 9.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
SGK2 (serum/glucocorticoid regulated kinase 2) Using a linear mixed model, differential expression with age was identified in SGK2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SGPL1 (sphingosine-1-phosphate lyase 1) Using a linear mixed model, differential expression with age was identified in SGPL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SGPP2 (sphingosine-1-phosphate phosphatase 2) Using a linear mixed model, differential expression with age was identified in SGPP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SGSM2 (small G protein signaling modulator 2) Using a linear mixed model, differential expression with age was identified in SGSM2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SH3BGRL3 (SH3 domain binding glutamate-rich protein like 3) Using a linear mixed model, differential expression with age was identified in SH3BGRL3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SH3GLB1 (SH3-domain GRB2-like endophilin B1) Using a linear mixed model, differential expression with age was identified in SH3GLB1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SH3KBP1 (SH3-domain kinase binding protein 1)   Male and Female 20 75 Skeletal Muscle -5.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SHB (Src homology 2 domain containing adaptor protein B) Using a linear mixed model, differential expression with age was identified in SHB in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SHF (Src homology 2 domain containing F) Using a linear mixed model, differential expression with age was identified in SHF in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SHISA2 (shisa family member 2) Using a linear mixed model, differential expression with age was identified in SHISA2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SHKBP1 (SH3KBP1 binding protein 1) Using a linear mixed model, differential expression with age was identified in SHKBP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SHROOM3 (shroom family member 3) Using a linear mixed model, differential expression with age was identified in SHROOM3 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SIDT2 (SID1 transmembrane family, member 2) Using a linear mixed model, differential expression with age was identified in SIDT2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SIL1 (SIL1 nucleotide exchange factor) Using a linear mixed model, differential expression with age was identified in SIL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Sirt1 (sirtuin 1 (silent mating type information regulation 2, homolog) 1 (S. cerevisiae)) Bone marrow stromal cells derived from 15-month-old mice had decreased Sirt1 activity than cells derived from 4-month-old mice. Male 0 15 Bone Marrow     2855: Li et al. (2011) “Nicotinamide phosphoribosyltransferase (Nampt) affects the lineage fate determination of mesenchymal stem cells: a possible cause for reduced osteogenesis and increased adipogenesis in older individuals.” J. Bone Miner. Res. 26(11):2656-2664 (21812028)
SIRT5 (sirtuin (silent mating type information regulation 2 homolog) 5 (S. cerevisiae))   Male and Female 20 75 Skeletal Muscle -3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SKA2P1 (spindle and kinetochore associated complex subunit 2 pseudogene 1) Gene expression showed a significant (p<E-3) decrease in the expression of SKA2P1 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -36.71 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
SKP1 (S-phase kinase-associated protein 1)   Male and Female 26 106 Brain -4.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SLC10A3 (solute carrier family 10, member 3) Using a linear mixed model, differential expression with age was identified in SLC10A3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC10A4 (solute carrier family 10, member 4) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypermethylation of SLC10A4 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
SLC11A2 (solute carrier family 11 (proton-coupled divalent metal ion transporter), member 2) Using a linear mixed model, differential expression with age was identified in SLC11A2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC12A3 (solute carrier family 12 (sodium/chloride transporters), member 3)   Male and Female 27 92 Kidney -16.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
SLC15A3 (solute carrier family 15 (oligopeptide transporter), member 3) Using a linear mixed model, differential expression with age was identified in SLC15A3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC15A3 (solute carrier family 15 (oligopeptide transporter), member 3) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypermethylation of SLC15A3 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
SLC16A5 (solute carrier family 16 (monocarboxylate transporter), member 5) Using a linear mixed model, differential expression with age was identified in SLC16A5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC16A9 (solute carrier family 16, member 9) Using a linear mixed model, differential expression with age was identified in SLC16A9 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Slc17a3 (solute carrier family 17 (sodium phosphate), member 3)   Male and Female 5 22 Brain 11.0 <0.001 2765: Godbout et al. (2005) “Exaggerated neuroinflammation and sickness behavior in aged mice following activation of the peripheral innate immune system.” FASEB J. 19(10):1329-1331 (15919760)|2833: NCBI GEO Dataset (2005) “Age effect on lipopolysaccharide-induced neuroinflammation and sickness behavior” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS1311)
SLC17A7 (solute carrier family 17 (sodium-dependent inorganic phosphate cotransporter), member 7) Using a linear mixed model, differential expression with age was identified in SLC17A7 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC17A7 (solute carrier family 17 (sodium-dependent inorganic phosphate cotransporter), member 7)   Male and Female 26 106 Brain -9.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SLC22A17 (solute carrier family 22, member 17) Using a linear mixed model, differential expression with age was identified in SLC22A17 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC22A18 (solute carrier family 22, member 18) Comparison of DNA methylation showed a significantly increased methylation level of SLC22A18 in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis 16.9 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
SLC25A1 (solute carrier family 25 (mitochondrial carrier; citrate transporter), member 1) Using a linear mixed model, differential expression with age was identified in SLC25A1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Slc25a11 (solute carrier family 25 (mitochondrial carrier oxoglutarate carrier), member 11)   Male and Female 8 24 Muscle -1.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
SLC25A12 (solute carrier family 25 (mitochondrial carrier, Aralar), member 12)   Male and Female 20 75 Skeletal Muscle -2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SLC25A18 (solute carrier family 25 (glutamate carrier), member 18) Using a linear mixed model, differential expression with age was identified in SLC25A18 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC25A20 (solute carrier family 25 (carnitine/acylcarnitine translocase), member 20) Using a linear mixed model, differential expression with age was identified in SLC25A20 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC25A25 (solute carrier family 25 (mitochondrial carrier; phosphate carrier), member 25) Using a linear mixed model, differential expression with age was identified in SLC25A25 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC25A28 (solute carrier family 25 (mitochondrial iron transporter), member 28) Using a linear mixed model, differential expression with age was identified in SLC25A28 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Slc25a28 (solute carrier family 25, member 28)   Male and Female 8 24 Muscle 5.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
SLC25A3 (solute carrier family 25 (mitochondrial carrier; phosphate carrier), member 3)   Male and Female 20 75 Skeletal Muscle -2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SLC25A30 (solute carrier family 25, member 30)   Male and Female 20 75 Skeletal Muscle -4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SLC25A34 (solute carrier family 25, member 34) Using a linear mixed model, differential expression with age was identified in SLC25A34 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC25A35 (solute carrier family 25, member 35) Using a linear mixed model, differential expression with age was identified in SLC25A35 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC25A4 (solute carrier family 25 (mitochondrial carrier; adenine nucleotide translocator), member 4)   Male and Female 20 75 Skeletal Muscle -3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SLC25A4 (solute carrier family 25 (mitochondrial carrier; adenine nucleotide translocator), member 4)   Male and Female 26 106 Brain -9.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SLC25A42 (solute carrier family 25, member 42) Using a linear mixed model, differential expression with age was identified in SLC25A42 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Slc25a5 (solute carrier family 25 (mitochondrial carrier, adenine nucleotide translocator), member 5)   Male and Female 2 15 Hippocampus -2.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
SLC26A10 (solute carrier family 26, member 10) Using a linear mixed model, differential expression with age was identified in SLC26A10 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC26A10 (solute carrier family 26, member 10) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypermethylation of SLC26A10 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
SLC26A3 (solute carrier family 26 (anion exchanger), member 3) Using a linear mixed model, differential expression with age was identified in SLC26A3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC27A2 (solute carrier family 27 (fatty acid transporter), member 2) Using a linear mixed model, differential expression with age was identified in SLC27A2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC27A3 (solute carrier family 27 (fatty acid transporter), member 3) Using a linear mixed model, differential expression with age was identified in SLC27A3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC2A1 (solute carrier family 2 (facilitated glucose transporter), member 1) Using a linear mixed model, differential expression with age was identified in SLC2A1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC2A1 (solute carrier family 2 (facilitated glucose transporter), member 1) An age-associated decrease in the activity of glucose transport across the blood brain barrier is thought to be associated with vulnerability to hypoglycemia and cognitive decline. Male and Female -1 -1 Blood Brain Barrier     2864: Zeevi et al. (2010) “The blood-brain barrier: geriatric relevance of a critical brain-body interface.” J Am Geriatr Soc 58(9):1749-1757 (20863334)
Slc2a1 (solute carrier family 2 (facilitated glucose transporter), member 1)   Male and Female 2 15 Hippocampus 6.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
SLC2A3P1 (solute carrier family 2 (facilitated glucose transporter), member 3 pseudogene 1)   Male and Female 26 106 Brain -17.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SLC2A5 (solute carrier family 2 (facilitated glucose/fructose transporter), member 5) Using a linear mixed model, differential expression with age was identified in SLC2A5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC30A1 (solute carrier family 30 (zinc transporter), member 1) Using a linear mixed model, differential expression with age was identified in SLC30A1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC31A2 (solute carrier family 31 (copper transporter), member 2) Using a linear mixed model, differential expression with age was identified in SLC31A2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC35A2 (solute carrier family 35 (UDP-galactose transporter), member A2) Using a linear mixed model, differential expression with age was identified in SLC35A2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Slc35a2 (solute carrier family 35 (UDP-galactose transporter), member A2)   Male and Female 8 24 Muscle -9.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
SLC35B1 (solute carrier family 35, member B1) Using a linear mixed model, differential expression with age was identified in SLC35B1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC35F1 (solute carrier family 35, member F1) Using a linear mixed model, differential expression with age was identified in SLC35F1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC35F2 (solute carrier family 35, member F2) Using a linear mixed model, differential expression with age was identified in SLC35F2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC35G1 (solute carrier family 35, member G1) Using a linear mixed model, differential expression with age was identified in SLC35G1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC37A4 (solute carrier family 37 (glucose-6-phosphate transporter), member 4) Using a linear mixed model, differential expression with age was identified in SLC37A4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC38A1 (solute carrier family 38, member 1)   Male and Female 20 75 Skeletal Muscle -7.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SLC38A10 (solute carrier family 38, member 10) Using a linear mixed model, differential expression with age was identified in SLC38A10 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC38A10 (solute carrier family 38, member 10) Using a linear mixed model, differential expression with age was identified in SLC38A10 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Slc38a2 (solute carrier family 38, member 2)   Male and Female 8 24 Muscle 4.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
SLC39A3 (solute carrier family 39 (zinc transporter), member 3) Using a linear mixed model, differential expression with age was identified in SLC39A3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC41A1 (solute carrier family 41 (magnesium transporter), member 1) Using a linear mixed model, differential expression with age was identified in SLC41A1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC41A3 (solute carrier family 41, member 3) Gene expression showed a significant (p<E-3) increase in the expression of SLC41A3 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary 52.0 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
SLC45A2 (solute carrier family 45, member 2) Using a linear mixed model, differential expression with age was identified in SLC45A2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC45A4 (solute carrier family 45, member 4) Using a linear mixed model, differential expression with age was identified in SLC45A4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC46A3 (solute carrier family 46, member 3) Using a linear mixed model, differential expression with age was identified in SLC46A3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC47A1 (solute carrier family 47 (multidrug and toxin extrusion), member 1) Using a linear mixed model, differential expression with age was identified in SLC47A1 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC47A1 (solute carrier family 47 (multidrug and toxin extrusion), member 1) Using a linear mixed model, differential expression with age was identified in SLC47A1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC48A1 (solute carrier family 48 (heme transporter), member 1) Using a linear mixed model, differential expression with age was identified in SLC48A1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC4A11 (solute carrier family 4, sodium borate transporter, member 11) Using a linear mixed model, differential expression with age was identified in SLC4A11 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC50A1 (solute carrier family 50 (sugar efflux transporter), member 1) Using a linear mixed model, differential expression with age was identified in SLC50A1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC52A1 (solute carrier family 52 (riboflavin transporter), member 1) Using a linear mixed model, differential expression with age was identified in SLC52A1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC52A2 (solute carrier family 52 (riboflavin transporter), member 2) Using a linear mixed model, differential expression with age was identified in SLC52A2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC52A2 (solute carrier family 52 (riboflavin transporter), member 2) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypermethylation of SLC52A2 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
SLC5A6 (solute carrier family 5 (sodium/multivitamin and iodide cotransporter), member 6) Using a linear mixed model, differential expression with age was identified in SLC5A6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC6A17 (solute carrier family 6 (neutral amino acid transporter), member 17) Using a linear mixed model, differential expression with age was identified in SLC6A17 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Slc6a4 (solute carrier family 6 (neurotransmitter transporter, serotonin), member 4)   Male and Female 2 26 Lung 16.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
SLC6A8 (solute carrier family 6 (neurotransmitter transporter), member 8) Using a linear mixed model, differential expression with age was identified in SLC6A8 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC7A1 (solute carrier family 7 (cationic amino acid transporter, y+ system), member 1) Using a linear mixed model, differential expression with age was identified in SLC7A1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC7A3 (solute carrier family 7 (cationic amino acid transporter, y+ system), member 3)   Male and Female 20 75 Skeletal Muscle -4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SLC7A4 (solute carrier family 7, member 4) Using a linear mixed model, differential expression with age was identified in SLC7A4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC7A5 (solute carrier family 7 (amino acid transporter light chain, L system), member 5) Using a linear mixed model, differential expression with age was identified in SLC7A5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLC7A8 (solute carrier family 7 (amino acid transporter light chain, L system), member 8) Using a linear mixed model, differential expression with age was identified in SLC7A8 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Slc9a1 (solute carrier family 9 (sodium/hydrogen exchanger), member 1)   Male and Female 8 24 Muscle 4.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
SLC9A9 (solute carrier family 9, subfamily A (NHE9, cation proton antiporter 9), member 9) Using a linear mixed model, differential expression with age was identified in SLC9A9 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLCO2B1 (solute carrier organic anion transporter family, member 2B1) Using a linear mixed model, differential expression with age was identified in SLCO2B1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLCO3A1 (solute carrier organic anion transporter family, member 3A1) Gene expression showed a significant (p<E-3) increase in the expression of SLCO3A1 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary 92.0 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
Slco4a1 (solute carrier organic anion transporter family, member 4a1)   Male and Female 3 23 Hematological System 17.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
SLFN11 (schlafen family member 11)   Male and Female 0 102 Temporal Lobe 0.0 <0.001 2842: Hernandez et al. (2011) “Distinct DNA methylation changes highly correlated with chronological age in the human brain.” Hum. Mol. Genet. 20(6):1164-1172 (21216877)
SLFN11 (schlafen family member 11)   Male and Female 0 102 Pons 0.0 <0.001 2842: Hernandez et al. (2011) “Distinct DNA methylation changes highly correlated with chronological age in the human brain.” Hum. Mol. Genet. 20(6):1164-1172 (21216877)
SLFN11 (schlafen family member 11)   Male and Female 0 102 Frontal Lobe 0.0 <0.001 2842: Hernandez et al. (2011) “Distinct DNA methylation changes highly correlated with chronological age in the human brain.” Hum. Mol. Genet. 20(6):1164-1172 (21216877)
SLFN11 (schlafen family member 11)   Male and Female 0 102 Cerebellum 0.0 <0.001 2842: Hernandez et al. (2011) “Distinct DNA methylation changes highly correlated with chronological age in the human brain.” Hum. Mol. Genet. 20(6):1164-1172 (21216877)
SLITRK4 (SLIT and NTRK-like family, member 4) Using a linear mixed model, differential expression with age was identified in SLITRK4 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLMAP (sarcolemma associated protein) Using a linear mixed model, differential expression with age was identified in SLMAP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLMAP (sarcolemma associated protein) Using a linear mixed model, differential expression with age was identified in SLMAP in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLPI (secretory leukocyte peptidase inhibitor) Comparison of DNA methylation showed a significantly decreased methylation level of SLPI in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis -18.6 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
SLTM (SAFB-like, transcription modulator) Using a linear mixed model, differential expression with age was identified in SLTM in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SLTM (SAFB-like, transcription modulator) Using a linear mixed model, differential expression with age was identified in SLTM in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Slu7 (SLU7 splicing factor homolog (S. cerevisiae))   Male and Female 3 23 Hematological System -5.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
Smad1 (MAD homolog 1 (Drosophila))   Male and Female 2 15 Hippocampus 4.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
SMAD2 (SMAD family member 2) Comparison of DNA methylation showed a significantly increased methylation level of SMAD2 in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis 16.5 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
SMAD2 (SMAD family member 2) Gene expression showed a significant (p<E-3) decrease in the expression of SMAD2 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -57.98 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
SMAD3 (SMAD family member 3) Using a linear mixed model, differential expression with age was identified in SMAD3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SMAD7 (SMAD family member 7) Using a linear mixed model, differential expression with age was identified in SMAD7 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SMAGP (small cell adhesion glycoprotein) Using a linear mixed model, differential expression with age was identified in SMAGP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SMARCA2 (SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily a, member 2)   Male and Female 26 106 Brain -3.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SMARCA4 (SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily a, member 4) Using a linear mixed model, differential expression with age was identified in SMARCA4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SMARCAD1 (SWI/SNF-related, matrix-associated actin-dependent regulator of chromatin, subfamily a, containing DEAD/H box 1) Using a linear mixed model, differential expression with age was identified in SMARCAD1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SMC4 (structural maintenance of chromosomes 4) Using a linear mixed model, differential expression with age was identified in SMC4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SMG1 (SMG1 phosphatidylinositol 3-kinase-related kinase) Using a linear mixed model, differential expression with age was identified in SMG1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SMIM14 (small integral membrane protein 14) Gene expression showed a significant (p<E-3) decrease in the expression of C4orf34 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -35.9 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
SMOC1 (SPARC related modular calcium binding 1) Using a linear mixed model, differential expression with age was identified in SMOC1 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SMOC2 (SPARC related modular calcium binding 2) Using a linear mixed model, differential expression with age was identified in SMOC2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SMOX (spermine oxidase) Using a linear mixed model, differential expression with age was identified in SMOX in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SMPD1 (sphingomyelin phosphodiesterase 1, acid lysosomal) Using a linear mixed model, differential expression with age was identified in SMPD1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SMYD2 (SET and MYND domain containing 2) Using a linear mixed model, differential expression with age was identified in SMYD2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SNAP23 (synaptosomal-associated protein, 23kDa) Gene expression showed a significant (p<E-3) decrease in the expression of SNAP23 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -51.46 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
SND1 (staphylococcal nuclease and tudor domain containing 1) Using a linear mixed model, differential expression with age was identified in SND1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Snd1 (staphylococcal nuclease and tudor domain containing 1)   Male and Female 3 23 Hematological System -5.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
SNN (stannin) Comparison of DNA methylation showed a significantly increased methylation level of SNN in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis 19.5 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
SNRK (SNF related kinase) Using a linear mixed model, differential expression with age was identified in SNRK in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SNRNP25 (small nuclear ribonucleoprotein 25kDa (U11/U12)) Using a linear mixed model, differential expression with age was identified in SNRNP25 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SNRNP70 (small nuclear ribonucleoprotein 70kDa (U1)) Using a linear mixed model, differential expression with age was identified in SNRNP70 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SNRNP70 (small nuclear ribonucleoprotein 70kDa (U1))   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
Snrpd2 (small nuclear ribonucleoprotein D2)   Male and Female 8 24 Muscle -2.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
SNRPD3 (small nuclear ribonucleoprotein D3 polypeptide 18kDa) Using a linear mixed model, differential expression with age was identified in SNRPD3 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SNTA1 (syntrophin, alpha 1) Using a linear mixed model, differential expression with age was identified in SNTA1 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SNTB1 (syntrophin, beta 1 (dystrophin-associated protein A1, 59kDa, basic component 1)) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypomethylation of SNTB1 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
SNTG1 (syntrophin, gamma 1) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of SNTG1 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
Snx12 (sorting nexin 12)   Male and Female 8 24 Muscle -3.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
SNX20 (sorting nexin 20) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of SNX20 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
Snx20 (sorting nexin 20)   Male and Female 8 24 Muscle -7.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
SNX3 (sorting nexin 3)   Male and Female 26 106 Brain -5.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
Snx33 (sorting nexin 33)   Male and Female 3 23 Hematological System 62.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
SOAT1 (sterol O-acyltransferase 1) Using a linear mixed model, differential expression with age was identified in SOAT1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SOD2 (superoxide dismutase 2, mitochondrial) Using a linear mixed model, differential expression with age was identified in SOD2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SORBS2 (sorbin and SH3 domain containing 2) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of SORBS2 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
SORD (sorbitol dehydrogenase) Using a linear mixed model, differential expression with age was identified in SORD in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SORT1 (sortilin 1) Using a linear mixed model, differential expression with age was identified in SORT1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Sos1 (son of sevenless homolog 1 (Drosophila))   Male and Female 2 26 Lung -5.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
SOWAHC (sosondowah ankyrin repeat domain family member C) Using a linear mixed model, differential expression with age was identified in SOWAHC in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Sox10 (SRY-box containing gene 10)   Male and Female 5 30 Anatomical System 4.0 <0.001 2926: Lee et al. (2000) “Gene-expression profile of the ageing brain in mice.” Nat. Genet. 25(3):294-297 (10888876)
SOX15 (SRY (sex determining region Y)-box 15) Using a linear mixed model, differential expression with age was identified in SOX15 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Sp110 (Sp110 nuclear body protein)   Male and Female 3 23 Hematological System 10.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
SPAG7 (sperm associated antigen 7) Comparison of DNA methylation showed a significantly decreased methylation level of SPAG7 in bone marrow mesenchymal stem cells obtained from elderly donors (aged 53-85 years old) compared to cells from younger donors (aged 21-50 years old) Male and Female 21 85 Mesenchymal Stem Cell -26.2 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
SPAG7 (sperm associated antigen 7) Comparison of DNA methylation showed a significantly increased methylation level of SPAG7 in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis 26.1 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
SPAG9 (sperm associated antigen 9)   Male and Female 20 75 Skeletal Muscle 4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
Spata17 (spermatogenesis associated 17)   Male and Female 2 26 Lung 30.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
SPATS2 (spermatogenesis associated, serine-rich 2) Using a linear mixed model, differential expression with age was identified in SPATS2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Spats2 (spermatogenesis associated, serine-rich 2)   Male and Female 3 23 Hematological System 20.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
SPCS3 (signal peptidase complex subunit 3 homolog (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in SPCS3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SPEN (spen family transcriptional repressor) Using a linear mixed model, differential expression with age was identified in SPEN in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SPG11 (spastic paraplegia 11 (autosomal recessive)) Using a linear mixed model, differential expression with age was identified in SPG11 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Spg20 (spastic paraplegia 20, spartin (Troyer syndrome) homolog (human))   Male and Female 5 25 Skeletal Muscle 11.0 <0.001 2648: NCBI GEO Dataset (2006) “Caloric restriction effect on aged skeletal muscle” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2612)|2835: Edwards et al. (2007) “Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program.” BMC Genomics 8:80 (17381838)
SPG7 (spastic paraplegia 7 (pure and complicated autosomal recessive)) Using a linear mixed model, differential expression with age was identified in SPG7 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SPINT2 (serine peptidase inhibitor, Kunitz type, 2)   Male and Female 26 106 Brain -3.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
Spint2 (serine protease inhibitor, Kunitz type 2)   Male and Female 8 24 Muscle 6.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
SPIRE2 (spire-type actin nucleation factor 2) Using a linear mixed model, differential expression with age was identified in SPIRE2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SPOCK1 (sparc/osteonectin, cwcv and kazal-like domains proteoglycan (testican) 1) Using a linear mixed model, differential expression with age was identified in SPOCK1 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SPON1 (spondin 1, extracellular matrix protein) Using a linear mixed model, differential expression with age was identified in SPON1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SPON1 (spondin 1, extracellular matrix protein) Using a linear mixed model, differential expression with age was identified in SPON1 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SPON1 (spondin 1, extracellular matrix protein)   Male and Female 26 106 Brain 21.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SPR (sepiapterin reductase (7,8-dihydrobiopterin:NADP+ oxidoreductase)) Using a linear mixed model, differential expression with age was identified in SPR in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SPRR1A (small proline-rich protein 1A) Using a linear mixed model, differential expression with age was identified in SPRR1A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SPRR4 (small proline-rich protein 4) Using a linear mixed model, differential expression with age was identified in SPRR4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SPRY2 (sprouty homolog 2 (Drosophila)) Using a linear mixed model, differential expression with age was identified in SPRY2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SPRYD4 (SPRY domain containing 4) Using a linear mixed model, differential expression with age was identified in SPRYD4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SPTBN1 (spectrin, beta, non-erythrocytic 1) Gene expression showed a significant (p<E-3) decrease in the expression of SPTBN1 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -48.45 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
SPTBN4 (spectrin, beta, non-erythrocytic 4) Using a linear mixed model, differential expression with age was identified in SPTBN4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SPTLC3 (serine palmitoyltransferase, long chain base subunit 3) Using a linear mixed model, differential expression with age was identified in SPTLC3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Sqle (squalene epoxidase)   Male and Female 6 22 Liver 26.0 <0.001 1334: Papaconstantinou et al. (2005) “Hepatic gene and protein expression of primary components of the IGF-I axis in long lived Snell dwarf mice.” Mech. Ageing Dev. 126(6-7):692-704 (15888324)|2981: NCBI GEO Dataset (2005) “Age effect on livers of long-lived Snell dwarf mutants” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2019)
SREBF1 (sterol regulatory element binding transcription factor 1) Using a linear mixed model, differential expression with age was identified in SREBF1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Srgn (serglycin)   Male and Female 2 26 Lung 5.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
SRM (spermidine synthase) Using a linear mixed model, differential expression with age was identified in SRM in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SRPK2 (SRSF protein kinase 2) Using a linear mixed model, differential expression with age was identified in SRPK2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SRRM2 (serine/arginine repetitive matrix 2) Using a linear mixed model, differential expression with age was identified in SRRM2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SRRT (serrate, RNA effector molecule) Using a linear mixed model, differential expression with age was identified in SRRT in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SRSF2 (serine/arginine-rich splicing factor 2) Using a linear mixed model, differential expression with age was identified in SRSF2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SRSF4 (serine/arginine-rich splicing factor 4) Using a linear mixed model, differential expression with age was identified in SRSF4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SS18L1 (synovial sarcoma translocation gene on chromosome 18-like 1) Using a linear mixed model, differential expression with age was identified in SS18L1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SSH2 (slingshot protein phosphatase 2) Using a linear mixed model, differential expression with age was identified in SSH2 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SSH3 (slingshot protein phosphatase 3) Using a linear mixed model, differential expression with age was identified in SSH3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Ssrp1 (structure specific recognition protein 1)   Male and Female 5 25 Skeletal Muscle -3.0 <0.001 2648: NCBI GEO Dataset (2006) “Caloric restriction effect on aged skeletal muscle” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2612)|2835: Edwards et al. (2007) “Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program.” BMC Genomics 8:80 (17381838)
St3gal3 (ST3 beta-galactoside alpha-2,3-sialyltransferase 3)   Male and Female 6 22 Liver 25.0 <0.001 1334: Papaconstantinou et al. (2005) “Hepatic gene and protein expression of primary components of the IGF-I axis in long lived Snell dwarf mice.” Mech. Ageing Dev. 126(6-7):692-704 (15888324)|2981: NCBI GEO Dataset (2005) “Age effect on livers of long-lived Snell dwarf mutants” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2019)
ST3GAL5 (ST3 beta-galactoside alpha-2,3-sialyltransferase 5) Using a linear mixed model, differential expression with age was identified in ST3GAL5 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ST3GAL6 (ST3 beta-galactoside alpha-2,3-sialyltransferase 6) Using a linear mixed model, differential expression with age was identified in ST3GAL6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ST5 (suppression of tumorigenicity 5) Using a linear mixed model, differential expression with age was identified in ST5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ST6GALNAC2 (ST6 (alpha-N-acetyl-neuraminyl-2,3-beta-galactosyl-1,3)-N-acetylgalactosaminide alpha-2,6-sialyltran)   Male and Female 20 75 Skeletal Muscle -4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
ST6GALNAC4 (ST6 (alpha-N-acetyl-neuraminyl-2,3-beta-galactosyl-1,3)-N-acetylgalactosaminide alpha-2,6-sialyltransferase 4) Using a linear mixed model, differential expression with age was identified in ST6GALNAC4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ST6GALNAC6 (ST6 (alpha-N-acetyl-neuraminyl-2,3-beta-galactosyl-1,3)-N-acetylgalactosaminide alpha-2,6-sialyltransferase 6) Using a linear mixed model, differential expression with age was identified in ST6GALNAC6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
STAMBP (STAM binding protein)   Male and Female 20 75 Skeletal Muscle -2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
STAMBPL1 (STAM binding protein-like 1) Using a linear mixed model, differential expression with age was identified in STAMBPL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
STARD8 (StAR-related lipid transfer (START) domain containing 8)   Male and Female 27 92 Kidney -14.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
Stat5a (signal transducer and activator of transcription 5A)   Male and Female 3 23 Hematological System 7.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
Stbd1 (starch binding domain 1)   Male and Female 5 25 Skeletal Muscle 17.0 <0.001 2648: NCBI GEO Dataset (2006) “Caloric restriction effect on aged skeletal muscle” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2612)|2835: Edwards et al. (2007) “Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program.” BMC Genomics 8:80 (17381838)
STC2 (stanniocalcin 2) Using a linear mixed model, differential expression with age was identified in STC2 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
STEAP2 (STEAP family member 2, metalloreductase) Using a linear mixed model, differential expression with age was identified in STEAP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Stfa2l1 (stefin A2 like 1)   Male and Female 2 26 Lung 53.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
STK31 (serine/threonine kinase 31) Using a linear mixed model, differential expression with age was identified in STK31 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
STK32B (serine/threonine kinase 32B) Using a linear mixed model, differential expression with age was identified in STK32B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
STMN1 (stathmin 1) Using a linear mixed model, differential expression with age was identified in STMN1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Stmn1 (stathmin 1)   Male and Female 2 26 Lung -4.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
STMN2 (stathmin-like 2) Using a linear mixed model, differential expression with age was identified in STMN2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
STMN2 (stathmin-like 2)   Male and Female 26 106 Brain -6.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
Stmn2 (stathmin-like 2)   Male and Female 3 23 Hematological System 97.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
STMN4 (stathmin-like 4) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypermethylation of STMN4 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
STPG1 (sperm-tail PG-rich repeat containing 1) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of STPG1 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
STRADB (STE20-related kinase adaptor beta)   Male and Female 20 75 Skeletal Muscle -4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
Sts (steroid sulfatase)   Male and Female 8 24 Muscle 27.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
STX11 (syntaxin 11) Using a linear mixed model, differential expression with age was identified in STX11 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
STX16 (syntaxin 16) Using a linear mixed model, differential expression with age was identified in STX16 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Stx1a (syntaxin 1A (brain))   Male and Female 5 30 Anatomical System -3.0 <0.001 2926: Lee et al. (2000) “Gene-expression profile of the ageing brain in mice.” Nat. Genet. 25(3):294-297 (10888876)
STX4 (syntaxin 4) Using a linear mixed model, differential expression with age was identified in STX4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
STXBP5 (syntaxin binding protein 5 (tomosyn)) Using a linear mixed model, differential expression with age was identified in STXBP5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SUCLG1 (succinate-CoA ligase, alpha subunit)   Male and Female 20 75 Skeletal Muscle -3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SUGP2 (SURP and G patch domain containing 2) Using a linear mixed model, differential expression with age was identified in SUGP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SULF2 (sulfatase 2) Using a linear mixed model, differential expression with age was identified in SULF2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SULT2B1 (sulfotransferase family, cytosolic, 2B, member 1) Using a linear mixed model, differential expression with age was identified in SULT2B1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SULT4A1 (sulfotransferase family 4A, member 1) Using a linear mixed model, differential expression with age was identified in SULT4A1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SUMF1 (sulfatase modifying factor 1) Using a linear mixed model, differential expression with age was identified in SUMF1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SUMO2 (SMT3 suppressor of mif two 3 homolog 2 (S. cerevisiae))   Male and Female 20 75 Skeletal Muscle 2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
SVEP1 (sushi, von Willebrand factor type A, EGF and pentraxin domain containing 1) Using a linear mixed model, differential expression with age was identified in SVEP1 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Svs4 (seminal vesicle secretory protein 4)   Male and Female 5 22 Brain 2642.0 <0.001 2765: Godbout et al. (2005) “Exaggerated neuroinflammation and sickness behavior in aged mice following activation of the peripheral innate immune system.” FASEB J. 19(10):1329-1331 (15919760)|2833: NCBI GEO Dataset (2005) “Age effect on lipopolysaccharide-induced neuroinflammation and sickness behavior” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS1311)
SYN2 (synapsin II)   Male and Female 26 106 Brain -29.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SYNC (syncoilin, intermediate filament protein) Comparison of DNA methylation showed a significantly decreased methylation level of SYNC in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis -16.0 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
SYNC (syncoilin, intermediate filament protein) Comparison of DNA methylation showed a significantly increased methylation level of SYNC in bone marrow mesenchymal stem cells obtained from elderly donors (aged 53-85 years old) compared to cells from younger donors (aged 21-50 years old) Male and Female 21 85 Mesenchymal Stem Cell 21.4 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
SYNGR1 (synaptogyrin 1) Using a linear mixed model, differential expression with age was identified in SYNGR1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SYNM (synemin, intermediate filament protein) Using a linear mixed model, differential expression with age was identified in SYNM in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Synm (synemin, intermediate filament protein)   Male and Female 3 23 Hematological System 66.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
SYPL2 (synaptophysin-like 2) Using a linear mixed model, differential expression with age was identified in SYPL2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SYT1 (synaptotagmin I)   Male and Female 26 106 Brain -4.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
SYT17 (synaptotagmin XVII) Using a linear mixed model, differential expression with age was identified in SYT17 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SYT9 (synaptotagmin IX) Using a linear mixed model, differential expression with age was identified in SYT9 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SYTL2 (synaptotagmin-like 2) Using a linear mixed model, differential expression with age was identified in SYTL2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
SZRD1 (SUZ RNA binding domain containing 1) Using a linear mixed model, differential expression with age was identified in SZRD1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TACC2 (transforming, acidic coiled-coil containing protein 2) Using a linear mixed model, differential expression with age was identified in TACC2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TAF10 (TAF10 RNA polymerase II, TATA box binding protein (TBP)-associated factor, 30kDa) Using a linear mixed model, differential expression with age was identified in TAF10 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TAF1C (TATA box binding protein (TBP)-associated factor, RNA polymerase I, C, 110kDa) Using a linear mixed model, differential expression with age was identified in TAF1C in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TAF5 (TAF5 RNA polymerase II, TATA box binding protein (TBP)-associated factor, 100kDa) Using a linear mixed model, differential expression with age was identified in TAF5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TAF7L (TAF7-like RNA polymerase II, TATA box binding protein (TBP)-associated factor, 50kDa) Using a linear mixed model, differential expression with age was identified in TAF7L in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TAGLN3 (transgelin 3) Using a linear mixed model, differential expression with age was identified in TAGLN3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TAGLN3 (transgelin 3)   Male and Female 26 106 Brain -5.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
TAP1 (transporter 1, ATP-binding cassette, sub-family B (MDR/TAP)) Using a linear mixed model, differential expression with age was identified in TAP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TAP2 (transporter 2, ATP-binding cassette, sub-family B (MDR/TAP)) Using a linear mixed model, differential expression with age was identified in TAP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TARBP1 (TAR (HIV-1) RNA binding protein 1) Using a linear mixed model, differential expression with age was identified in TARBP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TARDBP (TAR DNA binding protein) Using a linear mixed model, differential expression with age was identified in TARDBP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TAZ (tafazzin) Using a linear mixed model, differential expression with age was identified in TAZ in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TBATA (thymus, brain and testes associated) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypomethylation of TBATA and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
TBC1D16 (TBC1 domain family, member 16) Using a linear mixed model, differential expression with age was identified in TBC1D16 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TBC1D2 (TBC1 domain family, member 2) Using a linear mixed model, differential expression with age was identified in TBC1D2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TBC1D8 (TBC1 domain family, member 8 (with GRAM domain)) Using a linear mixed model, differential expression with age was identified in TBC1D8 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Tbl1x (transducin (beta)-like 1 X-linked)   Male and Female 8 24 Muscle 2.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
TBX20 (T-box 20) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypermethylation of TBX20 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
TBX4 (T-box 4) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypermethylation of TBX4 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
TBXAS1 (thromboxane A synthase 1 (platelet)) Using a linear mixed model, differential expression with age was identified in TBXAS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TCERG1 (transcription elongation regulator 1)   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
TCF12 (transcription factor 12)   Male and Female 26 106 Brain 7.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
TCF25 (transcription factor 25 (basic helix-loop-helix))   Male and Female 20 75 Skeletal Muscle 2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
TCF4 (transcription factor 4) At least seven CpG nucleotides in the first exon of TCF4 increase in methylation level with ageing. Male and Female 50 70 Gastric Mucosa 0.0   2804: Kim et al. (2008) “CpG methylation in exon 1 of transcription factor 4 increases with age in normal gastric mucosa and is associated with gene silencing in intestinal-type gastric cancers.” Carcinogenesis 29(8):1623-1631 (18635522)
Tcfcp2l1 (transcription factor CP2-like 1)   Male and Female 2 26 Lung -6.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
Tcfcp2l1 (transcription factor CP2-like 1)   Male and Female 2 15 Hippocampus 5.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
Tcfe3 (transcription factor E3)   Male and Female 2 26 Lung -3.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
TCHH (trichohyalin) Using a linear mixed model, differential expression with age was identified in TCHH in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TCHHL1 (trichohyalin-like 1) Using a linear mixed model, differential expression with age was identified in TCHHL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TCHP (trichoplein, keratin filament binding) Using a linear mixed model, differential expression with age was identified in TCHP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TCN2 (transcobalamin II) Using a linear mixed model, differential expression with age was identified in TCN2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Tcra (T-cell receptor alpha chain)   Male and Female 2 26 Lung 17.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
TEX264 (testis expressed 264) Using a linear mixed model, differential expression with age was identified in TEX264 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TF (transferrin) Using a linear mixed model, differential expression with age was identified in TF in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TFB1M (transcription factor B1, mitochondrial) Using a linear mixed model, differential expression with age was identified in TFB1M in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Tfdp1 (transcription factor Dp 1)   Male and Female 2 15 Hippocampus 2.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
TFF3 (trefoil factor 3 (intestinal)) Using a linear mixed model, differential expression with age was identified in TFF3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Tff3 (trefoil factor 3, intestinal)   Male and Female 6 22 Liver 97.0 <0.001 1334: Papaconstantinou et al. (2005) “Hepatic gene and protein expression of primary components of the IGF-I axis in long lived Snell dwarf mice.” Mech. Ageing Dev. 126(6-7):692-704 (15888324)|2981: NCBI GEO Dataset (2005) “Age effect on livers of long-lived Snell dwarf mutants” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2019)
TFG (TRK-fused gene) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of TFG and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
TGFBI (transforming growth factor, beta-induced, 68kDa) Using a linear mixed model, differential expression with age was identified in TGFBI in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TGM2 (transglutaminase 2 (C polypeptide, protein-glutamine-gamma-glutamyltransferase))   Male and Female 26 106 Brain 18.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
THBS2 (thrombospondin 2) Using a linear mixed model, differential expression with age was identified in THBS2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Thbs3 (thrombospondin 3)   Male and Female 2 26 Lung -12.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
THOC1 (THO complex 1) Using a linear mixed model, differential expression with age was identified in THOC1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
THRSP (thyroid hormone responsive) Using a linear mixed model, differential expression with age was identified in THRSP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
THY1 (Thy-1 cell surface antigen) Using a linear mixed model, differential expression with age was identified in THY1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
THY1 (Thy-1 cell surface antigen) Using a linear mixed model, differential expression with age was identified in THY1 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
THY1 (Thy-1 cell surface antigen)   Male and Female 26 106 Brain -7.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
Thy1 (thymus cell antigen 1, theta)   Male and Female 2 26 Lung 15.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
TIAL1 (TIA1 cytotoxic granule-associated RNA binding protein-like 1) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of TIAL1 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
TIMM17A (translocase of inner mitochondrial membrane 17 homolog A (yeast))   Male and Female 26 106 Brain -13.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
TIMP1 (TIMP metallopeptidase inhibitor 1) Using a linear mixed model, differential expression with age was identified in TIMP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TJAP1 (tight junction associated protein 1 (peripheral)) Using a linear mixed model, differential expression with age was identified in TJAP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TLCD1 (TLC domain containing 1) Using a linear mixed model, differential expression with age was identified in TLCD1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TLE2 (transducin-like enhancer of split 2) Using a linear mixed model, differential expression with age was identified in TLE2 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TLN2 (talin 2)   Male and Female 20 75 Skeletal Muscle -6.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
TLR1 (toll-like receptor 1) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe TLR1 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe 39.77 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR1 (toll-like receptor 1) Gene expression showed a significant (p<0.01) increase in the expression of hippocampus TLR1 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Hippocampus 87.35 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR2 (toll-like receptor 2) Gene expression showed a significant (p<0.01) increase in the expression of temporal lobe TLR2 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Temporal Lobe 185.14 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR2 (toll-like receptor 2) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe TLR2 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe 189.07 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR2 (toll-like receptor 2) Gene expression showed a significant (p<0.01) increase in the expression of frontal lobe TLR2 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Frontal Lobe 155.56 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR3 (toll-like receptor 3) Gene expression showed a significant (p<0.01) increase in the expression of hippocampus TLR3 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Hippocampus 52.96 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR4 (toll-like receptor 4) Gene expression showed a significant (p<0.01) increase in the expression of frontal lobe TLR4 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Frontal Lobe 150.87 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR4 (toll-like receptor 4) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe TLR4 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe 115.49 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR4 (toll-like receptor 4) Gene expression showed a significant (p<0.01) increase in the expression of frontal lobe TLR4 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Frontal Lobe 148.44 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR4 (toll-like receptor 4) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe TLR4 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe 46.0 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR4 (toll-like receptor 4) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe TLR4 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe 114.73 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR4 (toll-like receptor 4) Gene expression showed a significant (p<0.01) increase in the expression of frontal lobe TLR4 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Frontal Lobe 83.71 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR4 (toll-like receptor 4) Gene expression showed a significant (p<0.01) increase in the expression of hippocampus TLR4 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Hippocampus 65.24 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR4 (toll-like receptor 4) Gene expression showed a significant (p<0.01) increase in the expression of hippocampus TLR4 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Hippocampus 69.38 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR4 (toll-like receptor 4) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe TLR4 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe 82.15 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR5 (toll-like receptor 5) Gene expression showed a significant (p<0.01) increase in the expression of hippocampus TLR5 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Hippocampus 96.4 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR5 (toll-like receptor 5) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe TLR5 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe 69.17 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR5 (toll-like receptor 5) Gene expression showed a significant (p<0.01) increase in the expression of frontal lobe TLR5 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Frontal Lobe 48.66 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR7 (toll-like receptor 7) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe TLR7 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe 38.78 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR7 (toll-like receptor 7) Gene expression showed a significant (p<0.01) increase in the expression of hippocampus TLR7 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Hippocampus 94.74 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR7 (toll-like receptor 7) Gene expression showed a significant (p<0.01) increase in the expression of hippocampus TLR7 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Hippocampus 56.5 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TLR8 (toll-like receptor 8) Gene expression showed a significant (p<0.01) increase in the expression of hippocampus TLR8 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Hippocampus 39.68 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
Tm2d2 (TM2 domain containing 2)   Male and Female 2 26 Lung -2.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
TM7SF2 (transmembrane 7 superfamily member 2) Using a linear mixed model, differential expression with age was identified in TM7SF2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMBIM6 (transmembrane BAX inhibitor motif containing 6) Using a linear mixed model, differential expression with age was identified in TMBIM6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMED3 (transmembrane emp24 protein transport domain containing 3) Using a linear mixed model, differential expression with age was identified in TMED3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Tmed7 (transmembrane emp24 protein transport domain containing 7)   Male and Female 8 24 Muscle 5.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
Tmem100 (transmembrane protein 100)   Male and Female 8 24 Muscle 13.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
TMEM119 (transmembrane protein 119) Using a linear mixed model, differential expression with age was identified in TMEM119 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM125 (transmembrane protein 125) Using a linear mixed model, differential expression with age was identified in TMEM125 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM135 (transmembrane protein 135) Gene expression showed a significant (p<E-3) decrease in the expression of TMEM135 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -67.53 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
TMEM141 (transmembrane protein 141) Using a linear mixed model, differential expression with age was identified in TMEM141 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Tmem158 (transmembrane protein 158)   Male and Female 3 23 Hematological System 16.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
TMEM163 (transmembrane protein 163) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypomethylation of TMEM163 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
TMEM164 (transmembrane protein 164) Using a linear mixed model, differential expression with age was identified in TMEM164 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM167B (transmembrane protein 167B)   Male and Female 20 75 Skeletal Muscle 4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
TMEM178A (transmembrane protein 178A) Using a linear mixed model, differential expression with age was identified in TMEM178A in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM178A (transmembrane protein 178A) Using a linear mixed model, differential expression with age was identified in TMEM178A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM189 (transmembrane protein 189) Using a linear mixed model, differential expression with age was identified in TMEM189 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM19 (transmembrane protein 19)   Male and Female 20 75 Skeletal Muscle -2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
TMEM194A (transmembrane protein 194A) Using a linear mixed model, differential expression with age was identified in TMEM194A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM208 (transmembrane protein 208) Using a linear mixed model, differential expression with age was identified in TMEM208 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM219 (transmembrane protein 219) Using a linear mixed model, differential expression with age was identified in TMEM219 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM249 (transmembrane protein 249) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypermethylation of TMEM249 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
TMEM254 (transmembrane protein 254) Using a linear mixed model, differential expression with age was identified in TMEM254 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM258 (transmembrane protein 258) Using a linear mixed model, differential expression with age was identified in TMEM258 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM31 (transmembrane protein 31) Using a linear mixed model, differential expression with age was identified in TMEM31 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM33 (transmembrane protein 33) Gene expression showed a significant (p<E-3) decrease in the expression of TMEM33 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -63.9 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
TMEM50B (transmembrane protein 50B) Using a linear mixed model, differential expression with age was identified in TMEM50B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM56 (transmembrane protein 56) Using a linear mixed model, differential expression with age was identified in TMEM56 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM59L (transmembrane protein 59-like)   Male and Female 20 75 Skeletal Muscle -8.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
TMEM71 (transmembrane protein 71) Using a linear mixed model, differential expression with age was identified in TMEM71 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM74B (transmembrane protein 74B) Using a linear mixed model, differential expression with age was identified in TMEM74B in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM91 (transmembrane protein 91) Using a linear mixed model, differential expression with age was identified in TMEM91 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM97 (transmembrane protein 97) Using a linear mixed model, differential expression with age was identified in TMEM97 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM98 (transmembrane protein 98) Using a linear mixed model, differential expression with age was identified in TMEM98 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMEM99 (transmembrane protein 99) Using a linear mixed model, differential expression with age was identified in TMEM99 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMOD1 (tropomodulin 1) Using a linear mixed model, differential expression with age was identified in TMOD1 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TMOD3 (tropomodulin 3 (ubiquitous)) Gene expression showed a significant (p<E-3) decrease in the expression of TMOD3 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -35.9 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
TMUB2 (transmembrane and ubiquitin-like domain containing 2) Using a linear mixed model, differential expression with age was identified in TMUB2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Tmx1 (thioredoxin-related transmembrane protein 1)   Male and Female 8 24 Muscle 4.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
TMX3 (thioredoxin-related transmembrane protein 3) Using a linear mixed model, differential expression with age was identified in TMX3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TNF (tumor necrosis factor) An age-related demethylation of CpG motifs in the TNF promoter was observed in human peripheral blood leucocytes and macrophages. Male and Female -1 -1 Macrophage, Leukocyte     2959: Gowers et al. (2011) “Age-related loss of CpG methylation in the tumour necrosis factor promoter.” Cytokine 56(3):792-797 (22004920)
TNFAIP2 (tumor necrosis factor, alpha-induced protein 2) Using a linear mixed model, differential expression with age was identified in TNFAIP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Tnfaip2 (tumor necrosis factor, alpha-induced protein 2)   Male and Female 3 23 Hematological System 14.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
Tnfrsf13c (tumor necrosis factor receptor superfamily, member 13c)   Male and Female 3 23 Hematological System -22.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
TNFRSF17 (tumor necrosis factor receptor superfamily, member 17) Comparison of DNA methylation showed a significantly decreased methylation level of TNFRSF17 in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis -17.6 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
TNFRSF17 (tumor necrosis factor receptor superfamily, member 17) Comparison of DNA methylation showed a significantly increased methylation level of TNFRSF17 in bone marrow mesenchymal stem cells obtained from elderly donors (aged 53-85 years old) compared to cells from younger donors (aged 21-50 years old) Male and Female 21 85 Mesenchymal Stem Cell 18.8 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
TNFRSF19 (tumor necrosis factor receptor superfamily, member 19) Using a linear mixed model, differential expression with age was identified in TNFRSF19 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TNFRSF21 (tumor necrosis factor receptor superfamily, member 21) Using a linear mixed model, differential expression with age was identified in TNFRSF21 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TNFRSF21 (tumor necrosis factor receptor superfamily, member 21)   Male and Female 26 106 Brain -18.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
TNFRSF25 (tumor necrosis factor receptor superfamily, member 25) Using a linear mixed model, differential expression with age was identified in TNFRSF25 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TNFSF13B (tumor necrosis factor (ligand) superfamily, member 13b) Using a linear mixed model, differential expression with age was identified in TNFSF13B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TNK2 (tyrosine kinase, non-receptor, 2) Using a linear mixed model, differential expression with age was identified in TNK2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TNN (tenascin N) Using a linear mixed model, differential expression with age was identified in TNN in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TNNI2 (troponin I type 2 (skeletal, fast)) Using a linear mixed model, differential expression with age was identified in TNNI2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TNNT2 (troponin T type 2 (cardiac)) Using a linear mixed model, differential expression with age was identified in TNNT2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TNPO2 (transportin 2) Using a linear mixed model, differential expression with age was identified in TNPO2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TOLLIP (toll interacting protein) Gene expression showed a significant (p<0.01) decrease in the expression of frontal lobe TOLLIP from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Frontal Lobe -36.33 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TOLLIP (toll interacting protein) Gene expression showed a significant (p<0.01) decrease in the expression of parietal lobe TOLLIP from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe -53.57 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TOLLIP (toll interacting protein) Gene expression showed a significant (p<0.01) decrease in the expression of frontal lobe TOLLIP from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Frontal Lobe -59.51 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TOLLIP (toll interacting protein) Gene expression showed a significant (p<0.01) decrease in the expression of parietal lobe TOLLIP from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe -61.54 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TOLLIP (toll interacting protein) Gene expression showed a significant (p<0.01) decrease in the expression of frontal lobe TOLLIP from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Frontal Lobe -57.78 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TOLLIP (toll interacting protein) Gene expression showed a significant (p<0.01) decrease in the expression of parietal lobe TOLLIP from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe -33.42 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TP53AIP1 (tumor protein p53 regulated apoptosis inducing protein 1) Using a linear mixed model, differential expression with age was identified in TP53AIP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TPBG (trophoblast glycoprotein)   Male and Female 26 106 Brain -13.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
TPD52 (tumor protein D52) Using a linear mixed model, differential expression with age was identified in TPD52 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Tpd52l1 (tumor protein D52-like 1)   Male and Female 2 15 Hippocampus 2.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
TPM2 (tropomyosin 2 (beta)) Using a linear mixed model, differential expression with age was identified in TPM2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TPP1 (tripeptidyl peptidase I) Using a linear mixed model, differential expression with age was identified in TPP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TPPP (tubulin polymerization promoting protein)   Male and Female 26 106 Brain -21.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
TPPP3 (tubulin polymerization-promoting protein family member 3) Using a linear mixed model, differential expression with age was identified in TPPP3 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TPPP3 (tubulin polymerization-promoting protein family member 3)   Male and Female 20 75 Skeletal Muscle 48.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
TPR (translocated promoter region, nuclear basket protein) Using a linear mixed model, differential expression with age was identified in TPR in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TPRG1 (tumor protein p63 regulated 1) Using a linear mixed model, differential expression with age was identified in TPRG1 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TRAF6 (TNF receptor-associated factor 6, E3 ubiquitin protein ligase) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of TRAF6 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
TRAK1 (trafficking protein, kinesin binding 1) Using a linear mixed model, differential expression with age was identified in TRAK1 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TRAK1 (trafficking protein, kinesin binding 1) Using a linear mixed model, differential expression with age was identified in TRAK1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TRAPPC1 (trafficking protein particle complex 1)   Male and Female 20 75 Skeletal Muscle -2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
TRAPPC5 (trafficking protein particle complex 5) Using a linear mixed model, differential expression with age was identified in TRAPPC5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Trf (transferrin)   Male and Female 8 24 Muscle 11.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
TRHDE (thyrotropin-releasing hormone degrading enzyme) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of TRHDE and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
TRIM15 (tripartite motif-containing 15) Using a linear mixed model, differential expression with age was identified in TRIM15 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TRIM15 (tripartite motif-containing 15)   Male and Female 22 73 Skeletal Muscle 18.0 <0.001 2823: Welle et al. (2002) “Computational method for reducing variance with Affymetrix microarrays.” BMC Bioinformatics 3:23 (12204100)
TRIM27 (tripartite motif-containing 27)   Male and Female 26 106 Brain -5.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
TRIM39 (tripartite motif containing 39) Using a linear mixed model, differential expression with age was identified in TRIM39 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Trim43a (tripartite motif-containing 43A)   Male and Female 6 22 Liver -5.0 <0.001 1334: Papaconstantinou et al. (2005) “Hepatic gene and protein expression of primary components of the IGF-I axis in long lived Snell dwarf mice.” Mech. Ageing Dev. 126(6-7):692-704 (15888324)|2981: NCBI GEO Dataset (2005) “Age effect on livers of long-lived Snell dwarf mutants” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2019)
Trim46 (tripartite motif-containing 46)   Male and Female 3 23 Hematological System 19.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
TRIM52 (tripartite motif containing 52) Using a linear mixed model, differential expression with age was identified in TRIM52 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TRIM55 (tripartite motif containing 55) Using a linear mixed model, differential expression with age was identified in TRIM55 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TRIM8 (tripartite motif containing 8) Using a linear mixed model, differential expression with age was identified in TRIM8 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TRIOBP (TRIO and F-actin binding protein) Using a linear mixed model, differential expression with age was identified in TRIOBP in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TRIOBP (TRIO and F-actin binding protein) Gene expression showed a significant (p<E-3) increase in the expression of TRIOBP in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary 73.0 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
TRIP12 (thyroid hormone receptor interactor 12)   Male and Female 20 75 Skeletal Muscle 2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
TRIT1 (tRNA isopentenyltransferase 1) Using a linear mixed model, differential expression with age was identified in TRIT1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TRMT112 (tRNA methyltransferase 11-2 homolog (S. cerevisiae))   Male and Female 20 75 Skeletal Muscle 4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
Trmt5 (TRM5 tRNA methyltransferase 5 homolog (S. cerevisiae))   Male and Female 2 26 Lung 8.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
TRMT5 (TRM5 tRNA methyltransferase 5 homolog (S. cerevisiae))   Male and Female 20 75 Skeletal Muscle 2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
Trmt61a (tRNA methyltransferase 61 homolog A (S. cerevisiae))   Male and Female 5 22 Brain 6.0 <0.001 2765: Godbout et al. (2005) “Exaggerated neuroinflammation and sickness behavior in aged mice following activation of the peripheral innate immune system.” FASEB J. 19(10):1329-1331 (15919760)|2833: NCBI GEO Dataset (2005) “Age effect on lipopolysaccharide-induced neuroinflammation and sickness behavior” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS1311)
TRPC1 (transient receptor potential cation channel, subfamily C, member 1) Using a linear mixed model, differential expression with age was identified in TRPC1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TRPM4 (transient receptor potential cation channel, subfamily M, member 4) Using a linear mixed model, differential expression with age was identified in TRPM4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TRPS1 (trichorhinophalangeal syndrome I) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of TRPS1 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
Trpt1 (tRNA phosphotransferase 1)   Male and Female 2 26 Lung 12.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
TRPV1 (transient receptor potential cation channel, subfamily V, member 1) Using a linear mixed model, differential expression with age was identified in TRPV1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TRPV2 (transient receptor potential cation channel, subfamily V, member 2) Using a linear mixed model, differential expression with age was identified in TRPV2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TSC1 (tuberous sclerosis 1) Using a linear mixed model, differential expression with age was identified in TSC1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TSHZ1 (teashirt zinc finger homeobox 1) Gene expression showed a significant (p<E-3) increase in the expression of TSHZ1 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary 57.0 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
TSHZ2 (teashirt zinc finger homeobox 2) Using a linear mixed model, differential expression with age was identified in TSHZ2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TSKU (tsukushi, small leucine rich proteoglycan) Using a linear mixed model, differential expression with age was identified in TSKU in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TSKU (tsukushi, small leucine rich proteoglycan) Using a linear mixed model, differential expression with age was identified in TSKU in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TSNAX (translin-associated factor X)   Male and Female 20 75 Skeletal Muscle 4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
TSPAN31 (tetraspanin 31) Using a linear mixed model, differential expression with age was identified in TSPAN31 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TSPAN6 (tetraspanin 6) Using a linear mixed model, differential expression with age was identified in TSPAN6 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TSPAN8 (tetraspanin 8) Comparison of DNA methylation showed a significantly decreased methylation level of TSPAN8 in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis -17.9 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
TSPAN8 (tetraspanin 8) Comparison of DNA methylation showed a significantly increased methylation level of TSPAN8 in bone marrow mesenchymal stem cells obtained from elderly donors (aged 53-85 years old) compared to cells from younger donors (aged 21-50 years old) Male and Female 21 85 Mesenchymal Stem Cell 36.4 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
TSPAN9 (tetraspanin 9) Using a linear mixed model, differential expression with age was identified in TSPAN9 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TSPYL2 (TSPY-like 2) Using a linear mixed model, differential expression with age was identified in TSPYL2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TSPYL2 (TSPY-like 2)   Male and Female 26 106 Brain -14.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
TSPYL5 (TSPY-like 5) Gene expression showed a significant (p<E-3) decrease in the expression of TSPYL5 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -45.36 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
TST (thiosulfate sulfurtransferase (rhodanese)) Using a linear mixed model, differential expression with age was identified in TST in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TST (thiosulfate sulfurtransferase (rhodanese))   Male and Female 20 75 Skeletal Muscle 5.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
TTC13 (tetratricopeptide repeat domain 13) Using a linear mixed model, differential expression with age was identified in TTC13 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Ttc18 (tetratricopeptide repeat domain 18)   Male and Female 2 26 Lung 9.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
TTC31 (tetratricopeptide repeat domain 31) Using a linear mixed model, differential expression with age was identified in TTC31 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TTC32 (tetratricopeptide repeat domain 32) Using a linear mixed model, differential expression with age was identified in TTC32 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TTC39B (tetratricopeptide repeat domain 39B) Using a linear mixed model, differential expression with age was identified in TTC39B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TTLL3 (tubulin tyrosine ligase-like family, member 3) Using a linear mixed model, differential expression with age was identified in TTLL3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TTYH3 (tweety family member 3) Using a linear mixed model, differential expression with age was identified in TTYH3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Tubg1 (tubulin, gamma 1)   Male and Female 2 15 Hippocampus -4.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
TUBGCP6 (tubulin, gamma complex associated protein 6) Using a linear mixed model, differential expression with age was identified in TUBGCP6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TUFM (Tu translation elongation factor, mitochondrial) Using a linear mixed model, differential expression with age was identified in TUFM in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TUFT1 (tuftelin 1) Using a linear mixed model, differential expression with age was identified in TUFT1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TWF2 (twinfilin actin-binding protein 2) Using a linear mixed model, differential expression with age was identified in TWF2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TWIST1 (twist family bHLH transcription factor 1) Using a linear mixed model, differential expression with age was identified in TWIST1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TXNDC5 (thioredoxin domain containing 5 (endoplasmic reticulum)) Using a linear mixed model, differential expression with age was identified in TXNDC5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TXNIP (thioredoxin interacting protein) Using a linear mixed model, differential expression with age was identified in TXNIP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TXNIP (thioredoxin interacting protein) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe TXNIP from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe 143.11 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TXNIP (thioredoxin interacting protein) Gene expression showed a significant (p<0.01) increase in the expression of frontal lobe TXNIP from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Frontal Lobe 250.19 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TXNIP (thioredoxin interacting protein) Gene expression showed a significant (p<0.01) increase in the expression of frontal lobe TXNIP from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Frontal Lobe 277.8 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TXNIP (thioredoxin interacting protein) Gene expression showed a significant (p<0.01) increase in the expression of temporal lobe TXNIP from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Temporal Lobe 146.62 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TXNIP (thioredoxin interacting protein) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe TXNIP from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Parietal Lobe 124.83 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TXNIP (thioredoxin interacting protein) Gene expression showed a significant (p<0.01) increase in the expression of temporal lobe TXNIP from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Temporal Lobe 130.7 None 2984: Cribbs et al. (2012) “Extensive innate immune gene activation accompanies brain aging, increasing vulnerability to cognitive decline and neurodegeneration: a microarray study.” J Neuroinflammation 9:179 (22824372)
TXNL4A (thioredoxin-like 4A)   Male and Female 20 75 Skeletal Muscle -2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
TYROBP (TYRO protein tyrosine kinase binding protein) Using a linear mixed model, differential expression with age was identified in TYROBP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
TYRP1 (tyrosinase-related protein 1)   Male and Female 27 92 Kidney -21.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
TYSND1 (trypsin domain containing 1) Using a linear mixed model, differential expression with age was identified in TYSND1 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
U2AF1 (U2 small nuclear RNA auxiliary factor 1)   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
UBE2D2 (ubiquitin-conjugating enzyme E2D 2) Gene expression showed a significant (p<E-3) decrease in the expression of UBE2D2 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -48.19 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
UBE2D4 (ubiquitin-conjugating enzyme E2D 4 (putative)) Using a linear mixed model, differential expression with age was identified in UBE2D4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UBE2E2 (ubiquitin-conjugating enzyme E2E 2 (UBC4/5 homolog, yeast)) Using a linear mixed model, differential expression with age was identified in UBE2E2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UBE2E2 (ubiquitin-conjugating enzyme E2E 2 (UBC4/5 homolog, yeast))   Male and Female 20 75 Skeletal Muscle 5.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
UBE2E3 (ubiquitin-conjugating enzyme E2E 3) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of UBE2E3 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
Ube2g1 (ubiquitin-conjugating enzyme E2G 1 (UBC7 homolog, C. elegans))   Male and Female 5 25 Skeletal Muscle -2.0 <0.001 2648: NCBI GEO Dataset (2006) “Caloric restriction effect on aged skeletal muscle” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2612)|2835: Edwards et al. (2007) “Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program.” BMC Genomics 8:80 (17381838)
Ube2l3 (ubiquitin-conjugating enzyme E2L 3)   Male and Female 8 24 Muscle -2.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
UBE4B (ubiquitination factor E4B) Gene expression showed a significant (p<E-3) decrease in the expression of UBE4B in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -43.82 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
UBIAD1 (UbiA prenyltransferase domain containing 1) Using a linear mixed model, differential expression with age was identified in UBIAD1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UBL7 (ubiquitin-like 7) Using a linear mixed model, differential expression with age was identified in UBL7 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Ubqln4 (ubiquilin 4)   Male and Female 2 26 Lung -2.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
UBR5 (ubiquitin protein ligase E3 component n-recognin 5) Using a linear mixed model, differential expression with age was identified in UBR5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UBTF (upstream binding transcription factor, RNA polymerase I) Using a linear mixed model, differential expression with age was identified in UBTF in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UCKL1 (uridine-cytidine kinase 1-like 1) Using a linear mixed model, differential expression with age was identified in UCKL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UCKL1 (uridine-cytidine kinase 1-like 1) Gene expression showed a significant (p<E-3) increase in the expression of UCKL1 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary 86.0 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
UCN2 (urocortin 2) Using a linear mixed model, differential expression with age was identified in UCN2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UCP2 (uncoupling protein 2 (mitochondrial, proton carrier)) Using a linear mixed model, differential expression with age was identified in UCP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UCRC (ubiquinol-cytochrome c reductase complex (7.2 kD)) Using a linear mixed model, differential expression with age was identified in UQCR10 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UCRC (ubiquinol-cytochrome c reductase complex (7.2 kD))   Male and Female 20 75 Skeletal Muscle -2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
UEVLD (UEV and lactate/malate dehyrogenase domains) Using a linear mixed model, differential expression with age was identified in UEVLD in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UGT2B17 (UDP glucuronosyltransferase 2 family, polypeptide B17) Using a linear mixed model, differential expression with age was identified in UGT2B17 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UIMC1 (ubiquitin interaction motif containing 1) Using a linear mixed model, differential expression with age was identified in UIMC1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ULK3 (unc-51 like kinase 3) Using a linear mixed model, differential expression with age was identified in ULK3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UNC5B (unc-5 homolog B (C. elegans)) Using a linear mixed model, differential expression with age was identified in UNC5B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UPB1 (ureidopropionase, beta) Using a linear mixed model, differential expression with age was identified in UPB1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UPF2 (UPF2 regulator of nonsense transcripts homolog (yeast)) Using a linear mixed model, differential expression with age was identified in UPF2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UPF3A (UPF3 regulator of nonsense transcripts homolog A (yeast)) Using a linear mixed model, differential expression with age was identified in UPF3A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UPF3B (UPF3 regulator of nonsense transcripts homolog B (yeast)) Using a linear mixed model, differential expression with age was identified in UPF3B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UQCRC2 (ubiquinol-cytochrome c reductase core protein II)   Male and Female 20 75 Skeletal Muscle -3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
UQCRFS1 (ubiquinol-cytochrome c reductase, Rieske iron-sulfur polypeptide 1)   Male and Female 22 73 Skeletal Muscle -4.0 <0.001 2823: Welle et al. (2002) “Computational method for reducing variance with Affymetrix microarrays.” BMC Bioinformatics 3:23 (12204100)
UQCRH (ubiquinol-cytochrome c reductase hinge protein)   Male and Female 20 75 Skeletal Muscle -3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
UQCRH (ubiquinol-cytochrome c reductase hinge protein)   Male and Female 22 73 Skeletal Muscle -4.0 <0.001 2823: Welle et al. (2002) “Computational method for reducing variance with Affymetrix microarrays.” BMC Bioinformatics 3:23 (12204100)
UQCRQ (ubiquinol-cytochrome c reductase, complex III subunit VII, 9.5kDa) Using a linear mixed model, differential expression with age was identified in UQCRQ in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
USP24 (ubiquitin specific peptidase 24) Using a linear mixed model, differential expression with age was identified in USP24 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Usp37 (ubiquitin specific peptidase 37)   Male and Female 5 22 Brain 7.0 <0.001 2765: Godbout et al. (2005) “Exaggerated neuroinflammation and sickness behavior in aged mice following activation of the peripheral innate immune system.” FASEB J. 19(10):1329-1331 (15919760)|2833: NCBI GEO Dataset (2005) “Age effect on lipopolysaccharide-induced neuroinflammation and sickness behavior” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS1311)
USP42 (ubiquitin specific peptidase 42) Gene expression showed a significant (p<E-3) increase in the expression of USP42 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary 60.0 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
USP6 (ubiquitin specific peptidase 6 (Tre-2 oncogene))   Male and Female 20 75 Skeletal Muscle 5.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
USPL1 (ubiquitin specific peptidase like 1) Using a linear mixed model, differential expression with age was identified in USPL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
UVSSA (UV-stimulated scaffold protein A) Using a linear mixed model, differential expression with age was identified in UVSSA in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VAMP2 (vesicle-associated membrane protein 2 (synaptobrevin 2))   Male and Female 26 106 Brain -4.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
VAMP3 (vesicle-associated membrane protein 3 (cellubrevin))   Male and Female 26 106 Brain 7.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
VAMP4 (vesicle-associated membrane protein 4) Using a linear mixed model, differential expression with age was identified in VAMP4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VANGL2 (VANGL planar cell polarity protein 2) Using a linear mixed model, differential expression with age was identified in VANGL2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VASN (vasorin) Using a linear mixed model, differential expression with age was identified in VASN in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Vasn (vasorin)   Male and Female 3 23 Hematological System -10.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
VAT1 (vesicle amine transport 1) Using a linear mixed model, differential expression with age was identified in VAT1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VAV3 (vav 3 guanine nucleotide exchange factor) Using a linear mixed model, differential expression with age was identified in VAV3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VCAM1 (vascular cell adhesion molecule 1) Using a linear mixed model, differential expression with age was identified in VCAM1 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VCAN (versican)   Male and Female 26 106 Brain 20.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
VDAC1 (voltage-dependent anion channel 1)   Male and Female 26 106 Brain -10.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
VEGFB (vascular endothelial growth factor B)   Male and Female 20 75 Skeletal Muscle -6.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
VEGFC (vascular endothelial growth factor C) Using a linear mixed model, differential expression with age was identified in VEGFC in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VEZT (vezatin, adherens junctions transmembrane protein) Using a linear mixed model, differential expression with age was identified in VEZT in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VIM (vimentin)   Male and Female 26 106 Brain 11.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
VIMP (VCP-interacting membrane protein) Using a linear mixed model, differential expression with age was identified in VIMP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VIPR1 (vasoactive intestinal peptide receptor 1) Using a linear mixed model, differential expression with age was identified in VIPR1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VKORC1L1 (vitamin K epoxide reductase complex, subunit 1-like 1) Using a linear mixed model, differential expression with age was identified in VKORC1L1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VLDLR (very low density lipoprotein receptor)   Male and Female 20 75 Skeletal Muscle -4.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
VMP1 (vacuole membrane protein 1) Using a linear mixed model, differential expression with age was identified in VMP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VPS13A (vacuolar protein sorting 13 homolog A (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in VPS13A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VPS13C (vacuolar protein sorting 13 homolog C (S. cerevisiae))   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
VPS13C (vacuolar protein sorting 13 homolog C (S. cerevisiae)) Gene expression showed a significant (p<E-3) decrease in the expression of VPS13C in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -58.68 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
VPS33B (vacuolar protein sorting 33 homolog B (yeast)) Using a linear mixed model, differential expression with age was identified in VPS33B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VPS45 (vacuolar protein sorting 45 homolog (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in VPS45 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VSIG4 (V-set and immunoglobulin domain containing 4) Using a linear mixed model, differential expression with age was identified in VSIG4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
VSNL1 (visinin-like 1)   Male and Female 26 106 Brain -6.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
VTI1B (vesicle transport through interaction with t-SNAREs homolog 1B (yeast))   Male and Female 20 75 Skeletal Muscle -3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
Vtn (vitronectin)   Male and Female 5 30 Anatomical System 4.0 <0.001 2926: Lee et al. (2000) “Gene-expression profile of the ageing brain in mice.” Nat. Genet. 25(3):294-297 (10888876)
VWA5A (von Willebrand factor A domain containing 5A) Gene expression showed a significant (p<E-3) decrease in the expression of VWA5A in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -55.95 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
VWF (von Willebrand factor) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of VWF and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
Wdfy4 (WD repeat and FYVE domain containing 4)   Male and Female 3 23 Hematological System -10.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
WDR12 (WD repeat domain 12)   Male and Female 20 75 Skeletal Muscle -3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
Wdr31 (WD repeat domain 31)   Male and Female 2 26 Lung 11.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
WDR33 (WD repeat domain 33) Using a linear mixed model, differential expression with age was identified in WDR33 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
WDR37 (WD repeat domain 37) Using a linear mixed model, differential expression with age was identified in WDR37 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Wdr4 (WD repeat domain 4)   Male and Female 8 24 Muscle -5.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
WDR5 (WD repeat domain 5) Using a linear mixed model, differential expression with age was identified in WDR5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
WDR59 (WD repeat domain 59) Using a linear mixed model, differential expression with age was identified in WDR59 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
WDR60 (WD repeat domain 60) Using a linear mixed model, differential expression with age was identified in WDR60 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
WDR75 (WD repeat domain 75) Using a linear mixed model, differential expression with age was identified in WDR75 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
WDR91 (WD repeat domain 91) Using a linear mixed model, differential expression with age was identified in WDR91 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Wisp1 (WNT1 inducible signaling pathway protein 1)   Male and Female 2 26 Lung -20.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
WISP2 (WNT1 inducible signaling pathway protein 2) Using a linear mixed model, differential expression with age was identified in WISP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
WISP2 (WNT1 inducible signaling pathway protein 2) Comparison of DNA methylation showed a significantly decreased methylation level of WISP2 in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis -17.7 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
WISP2 (WNT1 inducible signaling pathway protein 2) Comparison of DNA methylation showed a significantly decreased methylation level of WISP2 in bone marrow mesenchymal stem cells obtained from elderly donors (aged 53-85 years old) compared to cells from younger donors (aged 21-50 years old) Male and Female 21 85 Mesenchymal Stem Cell -23.5 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
Wnt10a (wingless related MMTV integration site 10a)   Male and Female 4 15 Cochlea 16.0 <0.001 2666: Someya et al. (2007) “Caloric restriction suppresses apoptotic cell death in the mammalian cochlea and leads to prevention of presbycusis.” Neurobiol. Aging 28(10):1613-1622 (16890326)
WNT10A (wingless-type MMTV integration site family, member 10A) Using a linear mixed model, differential expression with age was identified in WNT10A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
WNT3 (wingless-type MMTV integration site family, member 3) Using a linear mixed model, differential expression with age was identified in WNT3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
WNT3A (wingless-type MMTV integration site family, member 3A) Using a linear mixed model, differential expression with age was identified in WNT3A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Wnt4 (wingless-related MMTV integration site 4)   Male and Female 3 23 Hematological System 44.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
WNT4 (wingless-type MMTV integration site family, member 4) Using a linear mixed model, differential expression with age was identified in WNT4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Wnt5a (wingless-related MMTV integration site 5A)   Male and Female 3 23 Hematological System 34.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
WRN (Werner syndrome, RecQ helicase-like) In a study comparing young (22-37 years old), middle-aged (60-69 years old) and long-lived (90-100) individuals, it was shown that the expression of WRN mRNA steadily decreases with age. The level of WRN mRNA in the old was approximately half of the level found in the young. Notably, the mean levels of the WRN mRNA were similar in men and women. Male and Female 22 100 Blood, Immune System -52.0 None 2799: Polosak et al. (2011) “Aging is accompanied by a progressive decrease of expression of the WRN gene in human blood mononuclear cells.” J. Gerontol. A Biol. Sci. Med. Sci. 66(1):19-25 (20855428)
WSB2 (WD repeat and SOCS box-containing 2)   Male and Female 26 106 Brain -5.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
WWC2 (WW and C2 domain containing 2) Using a linear mixed model, differential expression with age was identified in WWC2 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
WWTR1 (WW domain containing transcription regulator 1)   Male and Female 26 106 Brain 24.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
XAF1 (XIAP associated factor 1) Using a linear mixed model, differential expression with age was identified in XAF1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Xiap (X-linked inhibitor of apoptosis)   Male and Female 5 25 Skeletal Muscle -13.0 <0.001 2648: NCBI GEO Dataset (2006) “Caloric restriction effect on aged skeletal muscle” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2612)|2835: Edwards et al. (2007) “Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program.” BMC Genomics 8:80 (17381838)
XIST (X inactive specific transcript (non-protein coding)) Using a linear mixed model, differential expression with age was identified in XIST in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
XPC (xeroderma pigmentosum, complementation group C) Using a linear mixed model, differential expression with age was identified in XPC in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
XPC (xeroderma pigmentosum, complementation group C)   Male and Female 22 73 Skeletal Muscle 6.0 <0.001 2823: Welle et al. (2002) “Computational method for reducing variance with Affymetrix microarrays.” BMC Bioinformatics 3:23 (12204100)
XPC (xeroderma pigmentosum, complementation group C)   Male and Female 20 75 Skeletal Muscle 7.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
XPNPEP2 (X-prolyl aminopeptidase (aminopeptidase P) 2, membrane-bound) Using a linear mixed model, differential expression with age was identified in XPNPEP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
XPO5 (exportin 5) Using a linear mixed model, differential expression with age was identified in XPO5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
XPO6 (exportin 6)   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
XYLT2 (xylosyltransferase II) Using a linear mixed model, differential expression with age was identified in XYLT2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
YEATS2 (YEATS domain containing 2) Using a linear mixed model, differential expression with age was identified in YEATS2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
YIF1B (Yip1 interacting factor homolog B (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in YIF1B in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
YIF1B (Yip1 interacting factor homolog B (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in YIF1B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
YTHDC1 (YTH domain containing 1) Using a linear mixed model, differential expression with age was identified in YTHDC1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
YWHAZ (tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta polypeptide)   Male and Female 26 106 Brain -10.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
ZBED1 (zinc finger, BED-type containing 1) Using a linear mixed model, differential expression with age was identified in ZBED1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZBED5 (zinc finger, BED-type containing 5) Using a linear mixed model, differential expression with age was identified in ZBED5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZBTB1 (zinc finger and BTB domain containing 1) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypermethylation of ZBTB1 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
ZBTB10 (zinc finger and BTB domain containing 10) Gene expression showed a significant (p<E-3) decrease in the expression of ZBTB10 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -59.35 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
ZBTB16 (zinc finger and BTB domain containing 16) Using a linear mixed model, differential expression with age was identified in ZBTB16 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Zbtb16 (zinc finger and BTB domain containing 16)   Male and Female 2 15 Hippocampus 2.0 <0.001 2706: Verbitsky et al. (2004) “Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.” Learn. Mem. 11(3):253-260 (15169854)
ZBTB18 (zinc finger and BTB domain containing 18) Gene expression showed a significant (p<E-3) decrease in the expression of ZNF238 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -39.02 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
ZBTB25 (zinc finger and BTB domain containing 25) Using a linear mixed model, differential expression with age was identified in ZBTB25 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZBTB4 (zinc finger and BTB domain containing 4)   Male and Female 20 75 Skeletal Muscle 2.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
Zc3hav1 (zinc finger CCCH type, antiviral 1)   Male and Female 3 23 Hematological System -5.0 <0.001 2882: Rossi et al. (2005) “Cell intrinsic alterations underlie hematopoietic stem cell aging.” Proc. Natl. Acad. Sci. U.S.A. 102(26):9194-9199 (15967997)
Zcchc18 (zinc finger, CCHC domain containing 18)   Male and Female 2 26 Lung 14.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
ZCCHC24 (zinc finger, CCHC domain containing 24)   Male and Female 26 106 Brain 15.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
ZDHHC16 (zinc finger, DHHC-type containing 16) Using a linear mixed model, differential expression with age was identified in ZDHHC16 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZDHHC24 (zinc finger, DHHC-type containing 24) Using a linear mixed model, differential expression with age was identified in ZDHHC24 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZDHHC6 (zinc finger, DHHC-type containing 6) Using a linear mixed model, differential expression with age was identified in ZDHHC6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZDHHC8 (zinc finger, DHHC-type containing 8) Using a linear mixed model, differential expression with age was identified in ZDHHC8 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZEB2 (zinc finger E-box binding homeobox 2) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypomethylation of ZEB2 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
ZER1 (zer-1 homolog (C. elegans))   Male and Female 26 106 Brain -16.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
Zfhx3 (zinc finger homeobox 3)   Male and Female 2 26 Lung -4.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
Zfp251 (zinc finger protein 251)   Male and Female 2 26 Lung -4.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
ZFP3 (ZFP3 zinc finger protein) Gene expression showed a significant (p<E-3) increase in the expression of ZFP3 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary 51.0 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
ZFP36L1 (zinc finger protein 36, C3H type-like 1)   Male and Female 20 75 Skeletal Muscle 6.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
Zfp62 (zinc finger protein 62)   Male and Female 8 24 Muscle 6.0 <0.001 2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
Zfp64 (zinc finger protein 64)   Male and Female 5 22 Brain 5.0 <0.001 2765: Godbout et al. (2005) “Exaggerated neuroinflammation and sickness behavior in aged mice following activation of the peripheral innate immune system.” FASEB J. 19(10):1329-1331 (15919760)|2833: NCBI GEO Dataset (2005) “Age effect on lipopolysaccharide-induced neuroinflammation and sickness behavior” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS1311)
Zfp651 (zinc finger protein 651)   Male and Female 5 25 Skeletal Muscle 7.0 <0.001 2648: NCBI GEO Dataset (2006) “Caloric restriction effect on aged skeletal muscle” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2612)|2835: Edwards et al. (2007) “Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program.” BMC Genomics 8:80 (17381838)
Zfp68 (zinc finger protein 68)   Male and Female 5 22 Brain 5.0 <0.001 2765: Godbout et al. (2005) “Exaggerated neuroinflammation and sickness behavior in aged mice following activation of the peripheral innate immune system.” FASEB J. 19(10):1329-1331 (15919760)|2833: NCBI GEO Dataset (2005) “Age effect on lipopolysaccharide-induced neuroinflammation and sickness behavior” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS1311)
Zfp84 (zinc finger protein 84)   Male and Female 2 26 Lung -2.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
ZFR (zinc finger RNA binding protein) Gene expression showed a significant (p<E-3) increase in the expression of ZFR in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary 150.0 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
ZFYVE20 (zinc finger, FYVE domain containing 20) Using a linear mixed model, differential expression with age was identified in ZFYVE20 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZFYVE20 (zinc finger, FYVE domain containing 20)   Male and Female 20 75 Skeletal Muscle 3.0 <0.001 2828: Welle et al. (2004) “Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.” Exp. Gerontol. 39(3):369-377 (15036396)|2841: Welle et al. (2003) “Gene expression profile of aging in human muscle.” Physiol. Genomics 14(2):149-159 (12783983)
ZFYVE26 (zinc finger, FYVE domain containing 26) Using a linear mixed model, differential expression with age was identified in ZFYVE26 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZGPAT (zinc finger, CCCH-type with G patch domain) Using a linear mixed model, differential expression with age was identified in ZGPAT in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZHX2 (zinc fingers and homeoboxes 2)   Male and Female 26 106 Brain 20.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
ZIC1 (Zic family member 1) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypermethylation of ZIC1 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
ZMIZ2 (zinc finger, MIZ-type containing 2) Using a linear mixed model, differential expression with age was identified in ZMIZ2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZMIZ2 (zinc finger, MIZ-type containing 2)   Male and Female 26 106 Brain -17.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
Zmym1 (zinc finger, MYM domain containing 1)   Male and Female 2 26 Lung -10.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
ZMYM2 (zinc finger, MYM-type 2) Using a linear mixed model, differential expression with age was identified in ZMYM2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZMYND8 (zinc finger, MYND-type containing 8) Using a linear mixed model, differential expression with age was identified in ZMYND8 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZMYND8 (zinc finger, MYND-type containing 8) Comparison of DNA methylation showed a significantly increased methylation level of ZMYND8 in bone marrow mesenchymal stem cells obtained from elderly donors (aged 53-85 years old) compared to cells from younger donors (aged 21-50 years old) Male and Female 21 85 Mesenchymal Stem Cell 19.9 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
ZMYND8 (zinc finger, MYND-type containing 8) Comparison of DNA methylation showed a significantly increased methylation level of ZMYND8 in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis 19.5 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
ZNF175 (zinc finger protein 175) Using a linear mixed model, differential expression with age was identified in ZNF175 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF177 (zinc finger protein 177) Using a linear mixed model, differential expression with age was identified in ZNF177 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF195 (zinc finger protein 195) Using a linear mixed model, differential expression with age was identified in ZNF195 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF224 (zinc finger protein 224) Using a linear mixed model, differential expression with age was identified in ZNF224 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF248 (zinc finger protein 248) Using a linear mixed model, differential expression with age was identified in ZNF248 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF25 (zinc finger protein 25) Gene expression showed a significant (p<E-3) decrease in the expression of ZNF25 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -51.46 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
ZNF266 (zinc finger protein 266) Using a linear mixed model, differential expression with age was identified in ZNF266 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF273 (zinc finger protein 273) Using a linear mixed model, differential expression with age was identified in ZNF273 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF280A (zinc finger protein 280A)   Male and Female 26 106 Brain -10.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
ZNF295-AS1 (ZNF295 antisense RNA 1) Using a linear mixed model, differential expression with age was identified in ZNF295-AS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF311 (zinc finger protein 311) Using a linear mixed model, differential expression with age was identified in ZNF311 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF32 (zinc finger protein 32) Using a linear mixed model, differential expression with age was identified in ZNF32 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF331 (zinc finger protein 331) Using a linear mixed model, differential expression with age was identified in ZNF331 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF333 (zinc finger protein 333) Using a linear mixed model, differential expression with age was identified in ZNF333 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF33B (zinc finger protein 33B) Using a linear mixed model, differential expression with age was identified in ZNF33B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF385B (zinc finger protein 385B) Using a linear mixed model, differential expression with age was identified in ZNF385B in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF395 (zinc finger protein 395) Using a linear mixed model, differential expression with age was identified in ZNF395 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF439 (zinc finger protein 439) Using a linear mixed model, differential expression with age was identified in ZNF439 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF451 (zinc finger protein 451) Using a linear mixed model, differential expression with age was identified in ZNF451 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF471 (zinc finger protein 471) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 575 individuals within the age range of 0 to 78 years, showed a possitive correlation between hypermethylation of ZNF471 and age. Male and Female 0 78 Blood     3456: Weidner, CI et al. (2014) “Aging of blood can be tracked by DNA methylation changes at just three CpG sites.” Genome Biol. 15(2):R24 (24490752)
ZNF502 (zinc finger protein 502) Using a linear mixed model, differential expression with age was identified in ZNF502 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF507 (zinc finger protein 507)   Male and Female 26 106 Brain 43.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
ZNF514 (zinc finger protein 514) Using a linear mixed model, differential expression with age was identified in ZNF514 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF518A (zinc finger protein 518A) Using a linear mixed model, differential expression with age was identified in ZNF518A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF518B (zinc finger protein 518B) Using a linear mixed model, differential expression with age was identified in ZNF518B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF524 (zinc finger protein 524) Using a linear mixed model, differential expression with age was identified in ZNF524 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF529 (zinc finger protein 529) Using a linear mixed model, differential expression with age was identified in ZNF529 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF536 (zinc finger protein 536) Comparison of DNA methylation showed a significantly decreased methylation level of ZNF536 in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis -19.1 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
ZNF540 (zinc finger protein 540) Using a linear mixed model, differential expression with age was identified in ZNF540 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF549 (zinc finger protein 549) Comparison of DNA methylation showed a significantly increased methylation level of ZNF549 in bone marrow mesenchymal stem cells obtained from elderly donors (aged 53-85 years old) compared to cells from younger donors (aged 21-50 years old) Male and Female 21 85 Mesenchymal Stem Cell 19.3 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
ZNF549 (zinc finger protein 549) Comparison of DNA methylation showed a significantly increased methylation level of ZNF549 in dermal fibroblasts from elderly women (aged 60-73 years old) compared to cells from younger women (aged 6-23 years old) Female 6 73 Dermis 16.0 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
ZNF559 (zinc finger protein 559) Using a linear mixed model, differential expression with age was identified in ZNF559 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF581 (zinc finger protein 581) Using a linear mixed model, differential expression with age was identified in ZNF581 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF621 (zinc finger protein 621) Using a linear mixed model, differential expression with age was identified in ZNF621 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF662 (zinc finger protein 662) Using a linear mixed model, differential expression with age was identified in ZNF662 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF700 (zinc finger protein 700) Using a linear mixed model, differential expression with age was identified in ZNF700 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF75D (zinc finger protein 75D) Using a linear mixed model, differential expression with age was identified in ZNF75D in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF770 (zinc finger protein 770) Gene expression showed a significant (p<E-3) decrease in the expression of ZNF770 in oocytes donated from older women (aged 37-39 years – both inclusive) compared to oocytes from younger women (aged 25-35 years) Female -1 -1 Ovary -48.72 <0.001 2714: Grøndahl et al. (2010) “Gene expression profiles of single human mature oocytes in relation to age.” Hum. Reprod. 25(4):957-968 (20147335)
ZNF789 (zinc finger protein 789) Using a linear mixed model, differential expression with age was identified in ZNF789 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF81 (zinc finger protein 81) Using a linear mixed model, differential expression with age was identified in ZNF81 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF827 (zinc finger protein 827) Methylation analysis of CpG sites in DNA from blood cells, spanning samples from 718 Sweden subjects within the age range of 25 to 92 years, showed a possitive correlation between hypermethylation of ZNF827 and age. Male and Female 25 92 Blood     3455: McClay, JL et al. (2014) “A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects.” Hum. Mol. Genet. 23(5):1175-1185 (24135035)
ZNF83 (zinc finger protein 83) Using a linear mixed model, differential expression with age was identified in ZNF83 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZNF839 (zinc finger protein 839) Using a linear mixed model, differential expression with age was identified in ZNF839 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Znrd1 (zinc ribbon domain containing, 1)   Male and Female 2 26 Lung -2.0 <0.001 2785: Misra et al. (2007) “Global expression profiles from C57BL/6J and DBA/2J mouse lungs to determine aging-related genes.” Physiol. Genomics 31(3):429-440 (17726092)
ZP1 (zona pellucida glycoprotein 1 (sperm receptor)) Using a linear mixed model, differential expression with age was identified in ZP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZSCAN2 (zinc finger and SCAN domain containing 2) Using a linear mixed model, differential expression with age was identified in ZSCAN2 in the adipose tissue. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. Subcutaneous adipose tissue was dissected from the biopsy site. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch, and random effects as family relationship and zygosity. Female 39 85 Adipose Tissue     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZSWIM5 (zinc finger, SWIM-type containing 5) Using a linear mixed model, differential expression with age was identified in ZSWIM5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZSWIM8 (zinc finger, SWIM-type containing 8) Using a linear mixed model, differential expression with age was identified in ZSWIM8 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ZZEF1 (zinc finger, ZZ-type with EF-hand domain 1) Using a linear mixed model, differential expression with age was identified in ZZEF1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Zzz3 (zinc finger, ZZ domain containing 3)   Male and Female 5 25 Skeletal Muscle -12.0 <0.001 2648: NCBI GEO Dataset (2006) “Caloric restriction effect on aged skeletal muscle” (http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2612)|2835: Edwards et al. (2007) “Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program.” BMC Genomics 8:80 (17381838)

Reference: Digital Aging Atlas
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