Age induced gene changes – Homo Sapiens – Part 3

[raw]

Part 1
Part 2
Part 3
Part 4























































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































Gene Symbol (Name) Description Change gender Age change starts Age change ends Tissues Percentage change P value References
HOXC6 (homeobox C6) Using a linear mixed model, differential expression with age was identified in HOXC6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HOXC8 (homeobox C8) Using a linear mixed model, differential expression with age was identified in HOXC8 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HOXD12 (homeobox D12) Using a linear mixed model, differential expression with age was identified in HOXD12 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HPCAL1 (hippocalcin-like 1) Using a linear mixed model, differential expression with age was identified in HPCAL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HPN (hepsin)   Male and Female 22 73 Skeletal Muscle 4.0   2823: Welle et al. (2002) “Computational method for reducing variance with Affymetrix microarrays.” BMC Bioinformatics 3:23 (12204100)
HPS4 (Hermansky-Pudlak syndrome 4) Using a linear mixed model, differential expression with age was identified in HPS4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HS3ST2 (heparan sulfate (glucosamine) 3-O-sulfotransferase 2) Using a linear mixed model, differential expression with age was identified in HS3ST2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Hsbp1 (heat shock factor binding protein 1)   Male and Female 8 24 Muscle -2.0   2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
HSD11B1 (hydroxysteroid (11-beta) dehydrogenase 1) Using a linear mixed model, differential expression with age was identified in HSD11B1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HSD17B10 (hydroxysteroid (17-beta) dehydrogenase 10) Using a linear mixed model, differential expression with age was identified in HSD17B10 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HSD17B10 (hydroxysteroid (17-beta) dehydrogenase 10) Using a linear mixed model, differential expression with age was identified in HSD17B10 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HSD17B13 (hydroxysteroid (17-beta) dehydrogenase 13) Using a linear mixed model, differential expression with age was identified in HSD17B13 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HSD17B2 (hydroxysteroid (17-beta) dehydrogenase 2) Using a linear mixed model, differential expression with age was identified in HSD17B2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Hsd17b7 (hydroxysteroid (17-beta) dehydrogenase 7)   Male and Female 8 24 Muscle 4.0   2651: Beggs et al. (2004) “Alterations in the TGFbeta signaling pathway in myogenic progenitors with age.” Aging Cell 3(6):353-361 (15569352)
HSD3B1 (hydroxy-delta-5-steroid dehydrogenase, 3 beta- and steroid delta-isomerase 1) Using a linear mixed model, differential expression with age was identified in HSD3B1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HSD3B7 (hydroxy-delta-5-steroid dehydrogenase, 3 beta- and steroid delta-isomerase 7) Using a linear mixed model, differential expression with age was identified in HSD3B7 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HSD3B7 (hydroxy-delta-5-steroid dehydrogenase, 3 beta- and steroid delta-isomerase 7) 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 HSD3B7 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)
HSF1 (heat shock transcription factor 1)   Male and Female 20 75 Skeletal Muscle -5.0   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)
HSF4 (heat shock transcription factor 4) Using a linear mixed model, differential expression with age was identified in HSF4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Hsfy2 (heat shock transcription factor, Y linked 2)   Male and Female 5 22 Brain -81.0   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)
Hsp90aa1 (heat shock protein 90, alpha (cytosolic), class A member 1)   Male and Female 5 30 Anatomical System -1.0   2926: Lee et al. (2000) “Gene-expression profile of the ageing brain in mice.” Nat. Genet. 25(3):294-297 (10888876)
HSP90AB1 (heat shock protein 90kDa alpha (cytosolic), class B member 1)   Male and Female 26 106 Brain -5.0   2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
HSPA12A (heat shock 70kDa protein 12A) Using a linear mixed model, differential expression with age was identified in HSPA12A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HSPA1A (heat shock 70kDa protein 1A)   Male and Female 20 75 Skeletal Muscle 4.0   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)
HSPA2 (heat shock 70kDa protein 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 HSPA2 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)
HSPA8 (heat shock 70kDa protein 8)   Male and Female 26 106 Brain -7.0   2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
HSPBAP1 (HSPB (heat shock 27kDa) associated protein 1) Using a linear mixed model, differential expression with age was identified in HSPBAP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HTATSF1 (HIV-1 Tat specific factor 1) Using a linear mixed model, differential expression with age was identified in HTATSF1 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)
HTR2A (5-hydroxytryptamine (serotonin) receptor 2A, G protein-coupled) Using a linear mixed model, differential expression with age was identified in HTR2A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HTR7 (5-hydroxytryptamine (serotonin) receptor 7, adenylate cyclase-coupled) 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 HTR7 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)
HTRA1 (HtrA serine peptidase 1) Using a linear mixed model, differential expression with age was identified in HTRA1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Htra1 (HtrA serine peptidase 1)   Male and Female 2 15 Hippocampus 2.0   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)
HTRA1 (HtrA serine peptidase 1)   Male and Female 26 106 Brain 7.0   2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
HYAL1 (hyaluronoglucosaminidase 1) Using a linear mixed model, differential expression with age was identified in HYAL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
HYOU1 (hypoxia up-regulated 1) Using a linear mixed model, differential expression with age was identified in HYOU1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
hypothetical gene supported by BC015790; BC041634   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)
hypothetical LOC100126583   Male and Female 27 92 Kidney 43.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
hypothetical LOC144438   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)
hypothetical LOC202781   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)
hypothetical LOC440993   Male and Female 20 75 Skeletal Muscle 10.0 <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)
hypothetical protein DKFZp586I1420   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)
hypothetical protein LOC157860   Male and Female 20 75 Skeletal Muscle -15.0 <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)
hypothetical protein LOC284214   Male and Female 27 92 Kidney 53.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
hypothetical protein LOC552889   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)
IAH1 (isoamyl acetate-hydrolyzing esterase 1 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)
ICA1 (islet cell autoantigen 1, 69kDa) Using a linear mixed model, differential expression with age was identified in ICA1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ICAM2 (intercellular adhesion molecule 2) Using a linear mixed model, differential expression with age was identified in ICAM2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ICAM3 (intercellular adhesion molecule 3) Using a linear mixed model, differential expression with age was identified in ICAM3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ICMT (isoprenylcysteine carboxyl methyltransferase) Using a linear mixed model, differential expression with age was identified in ICMT in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Icmt (isoprenylcysteine carboxyl methyltransferase)   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)
IDS (iduronate 2-sulfatase) Using a linear mixed model, differential expression with age was identified in IDS in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IER3 (immediate early response 3) Using a linear mixed model, differential expression with age was identified in IER3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Ifi205 (interferon activated gene 205)   Male and Female 3 23 Hematological System -3.0 <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)
IFI35 (interferon-induced protein 35) 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 IFI35 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)
Ifi35 (interferon-induced protein 35)   Male and Female 8 24 Muscle -10.0 <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)
Igdcc3 (immunoglobulin superfamily, DCC subclass, member 3)   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)
IGF2BP1 (insulin-like growth factor 2 mRNA binding protein 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 IGF2BP1 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)
IGFBP4 (insulin-like growth factor binding protein 4) Using a linear mixed model, differential expression with age was identified in IGFBP4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IGFBP5 (insulin-like growth factor binding protein 5) Using a linear mixed model, differential expression with age was identified in IGFBP5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IGFBP6 (insulin-like growth factor binding protein 6) Using a linear mixed model, differential expression with age was identified in IGFBP6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IGFBP6 (insulin-like growth factor binding protein 6) Using a linear mixed model, differential expression with age was identified in IGFBP6 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)
IGFN1 (immunoglobulin-like and fibronectin type III domain containing 1)   Male and Female 20 75 Skeletal Muscle -15.0 <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)
IGJ (immunoglobulin J polypeptide, linker protein for immunoglobulin alpha and mu polypeptides)   Male and Female 27 92 Kidney 60.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
Igj (immunoglobulin joining chain)   Male and Female 5 22 Brain 51.0 <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)
Igj (immunoglobulin joining chain)   Male and Female 6 22 Liver 14.0 <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)
IGKV1-5 (immunoglobulin kappa variable 1-5)   Male and Female 27 92 Kidney 35.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
IGLV3-25 (immunoglobulin lambda variable 3-25)   Male and Female 27 92 Kidney 46.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
IGLV4-3 (immunoglobulin lambda variable 4-3)   Male and Female 27 92 Kidney 41.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
IGSF9 (immunoglobulin superfamily, member 9) Using a linear mixed model, differential expression with age was identified in IGSF9 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IKBKB (inhibitor of kappa light polypeptide gene enhancer in B-cells, kinase beta) Using a linear mixed model, differential expression with age was identified in IKBKB in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IL11RA (interleukin 11 receptor, alpha) Using a linear mixed model, differential expression with age was identified in IL11RA in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IL18 (interleukin 18 (interferon-gamma-inducing factor)) Gene expression showed a significant (p<0.01) increase in the expression of hippocampus IL18 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Hippocampus 68.88   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)
IL18 (interleukin 18 (interferon-gamma-inducing factor)) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe IL18 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 56.68   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)
Il18rap (interleukin 18 receptor accessory protein)   Male and Female 5 25 Skeletal Muscle -14.0 <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)
IL1B (interleukin 1, beta) Using a linear mixed model, differential expression with age was identified in IL1B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IL20RA (interleukin 20 receptor, alpha) Using a linear mixed model, differential expression with age was identified in IL20RA in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IL20RB (interleukin 20 receptor beta) Using a linear mixed model, differential expression with age was identified in IL20RB in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Il22ra2 (interleukin 22 receptor, alpha 2)   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)
IL32 (interleukin 32) Using a linear mixed model, differential expression with age was identified in IL32 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IL33 (interleukin 33)   Male and Female 26 106 Brain 47.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
IL34 (interleukin 34) Comparison of DNA methylation showed a significantly decreased methylation level of IL34 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 -27.7 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
IL34 (interleukin 34) Comparison of DNA methylation showed a significantly decreased methylation level of IL34 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)
ILF3 (interleukin enhancer binding factor 3, 90kDa) Using a linear mixed model, differential expression with age was identified in ILF3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IMPA2 (inositol(myo)-1(or 4)-monophosphatase 2) Using a linear mixed model, differential expression with age was identified in IMPA2 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)
Impdh2 (inosine 5′-phosphate dehydrogenase 2)   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)
Ing2 (inhibitor of growth 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)
Ing4 (inhibitor of growth family, member 4)   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)
Inha (inhibin alpha)   Male and Female 5 30 Anatomical System -5.0 <0.001 2926: Lee et al. (2000) “Gene-expression profile of the ageing brain in mice.” Nat. Genet. 25(3):294-297 (10888876)
INHBB (inhibin, beta B)   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)
Inmt (indolethylamine N-methyltransferase)   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)
INO80D (INO80 complex subunit D) Using a linear mixed model, differential expression with age was identified in INO80D in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
INSIG1 (insulin induced gene 1) Using a linear mixed model, differential expression with age was identified in INSIG1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
INSR (insulin receptor)   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)
INTU (inturned planar cell polarity protein) Using a linear mixed model, differential expression with age was identified in INTU in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IP6K3 (inositol hexakisphosphate kinase 3)   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)
IPO8 (importin 8) 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 IPO8 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)
IQCB1 (IQ motif containing B1) Using a linear mixed model, differential expression with age was identified in IQCB1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IQCD (IQ motif containing D) Gene expression showed a significant (p<E-3) increase in the expression of IQCD 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 56.0 <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)
Iqcf1 (IQ motif containing F1)   Male and Female 5 22 Brain -98.0 <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)
IRAK2 (interleukin-1 receptor-associated kinase 2) Using a linear mixed model, differential expression with age was identified in IRAK2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IREB2 (iron-responsive element binding protein 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)
IRF8 (interferon regulatory factor 8) Using a linear mixed model, differential expression with age was identified in IRF8 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IRS1 (insulin receptor substrate 1) Using a linear mixed model, differential expression with age was identified in IRS1 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)
IRS1 (insulin receptor substrate 1) Using a linear mixed model, differential expression with age was identified in IRS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Irs1 (insulin receptor substrate 1)   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)
Irx2 (Iroquois related homeobox 2 (Drosophila))   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)
IRX6 (iroquois homeobox 6) Using a linear mixed model, differential expression with age was identified in IRX6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Isca1 (iron-sulfur cluster assembly 1 homolog (S. cerevisiae))   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)
ISG20 (interferon stimulated exonuclease gene 20kDa) Using a linear mixed model, differential expression with age was identified in ISG20 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ISL1 (ISL LIM homeobox 1) Using a linear mixed model, differential expression with age was identified in ISL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ITGA2 (integrin, alpha 2 (CD49B, alpha 2 subunit of VLA-2 receptor)) Using a linear mixed model, differential expression with age was identified in ITGA2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ITGA2B (integrin, alpha 2b (platelet glycoprotein IIb of IIb/IIIa complex, antigen CD41)) 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 ITGA2B 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)
ITGAM (integrin, alpha M (complement component 3 receptor 3 subunit)) Using a linear mixed model, differential expression with age was identified in ITGAM in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ITGB1 (integrin, beta 1 (fibronectin receptor, beta polypeptide, antigen CD29 includes MDF2, MSK12))   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)
Itgb2 (integrin beta 2)   Male and Female 2 24 Visual Apparatus 306.0 <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)
ITGB4 (integrin, beta 4) Using a linear mixed model, differential expression with age was identified in ITGB4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Itgb5 (integrin beta 5)   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)
Itm2a (integral membrane protein 2A)   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)
ITPKA (inositol 1,4,5-trisphosphate 3-kinase A)   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)
ITPKB (inositol 1,4,5-trisphosphate 3-kinase B)   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)
ITPR3 (inositol 1,4,5-trisphosphate receptor, type 3) Using a linear mixed model, differential expression with age was identified in ITPR3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
IVD (isovaleryl-CoA dehydrogenase) Using a linear mixed model, differential expression with age was identified in IVD in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
JAG2 (jagged 2) Using a linear mixed model, differential expression with age was identified in JAG2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
JAKMIP3 (Janus kinase and microtubule interacting protein 3) Gene expression showed a significant (p<E-3) increase in the expression of JAKMIP3 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 100.0 <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)
JAM2 (junctional adhesion molecule 2) Using a linear mixed model, differential expression with age was identified in JAM2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
JOSD2 (Josephin domain containing 2) Using a linear mixed model, differential expression with age was identified in JOSD2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
JPH1 (junctophilin 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)
JUND (jun D proto-oncogene) Using a linear mixed model, differential expression with age was identified in JUND in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KANK1 (KN motif and ankyrin repeat domains 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)
KANSL1 (KAT8 regulatory NSL complex subunit 1) Using a linear mixed model, differential expression with age was identified in KANSL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KANSL3 (KAT8 regulatory NSL complex subunit 3) Using a linear mixed model, differential expression with age was identified in KANSL3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KAT2A (K(lysine) acetyltransferase 2A) Using a linear mixed model, differential expression with age was identified in KAT2A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KAZALD1 (Kazal-type serine peptidase inhibitor domain 1) Using a linear mixed model, differential expression with age was identified in KAZALD1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KBTBD11 (kelch repeat and BTB (POZ) domain containing 11) Using a linear mixed model, differential expression with age was identified in KBTBD11 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)
Kcnab1 (potassium voltage-gated channel, shaker-related subfamily, beta member 1)   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)
KCNAB3 (potassium voltage-gated channel, shaker-related subfamily, beta 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 KCNAB3 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)
KCNG2 (potassium voltage-gated channel, subfamily G, member 2)   Male and Female 20 75 Skeletal Muscle -10.0 <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)
KCNG3 (potassium voltage-gated channel, subfamily G, 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 KCNG3 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)
KCNIP4 (Kv channel interacting protein 4) Using a linear mixed model, differential expression with age was identified in KCNIP4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KCNJ2 (potassium inwardly-rectifying channel, subfamily J, member 2) Using a linear mixed model, differential expression with age was identified in KCNJ2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KCNJ8 (potassium inwardly-rectifying channel, subfamily J, member 8) 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 KCNJ8 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)
KCNJ9 (potassium inwardly-rectifying channel, subfamily J, member 9)   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)
KCNK12 (potassium channel, subfamily K, member 12) 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 KCNK12 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)
KCNK2 (potassium channel, subfamily K, member 2) Using a linear mixed model, differential expression with age was identified in KCNK2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KCNMB1 (potassium large conductance calcium-activated channel, subfamily M, beta member 1) Using a linear mixed model, differential expression with age was identified in KCNMB1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KCNS1 (potassium voltage-gated channel, delayed-rectifier, subfamily S, member 1) Using a linear mixed model, differential expression with age was identified in KCNS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KCTD13 (potassium channel tetramerization domain containing 13) Using a linear mixed model, differential expression with age was identified in KCTD13 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KCTD15 (potassium channel tetramerization domain containing 15) Using a linear mixed model, differential expression with age was identified in KCTD15 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Kctd3 (potassium channel tetramerisation domain containing 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)
Kdelr1 (KDEL (Lys-Asp-Glu-Leu) endoplasmic reticulum protein retention receptor 1)   Male and Female 6 22 Liver 2.0 <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)
KDELR3 (KDEL (Lys-Asp-Glu-Leu) endoplasmic reticulum protein retention receptor 3) Using a linear mixed model, differential expression with age was identified in KDELR3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Kdr (kinase insert domain protein receptor)   Male and Female 3 23 Hematological System 28.0 <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)
KHDRBS3 (KH domain containing, RNA binding, signal transduction associated 3) Using a linear mixed model, differential expression with age was identified in KHDRBS3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KIAA0226L (KIAA0226-like) Using a linear mixed model, differential expression with age was identified in KIAA0226L in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KIAA0232 (KIAA0232)   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)
KIAA0317 (KIAA0317)   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)
KIAA0319 (KIAA0319) Using a linear mixed model, differential expression with age was identified in KIAA0319 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KIAA0430 (KIAA0430) Using a linear mixed model, differential expression with age was identified in KIAA0430 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KIAA0513 (KIAA0513) Using a linear mixed model, differential expression with age was identified in KIAA0513 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KIAA0586 (KIAA0586) Using a linear mixed model, differential expression with age was identified in KIAA0586 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KIAA0753 (KIAA0753) Using a linear mixed model, differential expression with age was identified in KIAA0753 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KIAA0907 (KIAA0907) Using a linear mixed model, differential expression with age was identified in KIAA0907 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KIAA1407 (KIAA1407) Using a linear mixed model, differential expression with age was identified in KIAA1407 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KIAA1430 (KIAA1430)   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)
KIAA1467 (KIAA1467) Using a linear mixed model, differential expression with age was identified in KIAA1467 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KIAA1467 (KIAA1467)   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)
KIAA1468 (KIAA1468) Using a linear mixed model, differential expression with age was identified in KIAA1468 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KIAA1551 (KIAA1551) Gene expression showed a significant (p<E-3) increase in the expression of KIAA1551 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 71.0 <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)
KIAA1737 (KIAA1737) Gene expression showed a significant (p<E-3) decrease in the expression of KIAA1737 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 -50.25 <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)
KIF19 (kinesin family member 19) Using a linear mixed model, differential expression with age was identified in KIF19 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)
KIF1B (kinesin family member 1B) Using a linear mixed model, differential expression with age was identified in KIF1B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KIF1B (kinesin family member 1B) Gene expression showed a significant (p<E-3) decrease in the expression of KIF1B 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 -43.18 <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)
Kif2a (kinesin family member 2A)   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)
KIF3C (kinesin family member 3C)   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)
Kif6 (kinesin family member 6)   Male and Female 3 23 Hematological System 33.0 <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)
KLF13 (Kruppel-like factor 13)   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)
KLHDC3 (kelch domain containing 3) Using a linear mixed model, differential expression with age was identified in KLHDC3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KLHDC3 (kelch domain containing 3)   Male and Female 26 106 Brain -26.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
KLHDC8B (kelch domain containing 8B) Using a linear mixed model, differential expression with age was identified in KLHDC8B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KLHL29 (kelch-like family member 29) Using a linear mixed model, differential expression with age was identified in KLHL29 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KLHL3 (kelch-like 3 (Drosophila))   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)
KLHL31 (kelch-like 31 (Drosophila))   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)
KLHL9 (kelch-like 9 (Drosophila))   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)
KLK12 (kallikrein-related peptidase 12) Using a linear mixed model, differential expression with age was identified in KLK12 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Klk1b5 (kallikrein 1-related peptidase b5)   Male and Female 2 26 Lung -36.0 <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)
Klk6 (kallikrein related-peptidase 6)   Male and Female 5 30 Anatomical System 68.0 <0.001 2926: Lee et al. (2000) “Gene-expression profile of the ageing brain in mice.” Nat. Genet. 25(3):294-297 (10888876)
KLK6 (kallikrein-related peptidase 6) Using a linear mixed model, differential expression with age was identified in KLK6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Klra19 (killer cell lectin-like receptor, subfamily A, member 19)   Male and Female 5 22 Brain -97.0 <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)
Klraq1 (KLRAQ motif containing 1)   Male and Female 6 22 Liver 2.0 <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)
KLRB1 (killer cell lectin-like receptor subfamily B, member 1) Using a linear mixed model, differential expression with age was identified in KLRB1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KNG1 (kininogen 1)   Male and Female 27 92 Kidney -17.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
Kpna2 (karyopherin (importin) alpha 2)   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)
KPNA6 (karyopherin alpha 6 (importin alpha 7)) Using a linear mixed model, differential expression with age was identified in KPNA6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRI1 (KRI1 homolog (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in KRI1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT15 (keratin 15) Using a linear mixed model, differential expression with age was identified in KRT15 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Krt15 (keratin 15)   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)
KRT16 (keratin 16) Using a linear mixed model, differential expression with age was identified in KRT16 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT25 (keratin 25) Using a linear mixed model, differential expression with age was identified in KRT25 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT27 (keratin 27) Using a linear mixed model, differential expression with age was identified in KRT27 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT32 (keratin 32) Using a linear mixed model, differential expression with age was identified in KRT32 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT33B (keratin 33B) Using a linear mixed model, differential expression with age was identified in KRT33B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT34 (keratin 34) Using a linear mixed model, differential expression with age was identified in KRT34 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT35 (keratin 35) Using a linear mixed model, differential expression with age was identified in KRT35 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT38 (keratin 38) Using a linear mixed model, differential expression with age was identified in KRT38 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT4 (keratin 4) Using a linear mixed model, differential expression with age was identified in KRT4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT5 (keratin 5) Using a linear mixed model, differential expression with age was identified in KRT5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT6A (keratin 6A) Using a linear mixed model, differential expression with age was identified in KRT6A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT6A (keratin 6A) Comparison of DNA methylation showed a significantly decreased methylation level of KRT6A 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 -16.7 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
KRT6B (keratin 6B) Using a linear mixed model, differential expression with age was identified in KRT6B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT71 (keratin 71) Using a linear mixed model, differential expression with age was identified in KRT71 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT74 (keratin 74) Using a linear mixed model, differential expression with age was identified in KRT74 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT75 (keratin 75) Using a linear mixed model, differential expression with age was identified in KRT75 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT79 (keratin 79) Using a linear mixed model, differential expression with age was identified in KRT79 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT81 (keratin 81) Using a linear mixed model, differential expression with age was identified in KRT81 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT85 (keratin 85) Using a linear mixed model, differential expression with age was identified in KRT85 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT86 (keratin 86) Using a linear mixed model, differential expression with age was identified in KRT86 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRT9 (keratin 9) Using a linear mixed model, differential expression with age was identified in KRT9 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP10-1 (keratin associated protein 10-1) Using a linear mixed model, differential expression with age was identified in KRTAP10-1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP10-2 (keratin associated protein 10-2) Using a linear mixed model, differential expression with age was identified in KRTAP10-2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP10-4 (keratin associated protein 10-4) Using a linear mixed model, differential expression with age was identified in KRTAP10-4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP10-9 (keratin associated protein 10-9) Using a linear mixed model, differential expression with age was identified in KRTAP10-9 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP11-1 (keratin associated protein 11-1) Using a linear mixed model, differential expression with age was identified in KRTAP11-1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP12-1 (keratin associated protein 12-1) Using a linear mixed model, differential expression with age was identified in KRTAP12-1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP12-2 (keratin associated protein 12-2) Using a linear mixed model, differential expression with age was identified in KRTAP12-2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP17-1 (keratin associated protein 17-1) Using a linear mixed model, differential expression with age was identified in KRTAP17-1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP19-1 (keratin associated protein 19-1) Using a linear mixed model, differential expression with age was identified in KRTAP19-1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP24-1 (keratin associated protein 24-1) Using a linear mixed model, differential expression with age was identified in KRTAP24-1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP26-1 (keratin associated protein 26-1) Using a linear mixed model, differential expression with age was identified in KRTAP26-1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP4-1 (keratin associated protein 4-1) Using a linear mixed model, differential expression with age was identified in KRTAP4-1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP4-2 (keratin associated protein 4-2) Using a linear mixed model, differential expression with age was identified in KRTAP4-2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP4-3 (keratin associated protein 4-3) Using a linear mixed model, differential expression with age was identified in KRTAP4-3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP4-4 (keratin associated protein 4-4) Using a linear mixed model, differential expression with age was identified in KRTAP4-4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP4-5 (keratin associated protein 4-5) Using a linear mixed model, differential expression with age was identified in KRTAP4-5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP5-2 (keratin associated protein 5-2) Using a linear mixed model, differential expression with age was identified in KRTAP5-2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP5-5 (keratin associated protein 5-5) Using a linear mixed model, differential expression with age was identified in KRTAP5-5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP5-7 (keratin associated protein 5-7) Using a linear mixed model, differential expression with age was identified in KRTAP5-7 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP9-3 (keratin associated protein 9-3) Using a linear mixed model, differential expression with age was identified in KRTAP9-3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP9-4 (keratin associated protein 9-4) Using a linear mixed model, differential expression with age was identified in KRTAP9-4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP9-8 (keratin associated protein 9-8) Using a linear mixed model, differential expression with age was identified in KRTAP9-8 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
KRTAP9-9 (keratin associated protein 9-9) Using a linear mixed model, differential expression with age was identified in KRTAP9-9 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
L1cam (L1 cell adhesion molecule)   Male and Female 5 30 Anatomical System -12.0 <0.001 2926: Lee et al. (2000) “Gene-expression profile of the ageing brain in mice.” Nat. Genet. 25(3):294-297 (10888876)
LAD1 (ladinin 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 LAD1 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)
LAG3 (lymphocyte-activation gene 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 LAG3 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)
LAG3 (lymphocyte-activation gene 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 hypomethylation of LAG3 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)
LAMA3 (laminin, alpha 3) Using a linear mixed model, differential expression with age was identified in LAMA3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LAMA5 (laminin, alpha 5) Using a linear mixed model, differential expression with age was identified in LAMA5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LAMB1 (laminin, beta 1) Using a linear mixed model, differential expression with age was identified in LAMB1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Lamb1-1 (laminin B1 subunit 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)
LAMB3 (laminin, beta 3) Using a linear mixed model, differential expression with age was identified in LAMB3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LAMB4 (laminin, beta 4) Using a linear mixed model, differential expression with age was identified in LAMB4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Lamp1 (lysosomal-associated membrane protein 1)   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)
Lamp1 (lysosomal-associated membrane protein 1)   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)
LAMP2 (lysosomal-associated membrane protein 2) Using a linear mixed model, differential expression with age was identified in LAMP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LAMP2 (lysosomal-associated membrane protein 2)   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)
LAMTOR1 (late endosomal/lysosomal adaptor, MAPK and MTOR activator 1) Using a linear mixed model, differential expression with age was identified in LAMTOR1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LAMTOR2 (late endosomal/lysosomal adaptor, MAPK and MTOR activator 2) Using a linear mixed model, differential expression with age was identified in LAMTOR2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LAPTM5 (lysosomal protein transmembrane 5) Using a linear mixed model, differential expression with age was identified in LAPTM5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Lat (linker for activation of T cells)   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)
LCAT (lecithin-cholesterol acyltransferase) Using a linear mixed model, differential expression with age was identified in LCAT in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LCAT (lecithin-cholesterol acyltransferase) Comparison of DNA methylation showed a significantly decreased methylation level of LCAT 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)
LDHD (lactate dehydrogenase D) Using a linear mixed model, differential expression with age was identified in LDHD in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LDLRAD3 (low density lipoprotein receptor class A domain containing 3) Gene expression showed a significant (p<E-3) increase in the expression of LDLRAD3 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)
LEAP2 (liver expressed antimicrobial peptide 2) Using a linear mixed model, differential expression with age was identified in LEAP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LEF1 (lymphoid enhancer-binding factor 1) Using a linear mixed model, differential expression with age was identified in LEF1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LENG8 (leukocyte receptor cluster (LRC) member 8) Using a linear mixed model, differential expression with age was identified in LENG8 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LEPR (leptin receptor) Using a linear mixed model, differential expression with age was identified in LEPR 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)
LEPRE1 (leucine proline-enriched proteoglycan (leprecan) 1) Using a linear mixed model, differential expression with age was identified in LEPRE1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LEPREL1 (leprecan-like 1) Using a linear mixed model, differential expression with age was identified in LEPREL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LEPREL2 (leprecan-like 2) Using a linear mixed model, differential expression with age was identified in LEPREL2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LFNG (LFNG O-fucosylpeptide 3-beta-N-acetylglucosaminyltransferase) Using a linear mixed model, differential expression with age was identified in LFNG in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LGALS1 (lectin, galactoside-binding, soluble, 1) Using a linear mixed model, differential expression with age was identified in LGALS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Lgals3 (lectin, galactose binding, soluble 3)   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)
LGALS3BP (lectin, galactoside-binding, soluble, 3 binding protein) Using a linear mixed model, differential expression with age was identified in LGALS3BP 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)
LGALS8 (lectin, galactoside-binding, soluble, 8) Using a linear mixed model, differential expression with age was identified in LGALS8 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LGI3 (leucine-rich repeat LGI family, member 3) Using a linear mixed model, differential expression with age was identified in LGI3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LGMN (legumain) Using a linear mixed model, differential expression with age was identified in LGMN in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LGMN (legumain)   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)
LHCGR (luteinizing hormone/choriogonadotropin receptor) Using a linear mixed model, differential expression with age was identified in LHCGR 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)
LHX5 (LIM homeobox 5) 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 LHX5 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)
LIF (leukemia inhibitory factor) Using a linear mixed model, differential expression with age was identified in LIF in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LIG1 (ligase I, DNA, ATP-dependent) Using a linear mixed model, differential expression with age was identified in LIG1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LIMCH1 (LIM and calponin homology domains 1) Using a linear mixed model, differential expression with age was identified in LIMCH1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LINC00467 (long intergenic non-protein coding RNA 467) Using a linear mixed model, differential expression with age was identified in LINC00467 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LINC00479 (long intergenic non-protein coding RNA 479) Using a linear mixed model, differential expression with age was identified in LINC00479 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LIPG (lipase, endothelial) Using a linear mixed model, differential expression with age was identified in LIPG in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LLGL2 (lethal giant larvae homolog 2 (Drosophila)) 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 LLGL2 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)
Lman1 (lectin, mannose-binding, 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)
LMO3 (LIM domain only 3 (rhombotin-like 2)) Using a linear mixed model, differential expression with age was identified in LMO3 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)
LMO3 (LIM domain only 3 (rhombotin-like 2)) Using a linear mixed model, differential expression with age was identified in LMO3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LMTK2 (lemur tyrosine kinase 2)   Male and Female 20 75 Skeletal Muscle 15.0 <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)
LMX1A (LIM homeobox transcription factor 1, alpha) Using a linear mixed model, differential expression with age was identified in LMX1A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Lnx1 (ligand of numb-protein X 1)   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)
LOC380889 (LOC380889)   Male and Female 5 22 Brain -80.0 <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)
LOC641050 (LOC641050)   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)
LOC67527 (LOC67527)   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)
LOC728592 (similar to hCG2020539) Gene expression showed a significant (p<E-3) decrease in the expression of LOC728592 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 -56.14 <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)
LOX (lysyl oxidase) Using a linear mixed model, differential expression with age was identified in LOX in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LOXL4 (lysyl oxidase-like 4) Using a linear mixed model, differential expression with age was identified in LOXL4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Loxl4 (lysyl oxidase-like 4)   Male and Female 5 22 Brain -48.0 <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)
LPCAT3 (lysophosphatidylcholine acyltransferase 3) Using a linear mixed model, differential expression with age was identified in LPCAT3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LPIN1 (lipin 1)   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)
Lpin1 (lipin 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)
LPL (lipoprotein lipase)   Male and Female 27 92 Kidney -17.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
LPPR4 (lipid phosphate phosphatase-related protein type 4)   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)
LPXN (leupaxin) 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 LPXN 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)
LRG1 (leucine-rich alpha-2-glycoprotein 1) Using a linear mixed model, differential expression with age was identified in LRG1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LRIG1 (leucine-rich repeats and immunoglobulin-like domains 1)   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)
LRIG3 (leucine-rich repeats and immunoglobulin-like domains 3) Using a linear mixed model, differential expression with age was identified in LRIG3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LRP3 (low density lipoprotein receptor-related protein 3) Using a linear mixed model, differential expression with age was identified in LRP3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LRP4 (low density lipoprotein receptor-related protein 4) Using a linear mixed model, differential expression with age was identified in LRP4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LRP5L (low density lipoprotein receptor-related protein 5-like) Using a linear mixed model, differential expression with age was identified in LRP5L in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LRRC15 (leucine rich repeat containing 15) Using a linear mixed model, differential expression with age was identified in LRRC15 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LRRC17 (leucine rich repeat containing 17) Using a linear mixed model, differential expression with age was identified in LRRC17 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)
LRRC18 (leucine rich repeat containing 18) Using a linear mixed model, differential expression with age was identified in LRRC18 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Lrrc28 (leucine rich repeat containing 28)   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)
Lrrc63 (leucine rich repeat containing 63)   Male and Female 5 22 Brain -87.0 <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)
Lrrc69 (leucine rich repeat containing 69)   Male and Female 5 22 Brain 197.0 <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)
LRRN4CL (LRRN4 C-terminal like) Using a linear mixed model, differential expression with age was identified in LRRN4CL in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LSAMP (limbic system-associated membrane protein) 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 LSAMP 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)
LSM1 (LSM1, U6 small nuclear RNA associated) Using a linear mixed model, differential expression with age was identified in LSM1 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)
LSM4 (LSM4 homolog, U6 small nuclear RNA associated (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in LSM4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LSM5 (LSM5 homolog, U6 small nuclear RNA associated (S. cerevisiae)) Gene expression showed a significant (p<E-3) decrease in the expression of LSM5 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 -66.33 <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)
LSS (lanosterol synthase (2,3-oxidosqualene-lanosterol cyclase)) Using a linear mixed model, differential expression with age was identified in LSS in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LTB (lymphotoxin beta (TNF superfamily, member 3)) Using a linear mixed model, differential expression with age was identified in LTB in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LTB4R (leukotriene B4 receptor) Using a linear mixed model, differential expression with age was identified in LTB4R in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LTBP1 (latent transforming growth factor beta binding protein 1)   Male and Female 26 106 Brain 19.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
Ltbp3 (latent transforming growth factor beta binding 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)
LTF (lactotransferrin)   Male and Female 27 92 Kidney 115.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
Ltf (lactotransferrin)   Male and Female 2 15 Hippocampus 23.0 <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)
LUC7L3 (LUC7-like 3 (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in LUC7L3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LUC7L3 (LUC7-like 3 (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)
Ly6a (lymphocyte antigen 6 complex, locus A)   Male and Female 6 22 Liver 17.0 <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)
LY6E (lymphocyte antigen 6 complex, locus E) Using a linear mixed model, differential expression with age was identified in LY6E in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LY6G6D (lymphocyte antigen 6 complex, locus G6D) Using a linear mixed model, differential expression with age was identified in LY6G6D in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LY86 (lymphocyte antigen 86) Using a linear mixed model, differential expression with age was identified in LY86 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Ly86 (lymphocyte antigen 86)   Male and Female 2 15 Hippocampus 8.0 <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)
LYG2 (lysozyme G-like 2) Using a linear mixed model, differential expression with age was identified in LYG2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LYPD6 (LY6/PLAUR domain containing 6) Using a linear mixed model, differential expression with age was identified in LYPD6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LYSMD4 (LysM, putative peptidoglycan-binding, domain containing 4) Using a linear mixed model, differential expression with age was identified in LYSMD4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LYVE1 (lymphatic vessel endothelial hyaluronan receptor 1) Using a linear mixed model, differential expression with age was identified in LYVE1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
LYZ (lysozyme (renal amyloidosis))   Male and Female 27 92 Kidney 57.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
Lyz1 (lysozyme 1)   Male and Female 5 30 Anatomical System 82.0 <0.001 2926: Lee et al. (2000) “Gene-expression profile of the ageing brain in mice.” Nat. Genet. 25(3):294-297 (10888876)
Lyz1 (lysozyme 1)   Male and Female 2 24 Visual Apparatus 82.0 <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)
LZTS1 (leucine zipper, putative tumor suppressor 1) Using a linear mixed model, differential expression with age was identified in LZTS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAATS1 (MYCBP-associated, testis expressed 1) Using a linear mixed model, differential expression with age was identified in MAATS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAD1L1 (MAD1 mitotic arrest deficient-like 1 (yeast)) Using a linear mixed model, differential expression with age was identified in MAD1L1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAD2L1BP (MAD2L1 binding protein) Gene expression showed a significant (p<E-3) increase in the expression of MAD2L1BP 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)
MAGED1 (melanoma antigen family D, 1) Using a linear mixed model, differential expression with age was identified in MAGED1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAGED2 (melanoma antigen family D, 2)   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)
Maged2 (melanoma antigen, family D, 2)   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)
MAGEE1 (melanoma antigen family E, 1) Using a linear mixed model, differential expression with age was identified in MAGEE1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mal (myelin and lymphocyte protein, T-cell differentiation protein)   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)
MALT1 (mucosa associated lymphoid tissue lymphoma translocation gene 1) Using a linear mixed model, differential expression with age was identified in MALT1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAMDC2 (MAM domain containing 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 hypermethylation of MAMDC2 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)
Mamdc2 (MAM domain containing 2)   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)
MAMDC4 (MAM domain containing 4) Using a linear mixed model, differential expression with age was identified in MAMDC4 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)
MANF (mesencephalic astrocyte-derived neurotrophic factor) Using a linear mixed model, differential expression with age was identified in MANF in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAP1A (microtubule-associated protein 1A) Using a linear mixed model, differential expression with age was identified in MAP1A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAP2 (microtubule-associated protein 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)
MAP2K1 (mitogen-activated protein kinase kinase 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)
Map2k2 (mitogen-activated protein kinase kinase 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)
Map2k6 (mitogen-activated protein kinase kinase 6)   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)
MAP3K15 (mitogen-activated protein kinase kinase kinase 15)   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)
MAP3K5 (mitogen-activated protein kinase kinase kinase 5) 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 MAP3K5 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)
MAP3K5 (mitogen-activated protein kinase kinase kinase 5) 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 MAP3K5 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)
MAP3K6 (mitogen-activated protein kinase kinase kinase 6) Using a linear mixed model, differential expression with age was identified in MAP3K6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAP3K7 (mitogen-activated protein kinase kinase kinase 7) Using a linear mixed model, differential expression with age was identified in MAP3K7 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAP3K7CL (MAP3K7 C-terminal like) Using a linear mixed model, differential expression with age was identified in MAP3K7CL in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Map3k9 (mitogen-activated protein kinase kinase kinase 9)   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)
Map4k2 (mitogen-activated protein kinase kinase kinase kinase 2)   Male and Female 5 30 Anatomical System -19.0 <0.001 2926: Lee et al. (2000) “Gene-expression profile of the ageing brain in mice.” Nat. Genet. 25(3):294-297 (10888876)
MAP4K3 (mitogen-activated protein kinase kinase kinase kinase 3)   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)
MAP4K4 (mitogen-activated protein kinase kinase kinase kinase 4) Gene expression showed a significant (p<E-3) increase in the expression of MAP4K4 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 69.0 <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)
MAPK1 (mitogen-activated protein kinase 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)
MAPK3 (mitogen-activated protein kinase 3) Using a linear mixed model, differential expression with age was identified in MAPK3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAPK6 (mitogen-activated protein kinase 6)   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)
MAPK8IP2 (mitogen-activated protein kinase 8 interacting protein 2) Using a linear mixed model, differential expression with age was identified in MAPK8IP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAPK8IP3 (mitogen-activated protein kinase 8 interacting protein 3) Using a linear mixed model, differential expression with age was identified in MAPK8IP3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAPK9 (mitogen-activated protein kinase 9)   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)
MAPKAP1 (mitogen-activated protein kinase associated protein 1) Using a linear mixed model, differential expression with age was identified in MAPKAP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAPKAPK5-AS1 (MAPKAPK5 antisense RNA 1) Using a linear mixed model, differential expression with age was identified in MAPKAPK5-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)
MAPKBP1 (mitogen-activated protein kinase binding protein 1) Using a linear mixed model, differential expression with age was identified in MAPKBP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAPRE2 (microtubule-associated protein, RP/EB family, member 2)   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)
MAPT (microtubule-associated protein tau)   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)
March7 (membrane-associated ring finger (C3HC4) 7)   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)
March7 (membrane-associated ring finger (C3HC4) 7)   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)
MARCKSL1 (MARCKS-like 1) Using a linear mixed model, differential expression with age was identified in MARCKSL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MARK1 (MAP/microtubule affinity-regulating kinase 1) Using a linear mixed model, differential expression with age was identified in MARK1 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)
MASP1 (mannan-binding lectin serine peptidase 1 (C4/C2 activating component of Ra-reactive factor)) Using a linear mixed model, differential expression with age was identified in MASP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MASP2 (mannan-binding lectin serine peptidase 2)   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)
MAST4 (microtubule associated serine/threonine kinase family member 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 hypomethylation of MAST4 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)
MATN2 (matrilin 2) Using a linear mixed model, differential expression with age was identified in MATN2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAU2 (MAU2 sister chromatid cohesion factor) Using a linear mixed model, differential expression with age was identified in MAU2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MAX (MYC associated factor X) Using a linear mixed model, differential expression with age was identified in MAX in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mbd2 (methyl-CpG binding domain protein 2)   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)
MBD6 (methyl-CpG binding domain protein 6) Using a linear mixed model, differential expression with age was identified in MBD6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mbd6 (methyl-CpG binding domain protein 6)   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)
Mbl2 (mannose-binding lectin (protein C) 2)   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)
MBNL2 (muscleblind-like 2 (Drosophila))   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)
MBOAT1 (membrane bound O-acyltransferase domain containing 1) Using a linear mixed model, differential expression with age was identified in MBOAT1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MBP (myelin basic protein) Gene expression showed a significant (p<E-3) increase in the expression of MBP 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 139.0 <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)
MC5R (melanocortin 5 receptor) Using a linear mixed model, differential expression with age was identified in MC5R in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MCAT (malonyl CoA:ACP acyltransferase (mitochondrial)) Using a linear mixed model, differential expression with age was identified in MCAT in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mcfd2 (multiple coagulation factor deficiency 2)   Male and Female 6 22 Liver 0.0 <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)
MCM3AP (minichromosome maintenance complex component 3 associated protein) Using a linear mixed model, differential expression with age was identified in MCM3AP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MCOLN2 (mucolipin 2) Using a linear mixed model, differential expression with age was identified in MCOLN2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MCUR1 (mitochondrial calcium uniporter regulator 1) Using a linear mixed model, differential expression with age was identified in MCUR1 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)
MDC1 (mediator of DNA-damage checkpoint 1) Using a linear mixed model, differential expression with age was identified in MDC1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MDH1 (malate dehydrogenase 1, NAD (soluble))   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)
MDH1 (malate dehydrogenase 1, NAD (soluble))   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)
MDH2 (malate dehydrogenase 2, NAD (mitochondrial))   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)
Mdm4 (transformed mouse 3T3 cell double minute 4)   Male and Female 5 25 Skeletal Muscle -25.0 <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)
ME1 (malic enzyme 1, NADP(+)-dependent, cytosolic) Using a linear mixed model, differential expression with age was identified in ME1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ME2 (malic enzyme 2, NAD(+)-dependent, mitochondrial)   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)
ME3 (malic enzyme 3, NADP(+)-dependent, mitochondrial)   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)
MEA1 (Male-enhanced antigen 1) Using a linear mixed model, differential expression with age was identified in MEA1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MECR (mitochondrial trans-2-enoyl-CoA reductase) Using a linear mixed model, differential expression with age was identified in MECR in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MEF2A (myocyte enhancer factor 2A) Using a linear mixed model, differential expression with age was identified in MEF2A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MEG3 (maternally expressed 3 (non-protein coding)) Using a linear mixed model, differential expression with age was identified in MEG3 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)
MEGF8 (multiple EGF-like-domains 8)   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)
MEIS1 (Meis homeobox 1) Using a linear mixed model, differential expression with age was identified in MEIS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MEIS1 (Meis homeobox 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 MEIS1 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)
Meis2 (Meis homeobox 2)   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)
Meox1 (mesenchyme homeobox 1)   Male and Female 2 26 Lung -19.0 <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)
MERTK (MER proto-oncogene, tyrosine kinase) Using a linear mixed model, differential expression with age was identified in MERTK in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mesdc2 (mesoderm development candidate 2)   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)
METTL17 (methyltransferase like 17) Using a linear mixed model, differential expression with age was identified in METTL17 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mettl2 (methyltransferase like 2)   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)
METTL2B (methyltransferase like 2B)   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)
METTL7B (methyltransferase like 7B) Using a linear mixed model, differential expression with age was identified in METTL7B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MFAP3L (microfibrillar-associated protein 3-like) Using a linear mixed model, differential expression with age was identified in MFAP3L in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MFAP5 (microfibrillar associated protein 5) Comparison of DNA methylation showed a significantly decreased methylation level of MFAP5 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 -46.4 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
MFAP5 (microfibrillar associated protein 5) Comparison of DNA methylation showed a significantly decreased methylation level of MFAP5 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 -15.0 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
MFF (mitochondrial fission factor)   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)
MFSD12 (major facilitator superfamily domain containing 12) Using a linear mixed model, differential expression with age was identified in MFSD12 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MFSD5 (major facilitator superfamily domain containing 5) Using a linear mixed model, differential expression with age was identified in MFSD5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mfsd7b (major facilitator superfamily domain containing 7B)   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)
MGAT1 (mannosyl (alpha-1,3-)-glycoprotein beta-1,2-N-acetylglucosaminyltransferase) Using a linear mixed model, differential expression with age was identified in MGAT1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MGEA5 (meningioma expressed antigen 5 (hyaluronidase)) 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 MGEA5 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)
MGME1 (mitochondrial genome maintenance exonuclease 1) Using a linear mixed model, differential expression with age was identified in MGME1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MGST1 (microsomal glutathione S-transferase 1) Using a linear mixed model, differential expression with age was identified in MGST1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MIAT (myocardial infarction associated transcript (non-protein coding)) Using a linear mixed model, differential expression with age was identified in MIAT in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MICA (MHC class I polypeptide-related sequence A) Gene expression showed a significant (p<0.01) increase in the expression of frontal lobe MICA 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 39.49 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)
MICA (MHC class I polypeptide-related sequence A) Gene expression showed a significant (p<0.01) increase in the expression of frontal lobe MICA 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 37.9 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)
MICALL2 (MICAL-like 2) Using a linear mixed model, differential expression with age was identified in MICALL2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MICB (MHC class I polypeptide-related sequence B) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe MICB 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 39.86 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)
Miip (migration and invasion inhibitory protein)   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)
MIPEP (mitochondrial intermediate peptidase) Using a linear mixed model, differential expression with age was identified in MIPEP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MIPEP (mitochondrial intermediate peptidase)   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)
MIR100 (microRNA 100) Expression level of miR-100 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -49.12957126 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR101-1 (microRNA 101-1) Expression level of miR-101 is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -49.52890172 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR101-1 (microRNA 101-1) Expression level of miR-101 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -29.60331458 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR103A1 (microRNA 103a-1) Genome-wide assessment, followed by rtPCR, of miRNA expression in the peripheral blood mononuclear cells between young (age 30) and old (age 64) patients shows that miR-103 has a significantly lower expression in older individuals. Male and Female -1 -1 Blood, Immune System     2812: Noren Hooten et al. (2010) “microRNA expression patterns reveal differential expression of target genes with age.” PLoS ONE 5(5):e10724 (20505758)
MIR106A (microRNA 106a) MicroRNA level showed a significant (p<E-4) decrease in the expression of miR-106a from blood samples of German centenarians and nonagenarians (mean age at the time of recruitment: 98.9 years) compared to younger controls (mean age at the time of enrollment: 43.8 years) Male and Female 45 96 Blood -98.7 <0.001 3452: ElSharawy, A et al. (2012) “Genome-wide miRNA signatures of human longevity.” Aging Cell 11(4):607-616 (22533606)
MIR106B (microRNA 106b) Expression level of miR-106b is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -40.42070508 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR107 (microRNA 107) Expression level of miR-107 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -29.66190219 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR107 (microRNA 107) Genome-wide assessment, followed by rtPCR, of miRNA expression in the peripheral blood mononuclear cells between young (age 30) and old (age 64) individuals shows that miR-107 has a significantly lower expression in older individuals. Male and Female -1 -1 Blood, Immune System     2812: Noren Hooten et al. (2010) “microRNA expression patterns reveal differential expression of target genes with age.” PLoS ONE 5(5):e10724 (20505758)
MIR10A (microRNA 10a) 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 MIR10A 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)
MIR10A (microRNA 10a) Expression level of miR-10a is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -52.22402421 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR10B (microRNA 10b) Expression level of miR-10b is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -41.64350787 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR1248 (microRNA 1248) MicroRNA level of miR-1248 showed a decrease in older individuals (mean age 64) when compared with younger controls (mean age 30) Male and Female 30 64 Blood     3453: Noren Hooten, N et al. (2013) “Age-related changes in microRNA levels in serum.” Aging (Albany NY) 5(10):725-740 (24088671)
MIR125A (microRNA 125a) Expression level of miR-125a-5p is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -48.17039516 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR125B1 (microRNA 125b-1) Expression level of miR-125b is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -30.47602874 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR126 (microRNA 126) Expression level of miR-126 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -33.08045221 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR126 (microRNA 126) Expression level of miR-126* is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -32.25540503 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR126 (microRNA 126) MicroRNA level showed a significant (p<E-4) decrease in the expression of miR-126 from blood samples of German centenarians and nonagenarians (mean age at the time of recruitment: 98.9 years) compared to younger controls (mean age at the time of enrollment: 43.8 years) Male and Female 45 96 Blood -93.3 <0.001 3452: ElSharawy, A et al. (2012) “Genome-wide miRNA signatures of human longevity.” Aging Cell 11(4):607-616 (22533606)
MIR128-1 (microRNA 128-1) Genome-wide assessment, followed by rtPCR, of miRNA expression in the peripheral blood mononuclear cells between young (age 30) and old (age 64) patients shows that miR-128 has a significantly lower expression in older individuals. Male and Female -1 -1 Blood, Immune System     2812: Noren Hooten et al. (2010) “microRNA expression patterns reveal differential expression of target genes with age.” PLoS ONE 5(5):e10724 (20505758)
MIR128-2 (microRNA 128-2) Genome-wide assessment, followed by rtPCR, of miRNA expression in the peripheral blood mononuclear cells between young (age 30) and old (age 64) patients shows that miR-128 has a significantly lower expression in older individuals. Male and Female -1 -1 Blood, Immune System     2812: Noren Hooten et al. (2010) “microRNA expression patterns reveal differential expression of target genes with age.” PLoS ONE 5(5):e10724 (20505758)
MIR130A (microRNA 130a) Expression level of miR-130a is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -44.56983319 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR130A (microRNA 130a) Genome-wide assessment, followed by rtPCR, of miRNA expression in the peripheral blood mononuclear cells between young (age 30) and old (age 64) patients shows that miR-130a has a significantly lower expression in older individuals. Male and Female -1 -1 Blood, Immune System     2812: Noren Hooten et al. (2010) “microRNA expression patterns reveal differential expression of target genes with age.” PLoS ONE 5(5):e10724 (20505758)
MIR144 (microRNA 144) Expression level of miR-144 is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 390.1654161 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR144 (microRNA 144) MicroRNA level showed a significant (p<E-4) decrease in the expression of miR-144* from blood samples of German centenarians and nonagenarians (mean age at the time of recruitment: 98.9 years) compared to younger controls (mean age at the time of enrollment: 43.8 years) Male and Female 45 96 Blood -85.9 <0.001 3452: ElSharawy, A et al. (2012) “Genome-wide miRNA signatures of human longevity.” Aging Cell 11(4):607-616 (22533606)
MIR146B (microRNA 146b) Expression level of miR-146b-5p is significantly increased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell 59.35098471 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR148B (microRNA 148b) Expression level of miR-148b is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -31.81083997 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR149 (microRNA 149) Expression level of miR-149 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -34.64544232 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR151A (microRNA 151a) Expression level of miR-151-5p is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -26.76799245 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR152 (microRNA 152) Expression level of miR-152 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -35.1083559 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR1538 (microRNA 1538) Genome-wide assessment, followed by rtPCR, of miRNA expression in the peripheral blood mononuclear cells between young (age 30) and old (age 64) patients shows that miR-1538 has a significantly lower expression in older individuals. Male and Female -1 -1 Blood, Immune System     2812: Noren Hooten et al. (2010) “microRNA expression patterns reveal differential expression of target genes with age.” PLoS ONE 5(5):e10724 (20505758)
MIR154 (microRNA 154) Expression level of miR-154* is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 67.71547678 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR155 (microRNA 155) Genome-wide assessment, followed by rtPCR, of miRNA expression in the peripheral blood mononuclear cells between young (age 30) and old (age 64) patients shows that miR-155 has a significantly lower expression in older individuals. Male and Female -1 -1 Blood, Immune System     2812: Noren Hooten et al. (2010) “microRNA expression patterns reveal differential expression of target genes with age.” PLoS ONE 5(5):e10724 (20505758)
MIR15A (microRNA 15a) Expression level of miR-15a is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -78.01472003 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR15B (microRNA 15b) Expression level of miR-15b is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -28.15990463 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR15B (microRNA 15b) Expression level of miR-15b is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -29.40933779 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR17 (microRNA 17) Expression level of miR-17 is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -63.09918737 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR17HG (miR-17-92 cluster host gene (non-protein coding)) Gene expression showed a significant (p<E-3) decrease in the expression of MIR17HG 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 -41.18 <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)
MIR181A1 (microRNA 181a-1) Expression level of miR-181a is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -40.74009933 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR181A1 (microRNA 181a-1) MicroRNA level of miR-181a-5p showed a decrease in older individuals (mean age 64) when compared with younger controls (mean age 30) Male and Female 30 64 Blood     3453: Noren Hooten, N et al. (2013) “Age-related changes in microRNA levels in serum.” Aging (Albany NY) 5(10):725-740 (24088671)
MIR181A2 (microRNA 181a-2) MicroRNA level of miR-181a-5p showed a decrease in older individuals (mean age 64) when compared with younger controls (mean age 30) Male and Female 30 64 Blood     3453: Noren Hooten, N et al. (2013) “Age-related changes in microRNA levels in serum.” Aging (Albany NY) 5(10):725-740 (24088671)
MIR183 (microRNA 183) Expression level of miR-183* is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 82.53008701 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR184 (microRNA 184) Expression level of miR-184 is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 52.13278979 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR18A (microRNA 18a) MicroRNA level showed a significant (p<E-4) decrease in the expression of miR-18a from blood samples of German centenarians and nonagenarians (mean age at the time of recruitment: 98.9 years) compared to younger controls (mean age at the time of enrollment: 43.8 years) Male and Female 45 96 Blood -89.8 <0.001 3452: ElSharawy, A et al. (2012) “Genome-wide miRNA signatures of human longevity.” Aging Cell 11(4):607-616 (22533606)
MIR18B (microRNA 18b) Expression level of miR-18b is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -39.33285003 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR191 (microRNA 191) Expression level of miR-191 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -38.35663761 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR196A1 (microRNA 196a-1) Expression level of miR-196a is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -40.49744884 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR199A1 (microRNA 199a-1) Expression level of miR-199a-3p/199b-3p is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -39.99425153 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR199A1 (microRNA 199a-1) Expression level of miR-199a-3p/199b-3p is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -39.85796514 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR199A1 (microRNA 199a-1) Expression level of miR-199a-5p is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -26.45615697 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR199B (microRNA 199b) Expression level of miR-199b-5p is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -62.19124036 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR19A (microRNA 19a) Expression level of miR-19a is significantly decreased in mesenchymal stem cells from elderly when compared with younger controls. Male and Female -1 -1 Mesenchymal Stem Cell -40.73026724 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR19A (microRNA 19a) Expression level of miR-19a is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -24.60681084 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR19A (microRNA 19a) Expression level of miR-19a is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -49.00595031 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR19B1 (microRNA 19b-1) Expression level of miR-19b is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -63.54192801 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR200C (microRNA 200c) Expression level of miR-200c is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -35.55872976 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR206 (microRNA 206) Expression level of miR-206 is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -47.42358866 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR20A (microRNA 20a) MicroRNA level showed a significant (p<E-4) decrease in the expression of miR-20a from blood samples of German centenarians and nonagenarians (mean age at the time of recruitment: 98.9 years) compared to younger controls (mean age at the time of enrollment: 43.8 years) Male and Female 45 96 Blood -94.2 <0.001 3452: ElSharawy, A et al. (2012) “Genome-wide miRNA signatures of human longevity.” Aging Cell 11(4):607-616 (22533606)
MIR20B (microRNA 20b) Expression level of miR-20b is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -53.29074374 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR21 (microRNA 21) Expression level of miR-21 is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -83.59939039 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR210 (microRNA 210) Expression level of miR-210 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -21.84260838 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR212 (microRNA 212) Expression level of miR-212 is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -66.0492758 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR214 (microRNA 214) Expression level of miR-214 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -27.09458454 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR221 (microRNA 221) Genome-wide assessment, followed by rtPCR, of miRNA expression in the peripheral blood mononuclear cells between young (age 30) and old (age 64) patients shows that miR-221 has a significantly lower expression in older individuals. Male and Female -1 -1 Blood, Immune System     2812: Noren Hooten et al. (2010) “microRNA expression patterns reveal differential expression of target genes with age.” PLoS ONE 5(5):e10724 (20505758)
MIR23A (microRNA 23a) Expression level of miR-23a is significantly increased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell 137.1939302 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR23B (microRNA 23b) Expression level of miR-23b is significantly increased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell 32.79614927 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR24-1 (microRNA 24-1) Genome-wide assessment, followed by rtPCR, of miRNA expression in the peripheral blood mononuclear cells between young (age 30) and old (age 64) patients shows that miR-24 has a significantly lower expression in older individuals. Male and Female -1 -1 Blood, Immune System     2812: Noren Hooten et al. (2010) “microRNA expression patterns reveal differential expression of target genes with age.” PLoS ONE 5(5):e10724 (20505758)
MIR24-2 (microRNA 24-2) Genome-wide assessment, followed by rtPCR, of miRNA expression in the peripheral blood mononuclear cells between young (age 30) and old (age 64) patients shows that miR-24 has a significantly lower expression in older individuals. Male and Female -1 -1 Blood, Immune System     2812: Noren Hooten et al. (2010) “microRNA expression patterns reveal differential expression of target genes with age.” PLoS ONE 5(5):e10724 (20505758)
MIR26A1 (microRNA 26a-1) Expression level of miR-26a is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -27.46615314 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR27A (microRNA 27a) Expression level of miR-27a is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -47.71839105 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR27B (microRNA 27b) Expression level of miR-27b is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -31.73098046 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR28 (microRNA 28) Expression level of miR-28-5p is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -38.07325363 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR29A (microRNA 29a) Expression level of miR-29a is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 30.40432246 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR29B1 (microRNA 29b-1) Expression level of miR-29b is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -57.25032491 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR29C (microRNA 29c) Expression level of miR-29c is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -29.54318021 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR30B (microRNA 30b) Expression level of miR-30b is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -43.00511438 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR30B (microRNA 30b) Expression level of miR-30b* is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 59.52568737 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR30C1 (microRNA 30c-1) Expression level of miR-30c is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -43.24047937 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR30D (microRNA 30d) Expression level of miR-30d is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -40.71624525 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR30E (microRNA 30e) Expression level of miR-30e is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -33.15182984 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR30E (microRNA 30e) Expression level of miR-30e is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -73.82882308 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR30E (microRNA 30e) Expression level of miR-30e* is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -40.76226564 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR320B1 (microRNA 320b-1) MicroRNA level showed a significant (p<E-4) increase in the expression of miR-320b from blood samples of German centenarians and nonagenarians (mean age at the time of recruitment: 98.9 years) compared to younger controls (mean age at the time of enrollment: 43.8 years) Male and Female 45 96 Blood 1049.9 <0.001 3452: ElSharawy, A et al. (2012) “Genome-wide miRNA signatures of human longevity.” Aging Cell 11(4):607-616 (22533606)
MIR320B2 (microRNA 320b-2) MicroRNA level showed a significant (p<E-4) increase in the expression of miR-320b from blood samples of German centenarians and nonagenarians (mean age at the time of recruitment: 98.9 years) compared to younger controls (mean age at the time of enrollment: 43.8 years) Male and Female 45 96 Blood 1049.9 <0.001 3452: ElSharawy, A et al. (2012) “Genome-wide miRNA signatures of human longevity.” Aging Cell 11(4):607-616 (22533606)
MIR320D1 (microRNA 320d-1) MicroRNA level showed a significant (p<E-4) increase in the expression of miR-320d from blood samples of German centenarians and nonagenarians (mean age at the time of recruitment: 98.9 years) compared to younger controls (mean age at the time of enrollment: 43.8 years) Male and Female 45 96 Blood 529.9 <0.001 3452: ElSharawy, A et al. (2012) “Genome-wide miRNA signatures of human longevity.” Aging Cell 11(4):607-616 (22533606)
MIR320D2 (microRNA 320d-2) MicroRNA level showed a significant (p<E-4) increase in the expression of miR-320d from blood samples of German centenarians and nonagenarians (mean age at the time of recruitment: 98.9 years) compared to younger controls (mean age at the time of enrollment: 43.8 years) Male and Female 45 96 Blood 529.9 <0.001 3452: ElSharawy, A et al. (2012) “Genome-wide miRNA signatures of human longevity.” Aging Cell 11(4):607-616 (22533606)
MIR326 (microRNA 326) Expression level of miR-326 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -32.80748136 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR335 (microRNA 335) Expression level of miR-335 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -57.15538287 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR335 (microRNA 335) Expression level of miR-335 is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -57.93470145 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR338 (microRNA 338) Expression level of miR-338-3p is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -61.67465399 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR340 (microRNA 340) Expression level of miR-340 is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -46.64030837 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR342 (microRNA 342) Expression level of miR-342-3p is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -36.54149688 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR342 (microRNA 342) Expression level of miR-342-3p is significantly increased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell 57.50191219 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR361 (microRNA 361) Expression level of miR-361-5p is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -24.89880959 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR374A (microRNA 374a) Expression level of miR-374a is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -36.13611207 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR374B (microRNA 374b) Expression level of miR-374b is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -37.92670721 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR376A1 (microRNA 376a-1) Expression level of miR-376a is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -31.31874117 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR381 (microRNA 381) Expression level of miR-381 is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 50.54887548 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR423 (microRNA 423) Expression level of miR-423-3p is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 33.76594085 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR424 (microRNA 424) Expression level of miR-424 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -39.22191961 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR432 (microRNA 432) Expression level of miR-432* is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 37.12254738 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR451A (microRNA 451a) Expression level of miR-451 is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 110.9968213 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR483 (microRNA 483) Expression level of miR-483-5p is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 92.15722509 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR486 (microRNA 486) Expression level of miR-486-5p is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 72.48925493 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR487B (microRNA 487b) Expression level of miR-487b is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -58.5805346 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR489 (microRNA 489) Expression level of miR-489 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -29.76117731 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR491 (microRNA 491) Expression level of miR-491-3p is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -45.92484981 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR492 (microRNA 492) Expression level of miR-492 is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 83.89723272 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR494 (microRNA 494) Expression level of miR-494 is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 24.97400511 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR496 (microRNA 496) Genome-wide assessment, followed by rtPCR, of miRNA expression in the peripheral blood mononuclear cells between young (age 30) and old (age 64) patients shows that miR-496 has a significantly lower expression in older individuals. Male and Female -1 -1 Blood, Immune System     2812: Noren Hooten et al. (2010) “microRNA expression patterns reveal differential expression of target genes with age.” PLoS ONE 5(5):e10724 (20505758)
MIR498 (microRNA 498) Expression level of miR-498 is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -29.67819659 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR503HG (MIR503 host gene (non-protein coding)) Using a linear mixed model, differential expression with age was identified in MIR503HG in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MIR512-1 (microRNA 512-1) Expression level of miR-512-5p is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 26.04598497 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR518A1 (microRNA 518a-1) Expression level of miR-518a-5p/527 is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 38.55100302 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR518C (microRNA 518c) Expression level of miR-518c* is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 55.54795576 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR518D (microRNA 518d) Expression level of miR-518d-5p/518f*/520c-5p/526a is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 41.43034314 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR519D (microRNA 519d) Expression level of miR-519d is significantly decreased in mesenchymal stem cells from elderly when compared with younger controls. Male and Female -1 -1 Mesenchymal Stem Cell -44.70047638 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR519D (microRNA 519d) Expression level of miR-519d is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -61.58384839 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR519E (microRNA 519e) Expression level of miR-519e* is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 88.83022063 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR525 (microRNA 525) Expression level of miR-525-5p is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -61.38102312 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR525 (microRNA 525) Expression level of miR-525-5p is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 102.475888 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR526B (microRNA 526b) Expression level of miR-526b is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 50.21656589 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR543 (microRNA 543) Expression level of miR-543 is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 40.66315114 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR583 (microRNA 583) Expression level of miR-583 is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 105.4245302 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR584 (microRNA 584) Expression level of miR-584 is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 40.89226779 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR590 (microRNA 590) Expression level of miR-590-5p is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -55.80327827 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR602 (microRNA 602) Expression level of miR-602 is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 39.04096531 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR642A (microRNA 642a) Expression level of miR-642 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -27.53022762 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR658 (microRNA 658) Expression level of miR-658 is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 65.65478753 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR668 (microRNA 668) Expression level of miR-668 is significantly increased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell 251.3577246 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR671 (microRNA 671) Expression level of miR-671-5p is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 45.93859491 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR675 (microRNA 675) Expression level of miR-675 is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 68.98168599 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR744 (microRNA 744) Expression level of miR-744 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -28.85903186 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR765 (microRNA 765) Expression level of miR-765 is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 117.1928508 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR96 (microRNA 96) Expression level of miR-96* is significantly increased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin 62.44505659 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR98 (microRNA 98) Expression level of miR-98 is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -43.76695802 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR98 (microRNA 98) Expression level of miR-98 is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -18.90982526 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR99A (microRNA 99a) Expression level of miR-99a is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -49.91098759 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIR99B (microRNA 99b) Expression level of miR-99b is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -25.2805164 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIRLET7A1 (microRNA let-7a-1) Expression level of let-7a is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -36.57002887 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIRLET7C (microRNA let-7c) Expression level of let-7c is significantly increased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell 33.63957266 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIRLET7D (microRNA let-7d) Expression level of let-7d is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -25.78825365 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIRLET7F1 (microRNA let-7f-1) Expression level of let-7f is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -34.46205163 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIRLET7F1 (microRNA let-7f-1) Expression level of let-7f is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -65.56927071 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIRLET7G (microRNA let-7g) Expression level of let-7g is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -32.90181338 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIRLET7I (microRNA let-7i) Expression level of let-7i is significantly decreased in foreskin cells from elderly when compared with younger controls. Male -1 -1 Foreskin -18.72576513 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIRLET7I (microRNA let-7i) Expression level of let-7i is significantly decreased in T cells from elderly when compared with younger controls. Male and Female -1 -1 T Cell -46.85444339 <0.001 2690: Hackl et al. (2010) “miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging.” Aging Cell 9(2):291-296 (20089119)
MIS18BP1 (MIS18 binding protein 1) Using a linear mixed model, differential expression with age was identified in MIS18BP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MISP (mitotic spindle positioning) Comparison of DNA methylation showed a significantly decreased methylation level of C19orf21 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 -16.3 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
MISP (mitotic spindle positioning) Comparison of DNA methylation showed a significantly decreased methylation level of C19orf21 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 -24.8 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
MKRN1 (makorin ring finger protein 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)
MKRNP5 (makorin ring finger protein pseudogene 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)
MLANA (melan-A) Using a linear mixed model, differential expression with age was identified in MLANA in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MLC1 (megalencephalic leukoencephalopathy with subcortical cysts 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)
MLEC (Malectin) Using a linear mixed model, differential expression with age was identified in MLEC in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MLEC (Malectin)   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)
MLF2 (myeloid leukemia factor 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 MLF2 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)
MLKL (mixed lineage kinase domain-like) Using a linear mixed model, differential expression with age was identified in MLKL in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MLKL (mixed lineage kinase domain-like)   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)
MLLT10 (myeloid/lymphoid or mixed-lineage leukemia (trithorax homolog, Drosophila); translocated to, 10) Using a linear mixed model, differential expression with age was identified in MLLT10 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MLLT11 (myeloid/lymphoid or mixed-lineage leukemia (trithorax homolog, Drosophila); translocated to, 11) 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 MLLT11 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)
MMD (monocyte to macrophage differentiation-associated)   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)
MMGT1 (membrane magnesium transporter 1) Using a linear mixed model, differential expression with age was identified in MMGT1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mmp14 (matrix metallopeptidase 14 (membrane-inserted))   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)
MMP28 (matrix metallopeptidase 28) Using a linear mixed model, differential expression with age was identified in MMP28 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MMP7 (matrix metallopeptidase 7 (matrilysin, uterine))   Male and Female 27 92 Kidney 23.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
MMRN1 (multimerin 1) Using a linear mixed model, differential expression with age was identified in MMRN1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mmrn1 (multimerin 1)   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)
MMS19 (MMS19 nucleotide excision repair homolog (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in MMS19 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mn1 (meningioma 1)   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)
MOB3B (MOB kinase activator 3B) Using a linear mixed model, differential expression with age was identified in MOB3B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mocos (molybdenum cofactor sulfurase)   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)
MOCS1 (molybdenum cofactor synthesis 1) Using a linear mixed model, differential expression with age was identified in MOCS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MOGAT1 (monoacylglycerol O-acyltransferase 1) Using a linear mixed model, differential expression with age was identified in MOGAT1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mogs (mannosyl-oligosaccharide glucosidase)   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)
MON2 (MON2 homolog (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in MON2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MORC4 (MORC family CW-type zinc finger 4) Using a linear mixed model, differential expression with age was identified in MORC4 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)
Morf4l2 (mortality factor 4 like 2)   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)
MORN2 (MORN repeat containing 2) Using a linear mixed model, differential expression with age was identified in MORN2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MORN5 (MORN repeat containing 5)   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)
Mos (Moloney sarcoma oncogene)   Male and Female 6 22 Liver -28.0 <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)
MPC2 (mitochondrial pyruvate carrier 2) Using a linear mixed model, differential expression with age was identified in MPC2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MPDU1 (mannose-P-dolichol utilization defect 1) Using a linear mixed model, differential expression with age was identified in MPDU1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mpdu1 (mannose-P-dolichol utilization defect 1)   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)
Mpeg1 (macrophage expressed gene 1)   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)
MPST (mercaptopyruvate sulfurtransferase) Using a linear mixed model, differential expression with age was identified in MPST 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)
MPZL1 (myelin protein zero-like 1) Using a linear mixed model, differential expression with age was identified in MPZL1 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)
MPZL2 (myelin protein zero-like 2) Using a linear mixed model, differential expression with age was identified in MPZL2 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)
MR1 (major histocompatibility complex, class I-related) Gene expression showed a significant (p<0.01) increase in the expression of hippocampus MR1 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Hippocampus 46.64 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)
MR1 (major histocompatibility complex, class I-related) Gene expression showed a significant (p<0.01) increase in the expression of frontal lobe MR1 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 22.37 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)
MR1 (major histocompatibility complex, class I-related) Gene expression showed a significant (p<0.01) increase in the expression of frontal lobe MR1 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 32.21 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)
MRFAP1L1 (Morf4 family associated protein 1-like 1) Using a linear mixed model, differential expression with age was identified in MRFAP1L1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mrgpra4 (MAS-related GPR, member A4)   Male and Female 5 22 Brain -92.0 <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)
MRI1 (methylthioribose-1-phosphate isomerase 1) Using a linear mixed model, differential expression with age was identified in MRI1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mrp63 (mitochondrial ribosomal protein 63)   Male and Female 5 30 Anatomical System -27.0 <0.001 2926: Lee et al. (2000) “Gene-expression profile of the ageing brain in mice.” Nat. Genet. 25(3):294-297 (10888876)
MRPL11 (mitochondrial ribosomal protein L11) Using a linear mixed model, differential expression with age was identified in MRPL11 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MRPL12 (mitochondrial ribosomal protein L12)   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)
MRPL14 (mitochondrial ribosomal protein L14) Using a linear mixed model, differential expression with age was identified in MRPL14 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MRPL18 (mitochondrial ribosomal protein L18)   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)
MRPL27 (mitochondrial ribosomal protein L27) Using a linear mixed model, differential expression with age was identified in MRPL27 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MRPL33 (mitochondrial ribosomal protein L33)   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)
MRPL37 (mitochondrial ribosomal protein L37) Using a linear mixed model, differential expression with age was identified in MRPL37 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MRPL41 (mitochondrial ribosomal protein L41) Using a linear mixed model, differential expression with age was identified in MRPL41 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MRPL41 (mitochondrial ribosomal protein L41)   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)
MRPL43 (mitochondrial ribosomal protein L43) Gene expression showed a significant (p<E-3) increase in the expression of MRPL43 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 151.0 <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)
MRPL48 (mitochondrial ribosomal protein L48)   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)
MRPL51 (mitochondrial ribosomal protein L51) Using a linear mixed model, differential expression with age was identified in MRPL51 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MRPL53 (mitochondrial ribosomal protein L53) Using a linear mixed model, differential expression with age was identified in MRPL53 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MRPL55 (mitochondrial ribosomal protein L55) 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 MRPL55 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)
MRPS11 (mitochondrial ribosomal protein S11) Using a linear mixed model, differential expression with age was identified in MRPS11 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MRPS12 (mitochondrial ribosomal protein S12) Using a linear mixed model, differential expression with age was identified in MRPS12 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MRPS12 (mitochondrial ribosomal protein S12)   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)
Mrps12 (mitochondrial ribosomal protein S12)   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)
MRPS15 (mitochondrial ribosomal protein S15) Using a linear mixed model, differential expression with age was identified in MRPS15 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MRPS15 (mitochondrial ribosomal protein S15)   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)
MRPS22 (mitochondrial ribosomal protein S22)   Male and Female 20 75 Skeletal Muscle -1.0 <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)
Mrps23 (mitochondrial ribosomal protein S23)   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)
MRPS24 (mitochondrial ribosomal protein S24) Using a linear mixed model, differential expression with age was identified in MRPS24 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MRPS24 (mitochondrial ribosomal protein S24)   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)
MRPS25 (mitochondrial ribosomal protein S25) Using a linear mixed model, differential expression with age was identified in MRPS25 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MRPS30 (mitochondrial ribosomal protein S30)   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)
MRPS7 (mitochondrial ribosomal protein S7)   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)
MS4A6A (membrane-spanning 4-domains, subfamily A, member 6A) Using a linear mixed model, differential expression with age was identified in MS4A6A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MS4A7 (membrane-spanning 4-domains, subfamily A, member 7) Using a linear mixed model, differential expression with age was identified in MS4A7 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MSC (musculin) Using a linear mixed model, differential expression with age was identified in MSC in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Msl2 (Male-specific lethal 2 homolog (Drosophila))   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)
MSMO1 (methylsterol monooxygenase 1) Using a linear mixed model, differential expression with age was identified in MSMO1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MSRA (methionine sulfoxide reductase A) Using a linear mixed model, differential expression with age was identified in MSRA in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MSRB1 (methionine sulfoxide reductase B1) Using a linear mixed model, differential expression with age was identified in MSRB1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MSRB2 (methionine sulfoxide reductase B2) 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 MSRB2 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)
MST1R (macrophage stimulating 1 receptor (c-met-related tyrosine kinase)) Using a linear mixed model, differential expression with age was identified in MST1R in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MSX1 (msh homeobox 1) Using a linear mixed model, differential expression with age was identified in MSX1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MT1E (metallothionein 1E)   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)
MT1G (metallothionein 1G) Using a linear mixed model, differential expression with age was identified in MT1G in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MT2A (metallothionein 2A)   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)
Mtap (methylthioadenosine phosphorylase)   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)
Mthfd1 (methylenetetrahydrofolate dehydrogenase (NADP+ dependent), methenyltetrahydrofolate cyclohydrolase, )   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)
Mtm1 (X-linked myotubular myopathy gene 1)   Male and Female 5 25 Skeletal Muscle -14.0 <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)
MTMR10 (myotubularin related protein 10) Using a linear mixed model, differential expression with age was identified in MTMR10 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MTMR14 (myotubularin related protein 14) Using a linear mixed model, differential expression with age was identified in MTMR14 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)
MTOR (mechanistic target of rapamycin (serine/threonine kinase))   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)
MTR (5-methyltetrahydrofolate-homocysteine methyltransferase) Using a linear mixed model, differential expression with age was identified in MTR in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MTSS1 (metastasis suppressor 1) Using a linear mixed model, differential expression with age was identified in MTSS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MTSS1 (metastasis suppressor 1) Comparison of DNA methylation showed a significantly decreased methylation level of MTSS1 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)
MTX2 (metaxin 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)
MUC1 (mucin 1, cell surface associated) Using a linear mixed model, differential expression with age was identified in MUC1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MUC7 (mucin 7, secreted) Using a linear mixed model, differential expression with age was identified in MUC7 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MUL1 (mitochondrial E3 ubiquitin protein ligase 1) Using a linear mixed model, differential expression with age was identified in MUL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MUSK (muscle, skeletal, receptor tyrosine kinase) Using a linear mixed model, differential expression with age was identified in MUSK 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)
MVD (mevalonate (diphospho) decarboxylase) Using a linear mixed model, differential expression with age was identified in MVD in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MVK (mevalonate kinase) Using a linear mixed model, differential expression with age was identified in MVK in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Mxi1 (Max interacting protein 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)
MXRA5 (matrix-remodelling associated 5) Using a linear mixed model, differential expression with age was identified in MXRA5 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)
Mybph (myosin binding protein H)   Male and Female 5 25 Skeletal Muscle 37.0 <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)
MYD88 (myeloid differentiation primary response 88) Gene expression showed a significant (p<0.01) increase in the expression of hippocampus MYD88 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Hippocampus 59.28 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)
MYD88 (myeloid differentiation primary response 88) Gene expression showed a significant (p<0.01) increase in the expression of parietal lobe MYD88 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 54.79 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)
MYD88 (myeloid differentiation primary response 88) Gene expression showed a significant (p<0.01) increase in the expression of frontal lobe MYD88 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 58.67 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)
MYH11 (myosin, heavy chain 11, smooth muscle) Using a linear mixed model, differential expression with age was identified in MYH11 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MYH15 (myosin, heavy chain 15) Using a linear mixed model, differential expression with age was identified in MYH15 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MYH8 (myosin, heavy chain 8, skeletal muscle, perinatal)   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)
MYL12A (myosin, light chain 12A, regulatory, non-sarcomeric) Using a linear mixed model, differential expression with age was identified in MYL12A 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)
MYL4 (myosin, light chain 4, alkali; atrial, embryonic) 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 MYL4 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)
Myl6 (myosin, light polypeptide 6, alkali, smooth muscle and non-muscle)   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)
Myl9 (myosin, light polypeptide 9, regulatory)   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)
Mylk (myosin, light polypeptide kinase)   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)
MYO10 (myosin X)   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)
MYO3A (myosin IIIA) 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 MYO3A 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)
MYO6 (myosin VI)   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)
MYOC (myocilin, trabecular meshwork inducible glucocorticoid response) Using a linear mixed model, differential expression with age was identified in MYOC in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MYOD1 (myogenic differentiation 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)
MYOD1 (myogenic differentiation 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)
MYOD1 (myogenic differentiation 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)
MYOD1 (myogenic differentiation 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)
MYOF (myoferlin) Using a linear mixed model, differential expression with age was identified in MYOF in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MYOM2 (myomesin (M-protein) 2, 165kDa) Using a linear mixed model, differential expression with age was identified in MYOM2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MYOM2 (myomesin (M-protein) 2, 165kDa)   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)
MYOM3 (myomesin 3) Using a linear mixed model, differential expression with age was identified in MYOM3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
MYOT (myotilin) Using a linear mixed model, differential expression with age was identified in MYOT in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Myoz1 (myozenin 1)   Male and Female 5 25 Skeletal Muscle -1.0 <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)
N4BP2L1 (NEDD4 binding protein 2-like 1) Using a linear mixed model, differential expression with age was identified in N4BP2L1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NAB1 (NGFI-A binding protein 1 (EGR1 binding protein 1)) Gene expression showed a significant (p<E-3) decrease in the expression of NAB1 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 -47.92 <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)
NAP1L4 (nucleosome assembly protein 1-like 4) Using a linear mixed model, differential expression with age was identified in NAP1L4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NAPA (N-ethylMaleimide-sensitive factor attachment protein, alpha)   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)
NAPG (N-ethylMaleimide-sensitive factor attachment protein, gamma)   Male and Female 26 106 Brain -23.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
NAPSB (napsin B aspartic peptidase, pseudogene) Using a linear mixed model, differential expression with age was identified in NAPSB in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Narf (nuclear prelamin A recognition factor)   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)
NARS2 (asparaginyl-tRNA synthetase 2, mitochondrial (putative)) Using a linear mixed model, differential expression with age was identified in NARS2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Nat15 (N-acetyltransferase 15 (GCN5-related, putative))   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)
NAT9 (N-acetyltransferase 9 (GCN5-related, putative)) Using a linear mixed model, differential expression with age was identified in NAT9 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Nav1 (neuron navigator 1)   Male and Female 3 23 Hematological System 25.0 <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)
Nbea (neurobeachin)   Male and Female 8 24 Muscle 10.0 <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)
NBEAL2 (neurobeachin-like 2) Using a linear mixed model, differential expression with age was identified in NBEAL2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NBPF10 (neuroblastoma breakpoint family, member 10)   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)
NCALD (neurocalcin delta)   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)
Ncald (neurocalcin delta)   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)
NCAM2 (neural cell adhesion molecule 2) Using a linear mixed model, differential expression with age was identified in NCAM2 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)
NCAPG (non-SMC condensin I complex, subunit G) Using a linear mixed model, differential expression with age was identified in NCAPG in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NCF1C (neutrophil cytosolic factor 1C pseudogene)   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)
NCF4 (neutrophil cytosolic factor 4, 40kDa) Using a linear mixed model, differential expression with age was identified in NCF4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NCOA6 (nuclear receptor coactivator 6) Using a linear mixed model, differential expression with age was identified in NCOA6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NCOR2 (nuclear receptor corepressor 2) Using a linear mixed model, differential expression with age was identified in NCOR2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NCOR2 (nuclear receptor corepressor 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 NCOR2 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)
NCRNA00116 (non-protein coding RNA 116)   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)
NCS1 (neuronal calcium sensor 1) Using a linear mixed model, differential expression with age was identified in NCS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Ndc80 (NDC80 homolog, kinetochore complex component (S. cerevisiae))   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)
NDP (Norrie disease (pseudoglioma))   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)
NDUFA10 (NADH dehydrogenase (ubiquinone) 1 alpha subcomplex, 10, 42kDa)   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)
NDUFA11 (NADH dehydrogenase (ubiquinone) 1 alpha subcomplex, 11, 14.7kDa) Using a linear mixed model, differential expression with age was identified in NDUFA11 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NDUFA12 (NADH dehydrogenase (ubiquinone) 1 alpha subcomplex, 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)
NDUFA8 (NADH dehydrogenase (ubiquinone) 1 alpha subcomplex, 8, 19kDa) Using a linear mixed model, differential expression with age was identified in NDUFA8 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NDUFA9 (NADH dehydrogenase (ubiquinone) 1 alpha subcomplex, 9, 39kDa)   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)
NDUFAF3 (NADH dehydrogenase (ubiquinone) complex I, assembly factor 3) Using a linear mixed model, differential expression with age was identified in NDUFAF3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NDUFAF5 (NADH dehydrogenase (ubiquinone) complex I, assembly factor 5) Using a linear mixed model, differential expression with age was identified in NDUFAF5 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)
NDUFAF7 (NADH dehydrogenase (ubiquinone) complex I, assembly factor 7) Using a linear mixed model, differential expression with age was identified in NDUFAF7 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NDUFB11 (NADH dehydrogenase (ubiquinone) 1 beta subcomplex, 11, 17.3kDa) Using a linear mixed model, differential expression with age was identified in NDUFB11 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NDUFB2 (NADH dehydrogenase (ubiquinone) 1 beta subcomplex, 2, 8kDa) Using a linear mixed model, differential expression with age was identified in NDUFB2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NDUFB3 (NADH dehydrogenase (ubiquinone) 1 beta subcomplex, 3, 12kDa)   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)
Ndufb4 (NADH dehydrogenase (ubiquinone) 1 beta subcomplex 4)   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)
NDUFB4 (NADH dehydrogenase (ubiquinone) 1 beta subcomplex, 4, 15kDa)   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)
Ndufb5 (NADH dehydrogenase (ubiquinone) 1 beta subcomplex, 5)   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)
Ndufc1 (NADH dehydrogenase (ubiquinone) 1, subcomplex unknown, 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)
NDUFC1 (NADH dehydrogenase (ubiquinone) 1, subcomplex unknown, 1, 6kDa)   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)
NDUFS5 (NADH dehydrogenase (ubiquinone) Fe-S protein 5, 15kDa (NADH-coenzyme Q reductase)) 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 NDUFS5 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)
NDUFV2 (NADH dehydrogenase (ubiquinone) flavoprotein 2, 24kDa)   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)
NEDD1 (neural precursor cell expressed, developmentally down-regulated 1)   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)
NEFH (neurofilament, heavy polypeptide) 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 NEFH 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)
Neil1 (nei endonuclease VIII-like 1 (E. coli))   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)
NEK11 (NIMA-related kinase 11) Using a linear mixed model, differential expression with age was identified in NEK11 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NEK3 (NIMA-related kinase 3) Using a linear mixed model, differential expression with age was identified in NEK3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Nek7 (NIMA (never in mitosis gene a)-related expressed kinase 7)   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)
NEK7 (NIMA (never in mitosis gene a)-related kinase 7)   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)
NETO2 (neuropilin (NRP) and tolloid (TLL)-like 2) Using a linear mixed model, differential expression with age was identified in NETO2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Neto2 (neuropilin (NRP) and tolloid (TLL)-like 2)   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)
NEU3 (sialidase 3 (membrane sialidase))   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)
NEXN (nexilin (F actin binding protein)) Using a linear mixed model, differential expression with age was identified in NEXN in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NFAT5 (nuclear factor of activated T-cells 5, tonicity-responsive) Using a linear mixed model, differential expression with age was identified in NFAT5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NFKBIZ (nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, zeta) Using a linear mixed model, differential expression with age was identified in NFKBIZ in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Nfs1 (nitrogen fixation gene 1 (S. cerevisiae))   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)
NGEF (neuronal guanine nucleotide exchange factor) Using a linear mixed model, differential expression with age was identified in NGEF in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NGF (nerve growth factor (beta polypeptide)) Comparison of DNA methylation showed a significantly decreased methylation level of NGFB 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 -22.5 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
NGF (nerve growth factor (beta polypeptide)) Comparison of DNA methylation showed a significantly increased methylation level of NGF 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 19.3 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
NHLRC1 (NHL repeat containing E3 ubiquitin protein ligase 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 NHLRC1 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)
NIF3L1 (NIF3 NGG1 interacting factor 3-like 1 (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in NIF3L1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NIPA2 (non imprinted in Prader-Willi/Angelman syndrome 2) Using a linear mixed model, differential expression with age was identified in NIPA2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NIPBL (Nipped-B homolog (Drosophila)) Using a linear mixed model, differential expression with age was identified in NIPBL in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NISCH (nischarin) Using a linear mixed model, differential expression with age was identified in NISCH in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Nisch (nischarin)   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)
Nit2 (nitrilase family, 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)
NKD2 (naked cuticle homolog 2 (Drosophila)) Using a linear mixed model, differential expression with age was identified in NKD2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Nktr (natural killer tumor recognition sequence)   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)
NKTR (natural killer-tumor recognition sequence) Using a linear mixed model, differential expression with age was identified in NKTR in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NKTR (natural killer-tumor recognition sequence) Gene expression showed a significant (p<E-3) decrease in the expression of NKTR 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 -37.5 <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)
NKX2-2 (NK2 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 hypermethylation of NKX2-2 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)
NKX2-2 (NK2 homeobox 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)
NLRP1 (NLR family, pyrin domain containing 1) Using a linear mixed model, differential expression with age was identified in NLRP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NLRP1 (NLR family, pyrin domain containing 1) Gene expression showed a significant (p<0.01) decrease in the expression of frontal lobe NLRP1 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 -29.44 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)
NLRP1 (NLR family, pyrin domain containing 1) Gene expression showed a significant (p<0.01) decrease in the expression of parietal lobe NLRP1 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 -24.82 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)
NMB (neuromedin B) Using a linear mixed model, differential expression with age was identified in NMB in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NME3 (NME/NM23 nucleoside diphosphate kinase 3) Using a linear mixed model, differential expression with age was identified in NME3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NME6 (NME/NM23 nucleoside diphosphate kinase 6) Using a linear mixed model, differential expression with age was identified in NME6 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)
NME8 (NME/NM23 family member 8) Using a linear mixed model, differential expression with age was identified in NME8 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Nmnat2 (nicotinamide nucleotide adenylyltransferase 2)   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)
NMNAT3 (nicotinamide nucleotide adenylyltransferase 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)
NMRK1 (nicotinamide riboside kinase 1) Using a linear mixed model, differential expression with age was identified in NMRK1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NMT2 (N-myristoyltransferase 2) Using a linear mixed model, differential expression with age was identified in NMT2 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)
NNMT (nicotinamide N-methyltransferase) Using a linear mixed model, differential expression with age was identified in NNMT in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NNMT (nicotinamide N-methyltransferase)   Male and Female 20 75 Skeletal Muscle 17.0 <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)
NNMT (nicotinamide N-methyltransferase)   Male and Female 27 92 Kidney 40.0 <0.001 2993: Rodwell et al. (2004) “A transcriptional profile of aging in the human kidney.” PLoS Biol. 2(12):e427 (15562319)
NNT (nicotinamide nucleotide transhydrogenase)   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)
NOD2 (nucleotide-binding oligomerization 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 NOD2 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)
NOL12 (nucleolar protein 12) Using a linear mixed model, differential expression with age was identified in NOL12 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NOL3 (nucleolar protein 3 (apoptosis repressor with CARD domain)) Using a linear mixed model, differential expression with age was identified in NOL3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NOLC1 (nucleolar and coiled-body phosphoprotein 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)
NOP10 (NOP10 ribonucleoprotein) Using a linear mixed model, differential expression with age was identified in NOP10 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NOP58 (NOP58 ribonucleoprotein) Using a linear mixed model, differential expression with age was identified in NOP58 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NOTCH3 (notch 3) Using a linear mixed model, differential expression with age was identified in NOTCH3 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)
NOXA1 (NADPH oxidase activator 1) Using a linear mixed model, differential expression with age was identified in NOXA1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NPAS2 (neuronal PAS domain protein 2) Using a linear mixed model, differential expression with age was identified in NPAS2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NPC2 (Niemann-Pick disease, type C2) Using a linear mixed model, differential expression with age was identified in NPC2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NPDC1 (neural proliferation, differentiation and control, 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 NPDC1 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)
NPEPL1 (aminopeptidase-like 1) Using a linear mixed model, differential expression with age was identified in NPEPL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NPL (N-acetylneuraminate pyruvate lyase (dihydrodipicolinate synthase)) Using a linear mixed model, differential expression with age was identified in NPL in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NPM3 (nucleophosmin/nucleoplasmin 3) Using a linear mixed model, differential expression with age was identified in NPM3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NPM3 (nucleophosmin/nucleoplasmin 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 NPM3 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)
NPR2 (natriuretic peptide receptor 2) Using a linear mixed model, differential expression with age was identified in NPR2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NPR3 (natriuretic peptide receptor 3) Using a linear mixed model, differential expression with age was identified in NPR3 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)
Nptn (neuroplastin)   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)
Npy (neuropeptide Y)   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)
NR1D2 (nuclear receptor subfamily 1, group D, member 2) Using a linear mixed model, differential expression with age was identified in NR1D2 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)
NR1H2 (nuclear receptor subfamily 1, group H, member 2) Gene expression showed a significant (p<E-3) increase in the expression of NR1H2 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 77.0 <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)
NR2C2AP (nuclear receptor 2C2-associated protein) Using a linear mixed model, differential expression with age was identified in NR2C2AP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NR2E1 (nuclear receptor subfamily 2, group E, 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 NR2E1 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)
NR2F6 (nuclear receptor subfamily 2, group F, member 6) Using a linear mixed model, differential expression with age was identified in NR2F6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NRBP2 (nuclear receptor binding protein 2) Using a linear mixed model, differential expression with age was identified in NRBP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NRG2 (neuregulin 2) Using a linear mixed model, differential expression with age was identified in NRG2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NRGN (neurogranin (protein kinase C substrate, RC3))   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)
Nrp1 (neuropilin 1)   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)
NRROS (negative regulator of reactive oxygen species) Using a linear mixed model, differential expression with age was identified in NRROS in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NRXN1 (neurexin 1)   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)
NSDHL (NAD(P) dependent steroid dehydrogenase-like) Using a linear mixed model, differential expression with age was identified in NSDHL in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NSF (N-ethylMaleimide-sensitive factor)   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)
NSMCE4A (non-SMC element 4 homolog A (S. cerevisiae)) Using a linear mixed model, differential expression with age was identified in NSMCE4A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Nsmce4a (non-SMC element 4 homolog A (S. cerevisiae))   Male and Female 5 25 Skeletal Muscle -6.0 <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)
NSUN7 (NOP2/Sun domain family, member 7) Using a linear mixed model, differential expression with age was identified in NSUN7 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NT5C2 (5′-nucleotidase, cytosolic II)   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)
Ntf3 (neurotrophin 3)   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)
NTF4 (neurotrophin 4) Using a linear mixed model, differential expression with age was identified in NTF4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NTM (neurotrimin) Using a linear mixed model, differential expression with age was identified in NTM in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NTN5 (netrin 5) Using a linear mixed model, differential expression with age was identified in NTN5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NTRK3 (neurotrophic tyrosine kinase, receptor, type 3) Using a linear mixed model, differential expression with age was identified in NTRK3 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)
NTSR2 (neurotensin receptor 2)   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)
Nucks1 (nuclear casein kinase and cyclin-dependent kinase substrate 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)
NUDT21 (nudix (nucleoside diphosphate linked moiety X)-type motif 21)   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)
NUFIP1 (nuclear fragile X mental retardation protein interacting protein 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)
NUP205 (nucleoporin 205kDa) Using a linear mixed model, differential expression with age was identified in NUP205 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NUP85 (nucleoporin 85kDa) Using a linear mixed model, differential expression with age was identified in NUP85 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NUPL2 (nucleoporin like 2) Gene expression showed a significant (p<E-3) increase in the expression of NUPL2 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 59.0 <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)
NXF1 (nuclear RNA export factor 1) Using a linear mixed model, differential expression with age was identified in NXF1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NXPE2 (neurexophilin and PC-esterase domain family, member 2) Using a linear mixed model, differential expression with age was identified in NXPE2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
NXT2 (nuclear transport factor 2-like export factor 2)   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)
OAF (OAF homolog (Drosophila)) Using a linear mixed model, differential expression with age was identified in OAF in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
OAS1 (2′-5′-oligoadenylate synthetase 1, 40/46kDa) Using a linear mixed model, differential expression with age was identified in OAS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
OAZ1 (ornithine decarboxylase antizyme 1) Using a linear mixed model, differential expression with age was identified in OAZ1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
OAZ1 (ornithine decarboxylase antizyme 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)
OCA2 (oculocutaneous albinism II) Using a linear mixed model, differential expression with age was identified in OCA2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
OCEL1 (occludin/ELL domain containing 1) Using a linear mixed model, differential expression with age was identified in OCEL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
OGT (O-linked N-acetylglucosamine (GlcNAc) transferase) Using a linear mixed model, differential expression with age was identified in OGT in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
OLAH (oleoyl-ACP hydrolase) Using a linear mixed model, differential expression with age was identified in OLAH in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
OLFM1 (olfactomedin 1)   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)
OLFM2 (olfactomedin 2) Using a linear mixed model, differential expression with age was identified in OLFM2 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)
OLFML1 (olfactomedin-like 1) Using a linear mixed model, differential expression with age was identified in OLFML1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
OLFML2B (olfactomedin-like 2B) Using a linear mixed model, differential expression with age was identified in OLFML2B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
OLFML3 (olfactomedin-like 3) Using a linear mixed model, differential expression with age was identified in OLFML3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
OLIG2 (oligodendrocyte lineage transcription factor 2)   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)
OMD (osteomodulin) Using a linear mixed model, differential expression with age was identified in OMD in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
OR2B6 (olfactory receptor, family 2, subfamily B, member 6) 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 OR2B6 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)
OR2H2 (olfactory receptor, family 2, subfamily H, member 2)   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)
OR5V1 (olfactory receptor, family 5, subfamily V, member 1) Comparison of DNA methylation showed a significantly increased methylation level of OR5V1 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 15.3 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
ORC2 (origin recognition complex, subunit 2) Using a linear mixed model, differential expression with age was identified in ORC2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
ORC4L (origin recognition complex, subunit 4-like (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)
Orc6l (origin recognition complex, subunit 6-like (S. cerevisiae))   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)
ORMDL1 (ORMDL sphingolipid biosynthesis regulator 1) Using a linear mixed model, differential expression with age was identified in ORMDL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
OSBP (oxysterol binding protein)   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)
OSER1 (oxidative stress responsive serine-rich 1) Using a linear mixed model, differential expression with age was identified in OSER1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Osmr (oncostatin M receptor)   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)
OSTF1 (osteoclast stimulating factor 1)   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)
OTUB2 (OTU deubiquitinase, ubiquitin aldehyde binding 2) Using a linear mixed model, differential expression with age was identified in OTUB2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Ovca2 (candidate tumor suppressor in ovarian cancer 2)   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)
OVGP1 (oviductal glycoprotein 1, 120kDa) Using a linear mixed model, differential expression with age was identified in OVGP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
OXER1 (oxoeicosanoid (OXE) receptor 1) Using a linear mixed model, differential expression with age was identified in OXER1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
OXT (oxytocin/neurophysin I prepropeptide) Using a linear mixed model, differential expression with age was identified in OXT 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)
OXT (oxytocin/neurophysin I prepropeptide) Using a linear mixed model, differential expression with age was identified in OXT in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Oxtr (oxytocin receptor)   Male and Female 4 15 Cochlea 19.0 <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)
P2RX2 (purinergic receptor P2X, ligand-gated ion channel, 2) Using a linear mixed model, differential expression with age was identified in P2RX2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
P2RX7 (purinergic receptor P2X, ligand-gated ion channel, 7) Using a linear mixed model, differential expression with age was identified in P2RX7 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
P4HA1 (prolyl 4-hydroxylase, alpha polypeptide I) Using a linear mixed model, differential expression with age was identified in P4HA1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
P4HA2 (prolyl 4-hydroxylase, alpha polypeptide II) Using a linear mixed model, differential expression with age was identified in P4HA2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
P4HA2 (prolyl 4-hydroxylase, alpha polypeptide II) Using a linear mixed model, differential expression with age was identified in P4HA2 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)
PABPN1 (poly(A) binding protein, nuclear 1) Using a linear mixed model, differential expression with age was identified in PABPN1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PADI3 (peptidyl arginine deiminase, type III) Using a linear mixed model, differential expression with age was identified in PADI3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PADI4 (peptidyl arginine deiminase, type IV) Using a linear mixed model, differential expression with age was identified in PADI4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PAFAH2 (platelet-activating factor acetylhydrolase 2, 40kDa) Using a linear mixed model, differential expression with age was identified in PAFAH2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PAK1 (p21 protein (Cdc42/Rac)-activated kinase 1)   Male and Female 26 106 Brain -23.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
PAK6 (p21 protein (Cdc42/Rac)-activated kinase 6) Using a linear mixed model, differential expression with age was identified in PAK6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PAK7 (p21 protein (Cdc42/Rac)-activated kinase 7) Using a linear mixed model, differential expression with age was identified in PAK7 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PAN2 (PAN2 poly(A) specific ribonuclease subunit) Using a linear mixed model, differential expression with age was identified in PAN2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PANK1 (pantothenate kinase 1) Using a linear mixed model, differential expression with age was identified in PANK1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Panx1 (pannexin 1)   Male and Female 8 24 Muscle 28.0 <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)
PANX1 (pannexin 1) Gene expression showed a significant (p<0.01) decrease in the expression of frontal lobe PANX1 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 -59.93 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)
PANX1 (pannexin 1) Gene expression showed a significant (p<0.01) decrease in the expression of parietal lobe PANX1 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 -50.03 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)
PANX1 (pannexin 1) Gene expression showed a significant (p<0.01) decrease in the expression of temporal lobe PANX1 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 -41.63 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)
PANX2 (pannexin 2) Using a linear mixed model, differential expression with age was identified in PANX2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PANX2 (pannexin 2) Gene expression showed a significant (p<0.01) decrease in the expression of hippocampus PANX3 from elderly (aged 69-99 years old) compared to cells from younger persons (aged 20-52 years old) Male and Female 20 99 Hippocampus -19.05 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)
PANX2 (pannexin 2) Gene expression showed a significant (p<0.01) decrease in the expression of temporal lobe PANX4 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 -16.54 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)
PANX2 (pannexin 2) Gene expression showed a significant (p<0.01) decrease in the expression of frontal lobe PANX2 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 -8.11 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)
PAPLN (papilin, proteoglycan-like sulfated glycoprotein) Using a linear mixed model, differential expression with age was identified in PAPLN in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PAQR6 (progestin and adipoQ receptor family member VI) Using a linear mixed model, differential expression with age was identified in PAQR6 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Pard6a (par-6 (partitioning defective 6,) homolog alpha (C. elegans))   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)
PARM1 (prostate androgen-regulated mucin-like protein 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)
PARP1 (poly (ADP-ribose) polymerase 1) In human pelvic skin samples obtained from patients aged between 15-77 and newborn babies (0-1 year old) PARP activity significantly increased with age in Males and inversely correlated with tissue NAD(+) levels. These associations were less evident in Females. Male and Female 0 77 Skin     2933: Massudi et al. (2012) “Age-associated changes in oxidative stress and NAD+ metabolism in human tissue.” PLoS ONE 7(7):e42357 (22848760)
PARP14 (poly (ADP-ribose) polymerase family, member 14) Using a linear mixed model, differential expression with age was identified in PARP14 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PARP2 (poly (ADP-ribose) polymerase 2) Using a linear mixed model, differential expression with age was identified in PARP2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PARP3 (poly (ADP-ribose) polymerase family, 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 hypomethylation of PARP3 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)
PARVB (parvin, beta) Using a linear mixed model, differential expression with age was identified in PARVB in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PARVG (parvin, gamma)   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)
PAXBP1 (PAX3 and PAX7 binding protein 1) Using a linear mixed model, differential expression with age was identified in PAXBP1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Pbx2 (pre B-cell leukemia transcription factor 2)   Male and Female 6 22 Liver 28.0 <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)
PC (pyruvate carboxylase) Using a linear mixed model, differential expression with age was identified in PC in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PCBD1 (pterin-4 alpha-carbinolamine dehydratase/dimerization cofactor of hepatocyte nuclear factor 1 alpha) Using a linear mixed model, differential expression with age was identified in PCBD1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PCBD2 (pterin-4 alpha-carbinolamine dehydratase/dimerization cofactor of hepatocyte nuclear factor 1 alpha (TCF1) 2) Using a linear mixed model, differential expression with age was identified in PCBD2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PCBP1 (poly(rC) binding protein 1) Gene expression showed a significant (p<E-3) increase in the expression of PCBP1 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 59.0 <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)
PCCB (propionyl CoA carboxylase, beta polypeptide) Using a linear mixed model, differential expression with age was identified in PCCB in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Pcdh12 (protocadherin 12)   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)
PCDH7 (protocadherin 7) Using a linear mixed model, differential expression with age was identified in PCDH7 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PCDH9 (protocadherin 9) 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 PCDH9 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)
PCDHA1 (protocadherin alpha 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 PCDHA1 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)
PCDHA2 (protocadherin alpha 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 PCDHA2 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)
PCDHA3 (protocadherin alpha 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 PCDHA3 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)
PCDHA4 (protocadherin alpha 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 PCDHA4 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)
Pcdhb21 (protocadherin beta 21)   Male and Female 3 23 Hematological System 75.0 <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)
Pcdhb9 (protocadherin beta 9)   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)
PCF11 (PCF11 cleavage and polyadenylation factor subunit) Using a linear mixed model, differential expression with age was identified in PCF11 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PCK2 (phosphoenolpyruvate carboxykinase 2 (mitochondrial)) Using a linear mixed model, differential expression with age was identified in PCK2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PCM1 (pericentriolar material 1) Using a linear mixed model, differential expression with age was identified in PCM1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PCM1 (pericentriolar material 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)
PCMT1 (protein-L-isoaspartate (D-aspartate) O-methyltransferase)   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)
PCNXL4 (pecanex-like 4 (Drosophila)) Using a linear mixed model, differential expression with age was identified in PCNXL4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PCP4 (Purkinje cell protein 4) Using a linear mixed model, differential expression with age was identified in PCP4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Pcp4l1 (Purkinje cell protein 4-like 1)   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)
PCTK1 (PCTAIRE protein kinase 1)   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)
PCTK2 (PCTAIRE protein kinase 2)   Male and Female 26 106 Brain -19.0 <0.001 2742: Lu et al. (2004) “Gene regulation and DNA damage in the ageing human brain.” Nature 429(6994):883-891 (15190254)
PCTP (phosphatidylcholine transfer protein) Using a linear mixed model, differential expression with age was identified in PCTP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PCYOX1 (prenylcysteine oxidase 1) Using a linear mixed model, differential expression with age was identified in PCYOX1 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)
PDCD1LG2 (programmed cell death 1 ligand 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 PDCD1LG2 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)
PDCD4 (programmed cell death 4 (neoplastic transformation inhibitor))   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)
Pdcd4 (programmed cell death 4)   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)
PDCD6 (programmed cell death 6) Gene expression showed a significant (p<E-3) decrease in the expression of PDCD6 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 -60.94 <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)
PDE1B (phosphodiesterase 1B, calmodulin-dependent) Using a linear mixed model, differential expression with age was identified in PDE1B 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)
Pde4b (phosphodiesterase 4B, cAMP specific)   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)
PDE4B (phosphodiesterase 4B, cAMP-specific) Using a linear mixed model, differential expression with age was identified in PDE4B 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)
PDE4C (phosphodiesterase 4C, cAMP-specific) Using a linear mixed model, differential expression with age was identified in PDE4C in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PDE4C (phosphodiesterase 4C, cAMP-specific) 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 PDE4C 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)
PDE4D (phosphodiesterase 4D, cAMP-specific (phosphodiesterase E3 dunce homolog, Drosophila))   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)
PDGFC (platelet derived growth factor C) Using a linear mixed model, differential expression with age was identified in PDGFC in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PDGFRL (platelet-derived growth factor receptor-like) Using a linear mixed model, differential expression with age was identified in PDGFRL in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PDHA1 (pyruvate dehydrogenase (lipoamide) alpha 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)
PDHB (pyruvate dehydrogenase (lipoamide) beta) Using a linear mixed model, differential expression with age was identified in PDHB in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PDHB (pyruvate dehydrogenase (lipoamide) 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)
PDHX (pyruvate dehydrogenase complex, component 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)
Pdk4 (pyruvate dehydrogenase kinase, isoenzyme 4)   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)
PDLIM2 (PDZ and LIM domain 2 (mystique)) Comparison of DNA methylation showed a significantly decreased methylation level of PDLIM2 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 -17.3 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
PDLIM2 (PDZ and LIM domain 2 (mystique)) Comparison of DNA methylation showed a significantly increased methylation level of PDLIM2 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 43.9 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
PDLIM3 (PDZ and LIM domain 3)   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)
PDPN (podoplanin) Using a linear mixed model, differential expression with age was identified in PDPN in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PDXK (pyridoxal (pyridoxine, vitamin B6) kinase) Comparison of DNA methylation showed a significantly increased methylation level of PDXK 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 17.2 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
PDZK1IP1 (PDZK1 interacting protein 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 PDZK1IP1 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)
PDZRN3 (PDZ domain containing ring finger 3)   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)
PECR (peroxisomal trans-2-enoyl-CoA reductase) Using a linear mixed model, differential expression with age was identified in PECR in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Peli1 (pellino 1)   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)
PEPD (peptidase D) Using a linear mixed model, differential expression with age was identified in PEPD in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PER3 (period circadian clock 3) Using a linear mixed model, differential expression with age was identified in PER3 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)
Pes1 (pescadillo homolog 1, containing BRCT domain (zebrafish))   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)
PEX11A (peroxisomal biogenesis factor 11 alpha) Using a linear mixed model, differential expression with age was identified in PEX11A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PEX11B (peroxisomal biogenesis factor 11 beta) Using a linear mixed model, differential expression with age was identified in PEX11B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PEX16 (peroxisomal biogenesis factor 16) Using a linear mixed model, differential expression with age was identified in PEX16 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PFKFB4 (6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 4) Using a linear mixed model, differential expression with age was identified in PFKFB4 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PFN2 (profilin 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)
Pgam2 (phosphoglycerate mutase 2)   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)
PGAM5 (phosphoglycerate mutase family member 5) Using a linear mixed model, differential expression with age was identified in PGAM5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PGBD5 (piggyBac transposable element derived 5) Using a linear mixed model, differential expression with age was identified in PGBD5 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Pgf (placental growth factor)   Male and Female 5 22 Brain -42.0 <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)
PGLS (6-phosphogluconolactonase) Using a linear mixed model, differential expression with age was identified in PGLS in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Pglyrp1 (peptidoglycan recognition protein 1)   Male and Female 2 15 Hippocampus 8.0 <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)
PGM1 (phosphoglucomutase 1) Using a linear mixed model, differential expression with age was identified in PGM1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PGM3 (phosphoglucomutase 3) Using a linear mixed model, differential expression with age was identified in PGM3 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)
PGP (phosphoglycolate phosphatase) Using a linear mixed model, differential expression with age was identified in PGP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PGRMC1 (progesterone receptor membrane component 1) Using a linear mixed model, differential expression with age was identified in PGRMC1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PHACTR3 (phosphatase and actin regulator 3) Using a linear mixed model, differential expression with age was identified in PHACTR3 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)
Phb (prohibitin)   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)
PHF12 (PHD finger protein 12) Using a linear mixed model, differential expression with age was identified in PHF12 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Phf13 (PHD finger protein 13)   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)
Phf16 (PHD finger protein 16)   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)
PHF21A (PHD finger protein 21A) Using a linear mixed model, differential expression with age was identified in PHF21A in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PHF3 (PHD finger protein 3) Gene expression showed a significant (p<E-3) decrease in the expression of PHF3 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 -69.33 <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)
PHF7 (PHD finger protein 7) Using a linear mixed model, differential expression with age was identified in PHF7 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PHLDA2 (pleckstrin homology-like domain, family A, member 2) Using a linear mixed model, differential expression with age was identified in PHLDA2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PHLDB1 (pleckstrin homology-like domain, family B, member 1) Using a linear mixed model, differential expression with age was identified in PHLDB1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Phldb2 (pleckstrin homology-like domain, family B, member 2)   Male and Female 3 23 Hematological System -8.0 <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)
Phpt1 (phosphohistidine phosphatase 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)
PIANP (PILR alpha associated neural protein) Using a linear mixed model, differential expression with age was identified in PIANP in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PIAS1 (protein inhibitor of activated STAT, 1) Using a linear mixed model, differential expression with age was identified in PIAS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PIAS2 (protein inhibitor of activated STAT, 2)   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)
PIAS3 (protein inhibitor of activated STAT, 3) Using a linear mixed model, differential expression with age was identified in PIAS3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PIAS3 (protein inhibitor of activated STAT, 3)   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)
PIEZO2 (piezo-type mechanosensitive ion channel component 2) Using a linear mixed model, differential expression with age was identified in PIEZO2 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)
PIGC (phosphatidylinositol glycan anchor biosynthesis, class C) Using a linear mixed model, differential expression with age was identified in PIGC in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PIGC (phosphatidylinositol glycan anchor biosynthesis, class C)   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)
PIGL (phosphatidylinositol glycan anchor biosynthesis, class L) Using a linear mixed model, differential expression with age was identified in PIGL in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PIGN (phosphatidylinositol glycan anchor biosynthesis, class N) Using a linear mixed model, differential expression with age was identified in PIGN in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PILRB (paired immunoglobin-like type 2 receptor beta) Using a linear mixed model, differential expression with age was identified in PILRB in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PILRB (paired immunoglobin-like type 2 receptor beta)   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)
PIPOX (pipecolic acid oxidase) Comparison of DNA methylation showed a significantly increased methylation level of PIPOX 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 22.8 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
PIPOX (pipecolic acid oxidase) Comparison of DNA methylation showed a significantly increased methylation level of PIPOX 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 32.2 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
PIPOX (pipecolic acid oxidase)   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)
PIPOX (pipecolic acid oxidase)   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)
PIPOX (pipecolic acid oxidase)   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)
PIPOX (pipecolic acid oxidase)   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)
PISD (phosphatidylserine decarboxylase) Using a linear mixed model, differential expression with age was identified in PISD in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Pisd-ps3 (phosphatidylserine decarboxylase, pseudogene 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)
PITPNA (phosphatidylinositol transfer protein, alpha) Gene expression showed a significant (p<E-3) increase in the expression of PITPNA 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 75.0 <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)
PITPNB (phosphatidylinositol transfer protein, beta)   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)
PITPNC1 (phosphatidylinositol transfer protein, cytoplasmic 1) Using a linear mixed model, differential expression with age was identified in PITPNC1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Pitx2 (paired-like homeodomain transcription factor 2)   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)
PIWIL2 (piwi-like RNA-mediated gene silencing 2) Using a linear mixed model, differential expression with age was identified in PIWIL2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PKLR (pyruvate kinase, liver and RBC) Using a linear mixed model, differential expression with age was identified in PKLR in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Pkm2 (pyruvate kinase, muscle)   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)
PKN1 (protein kinase N1) Comparison of DNA methylation showed a significantly increased methylation level of PKN1 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)
PKN1 (protein kinase N1) Comparison of DNA methylation showed a significantly increased methylation level of PKN1 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 27.7 None 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
Pkp2 (plakophilin 2)   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)
PLA1A (phospholipase A1 member A) Using a linear mixed model, differential expression with age was identified in PLA1A 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)
PLA2G12A (phospholipase A2, group XIIA)   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)
PLA2G4B (phospholipase A2, group IVB (cytosolic)) Using a linear mixed model, differential expression with age was identified in PLA2G4B in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PLA2G7 (phospholipase A2, group VII (platelet-activating factor acetylhydrolase, plasma)) Using a linear mixed model, differential expression with age was identified in PLA2G7 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Plac9 (placenta specific 9)   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)
PLAU (plasminogen activator, urokinase) Using a linear mixed model, differential expression with age was identified in PLAU in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PLCH2 (phospholipase C, eta 2) Using a linear mixed model, differential expression with age was identified in PLCH2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PLCL2 (phospholipase C-like 2)   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)
PLD3 (phospholipase D family, member 3) Using a linear mixed model, differential expression with age was identified in PLD3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PLD3 (phospholipase D family, member 3)   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)
PLEK (pleckstrin) Using a linear mixed model, differential expression with age was identified in PLEK in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Plek (pleckstrin)   Male and Female 2 26 Lung 13.0 <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)
PLEK2 (pleckstrin 2) Using a linear mixed model, differential expression with age was identified in PLEK2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PLEKHH3 (pleckstrin homology domain containing, family H (with MyTH4 domain) member 3) Using a linear mixed model, differential expression with age was identified in PLEKHH3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PLEKHS1 (pleckstrin homology domain containing, family S member 1) Using a linear mixed model, differential expression with age was identified in PLEKHS1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PLIN2 (perilipin 2) Using a linear mixed model, differential expression with age was identified in PLIN2 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Plin4 (perilipin 4)   Male and Female 6 22 Liver -29.0 <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)
Plk1s1 (polo-like kinase 1 substrate 1)   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)
PLLP (plasmolipin) Using a linear mixed model, differential expression with age was identified in PLLP 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)
PLOD1 (procollagen-lysine, 2-oxoglutarate 5-dioxygenase 1) Using a linear mixed model, differential expression with age was identified in PLOD1 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)
PLOD2 (procollagen-lysine, 2-oxoglutarate 5-dioxygenase 2)   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)
PLXNA3 (plexin A3) Using a linear mixed model, differential expression with age was identified in PLXNA3 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)
PLXNB1 (plexin B1)   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)
PM20D1 (peptidase M20 domain containing 1) Using a linear mixed model, differential expression with age was identified in PM20D1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PM20D1 (peptidase M20 domain containing 1) Using a linear mixed model, differential expression with age was identified in PM20D1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PMEPA1 (prostate transmembrane protein, androgen induced 1) Comparison of DNA methylation showed a significantly decreased methylation level of PMEPA1 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 -20.8 <0.001 2751: Koch et al. (2011) “Specific age-associated DNA methylation changes in human dermal fibroblasts.” PLoS ONE 6(2):e16679 (21347436)
Pmp22 (peripheral myelin protein 22)   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)
PMP22 (peripheral myelin protein 22)   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)
PMPCA (peptidase (mitochondrial processing) alpha)   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)
PMVK (phosphomevalonate kinase) Using a linear mixed model, differential expression with age was identified in PMVK in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PNCK (pregnancy up-regulated nonubiquitous CaM kinase) Using a linear mixed model, differential expression with age was identified in PNCK in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PNLIPRP3 (pancreatic lipase-related protein 3) Using a linear mixed model, differential expression with age was identified in PNLIPRP3 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PNMAL1 (paraneoplastic Ma antigen family-like 1) Using a linear mixed model, differential expression with age was identified in PNMAL1 in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
PNMAL2 (paraneoplastic Ma antigen family-like 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 PNMAL2 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)
PNN (pinin, desmosome associated protein) Using a linear mixed model, differential expression with age was identified in PNN in skin. Biopsies were taken from relatively photo-protected infra-umbilical skin of Female twins. The linear mixed model was used to examine gene expression variability by age and confounding factors including fixed effect batch and RNA concentration, and random effects as family relationship and zygosity. Female 39 85 Skin     3454: Glass, D et al. (2013) “Gene expression changes with age in skin, adipose tissue, blood and brain.” Genome Biol. 14(7):R75 (23889843)
Pnp (purine-nucleoside phosphorylase)   Male and Female 5 25 Skeletal Muscle 8.0 <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)
PNPLA3 (patatin-like phospholipase domain containing 3) Using a linear mixed model, differential expression with age was identified in PNPLA3 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)

Reference: Digital Aging Atlas
[/raw]