Age-related accrual of methylomic variability is linked to fundamental ageing mechanisms

Background Epigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG sites closely tracks chronological age, DNA methylation changes relevant to biological age are expected to gradually dissociate from chronolog...

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Published inGenome Biology Vol. 17; no. 1; p. 191
Main Authors Slieker, Roderick C., van Iterson, Maarten, Luijk, René, Beekman, Marian, Zhernakova, Daria V., Moed, Matthijs H., Mei, Hailiang, van Galen, Michiel, Deelen, Patrick, Bonder, Marc Jan, Zhernakova, Alexandra, Uitterlinden, André G., Tigchelaar, Ettje F., Stehouwer, Coen D. A., Schalkwijk, Casper G., van der Kallen, Carla J. H., Hofman, Albert, van Heemst, Diana, de Geus, Eco J., van Dongen, Jenny, Deelen, Joris, van den Berg, Leonard H., van Meurs, Joyce, Jansen, Rick, ‘t Hoen, Peter A. C., Franke, Lude, Wijmenga, Cisca, Veldink, Jan H., Swertz, Morris A., van Greevenbroek, Marleen M. J., van Duijn, Cornelia M., Boomsma, Dorret I., Slagboom, P. Eline, Heijmans, Bastiaan T.
Format Journal Article
LanguageEnglish
Published London BioMed Central 22.09.2016
Subjects
Age
Aging
Animal Genetics and Genomics
Apoptosis
Bioinformatics
Biomedical and Life Sciences
Blood
Cancer
CpG islands
Datasets
Deoxyribonucleic acid
DNA
DNA methylation
DNA repair
Enhancers
Epigenetics
Evolutionary Biology
Gene expression
gene expression regulation
Genes
Genomes
genomic islands
Genomics
health status
Human Genetics
humans
Life Sciences
metabolism
Microbial Genetics and Genomics
neoplasms
Plant Genetics and Genomics
Polycomb group proteins
Population
Ribonucleic acid
RNA
sequence analysis
Studies
tissues
DNA methylation
450k
Ageing
DNA damage
Variability
Online AccessGet full text
ISSN1474-760X
1474-7596
1474-760X
DOI10.1186/s13059-016-1053-6

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Abstract Background Epigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG sites closely tracks chronological age, DNA methylation changes relevant to biological age are expected to gradually dissociate from chronological age, mirroring the increased heterogeneity in health status at older ages. Results Here, we report on the large-scale identification of 6366 age-related variably methylated positions (aVMPs) identified in 3295 whole blood DNA methylation profiles, 2044 of which have a matching RNA-seq gene expression profile. aVMPs are enriched at polycomb repressed regions and, accordingly, methylation at those positions is associated with the expression of genes encoding components of polycomb repressive complex 2 (PRC2) in trans . Further analysis revealed trans -associations for 1816 aVMPs with an additional 854 genes. These trans -associated aVMPs are characterized by either an age-related gain of methylation at CpG islands marked by PRC2 or a loss of methylation at enhancers. This distinct pattern extends to other tissues and multiple cancer types. Finally, genes associated with aVMPs in trans whose expression is variably upregulated with age (733 genes) play a key role in DNA repair and apoptosis, whereas downregulated aVMP-associated genes (121 genes) are mapped to defined pathways in cellular metabolism. Conclusions Our results link age-related changes in DNA methylation to fundamental mechanisms that are thought to drive human ageing.
AbstractList Epigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG sites closely tracks chronological age, DNA methylation changes relevant to biological age are expected to gradually dissociate from chronological age, mirroring the increased heterogeneity in health status at older ages. Here, we report on the large-scale identification of 6366 age-related variably methylated positions (aVMPs) identified in 3295 whole blood DNA methylation profiles, 2044 of which have a matching RNA-seq gene expression profile. aVMPs are enriched at polycomb repressed regions and, accordingly, methylation at those positions is associated with the expression of genes encoding components of polycomb repressive complex 2 (PRC2) in trans. Further analysis revealed trans-associations for 1816 aVMPs with an additional 854 genes. These trans-associated aVMPs are characterized by either an age-related gain of methylation at CpG islands marked by PRC2 or a loss of methylation at enhancers. This distinct pattern extends to other tissues and multiple cancer types. Finally, genes associated with aVMPs in trans whose expression is variably upregulated with age (733 genes) play a key role in DNA repair and apoptosis, whereas downregulated aVMP-associated genes (121 genes) are mapped to defined pathways in cellular metabolism. Our results link age-related changes in DNA methylation to fundamental mechanisms that are thought to drive human ageing.
BACKGROUND: Epigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG sites closely tracks chronological age, DNA methylation changes relevant to biological age are expected to gradually dissociate from chronological age, mirroring the increased heterogeneity in health status at older ages. RESULTS: Here, we report on the large-scale identification of 6366 age-related variably methylated positions (aVMPs) identified in 3295 whole blood DNA methylation profiles, 2044 of which have a matching RNA-seq gene expression profile. aVMPs are enriched at polycomb repressed regions and, accordingly, methylation at those positions is associated with the expression of genes encoding components of polycomb repressive complex 2 (PRC2) in trans. Further analysis revealed trans-associations for 1816 aVMPs with an additional 854 genes. These trans-associated aVMPs are characterized by either an age-related gain of methylation at CpG islands marked by PRC2 or a loss of methylation at enhancers. This distinct pattern extends to other tissues and multiple cancer types. Finally, genes associated with aVMPs in trans whose expression is variably upregulated with age (733 genes) play a key role in DNA repair and apoptosis, whereas downregulated aVMP-associated genes (121 genes) are mapped to defined pathways in cellular metabolism. CONCLUSIONS: Our results link age-related changes in DNA methylation to fundamental mechanisms that are thought to drive human ageing.
Background Epigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG sites closely tracks chronological age, DNA methylation changes relevant to biological age are expected to gradually dissociate from chronological age, mirroring the increased heterogeneity in health status at older ages. Results Here, we report on the large-scale identification of 6366 age-related variably methylated positions (aVMPs) identified in 3295 whole blood DNA methylation profiles, 2044 of which have a matching RNA-seq gene expression profile. aVMPs are enriched at polycomb repressed regions and, accordingly, methylation at those positions is associated with the expression of genes encoding components of polycomb repressive complex 2 (PRC2) in trans . Further analysis revealed trans -associations for 1816 aVMPs with an additional 854 genes. These trans -associated aVMPs are characterized by either an age-related gain of methylation at CpG islands marked by PRC2 or a loss of methylation at enhancers. This distinct pattern extends to other tissues and multiple cancer types. Finally, genes associated with aVMPs in trans whose expression is variably upregulated with age (733 genes) play a key role in DNA repair and apoptosis, whereas downregulated aVMP-associated genes (121 genes) are mapped to defined pathways in cellular metabolism. Conclusions Our results link age-related changes in DNA methylation to fundamental mechanisms that are thought to drive human ageing.
Epigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG sites closely tracks chronological age, DNA methylation changes relevant to biological age are expected to gradually dissociate from chronological age, mirroring the increased heterogeneity in health status at older ages.BACKGROUNDEpigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG sites closely tracks chronological age, DNA methylation changes relevant to biological age are expected to gradually dissociate from chronological age, mirroring the increased heterogeneity in health status at older ages.Here, we report on the large-scale identification of 6366 age-related variably methylated positions (aVMPs) identified in 3295 whole blood DNA methylation profiles, 2044 of which have a matching RNA-seq gene expression profile. aVMPs are enriched at polycomb repressed regions and, accordingly, methylation at those positions is associated with the expression of genes encoding components of polycomb repressive complex 2 (PRC2) in trans. Further analysis revealed trans-associations for 1816 aVMPs with an additional 854 genes. These trans-associated aVMPs are characterized by either an age-related gain of methylation at CpG islands marked by PRC2 or a loss of methylation at enhancers. This distinct pattern extends to other tissues and multiple cancer types. Finally, genes associated with aVMPs in trans whose expression is variably upregulated with age (733 genes) play a key role in DNA repair and apoptosis, whereas downregulated aVMP-associated genes (121 genes) are mapped to defined pathways in cellular metabolism.RESULTSHere, we report on the large-scale identification of 6366 age-related variably methylated positions (aVMPs) identified in 3295 whole blood DNA methylation profiles, 2044 of which have a matching RNA-seq gene expression profile. aVMPs are enriched at polycomb repressed regions and, accordingly, methylation at those positions is associated with the expression of genes encoding components of polycomb repressive complex 2 (PRC2) in trans. Further analysis revealed trans-associations for 1816 aVMPs with an additional 854 genes. These trans-associated aVMPs are characterized by either an age-related gain of methylation at CpG islands marked by PRC2 or a loss of methylation at enhancers. This distinct pattern extends to other tissues and multiple cancer types. Finally, genes associated with aVMPs in trans whose expression is variably upregulated with age (733 genes) play a key role in DNA repair and apoptosis, whereas downregulated aVMP-associated genes (121 genes) are mapped to defined pathways in cellular metabolism.Our results link age-related changes in DNA methylation to fundamental mechanisms that are thought to drive human ageing.CONCLUSIONSOur results link age-related changes in DNA methylation to fundamental mechanisms that are thought to drive human ageing.
ArticleNumber 191
Author Wijmenga, Cisca
Veldink, Jan H.
Franke, Lude
Hofman, Albert
de Geus, Eco J.
van Dongen, Jenny
Swertz, Morris A.
van Duijn, Cornelia M.
Slagboom, P. Eline
van Greevenbroek, Marleen M. J.
van Iterson, Maarten
Bonder, Marc Jan
Zhernakova, Daria V.
van Meurs, Joyce
Schalkwijk, Casper G.
Heijmans, Bastiaan T.
van Heemst, Diana
Deelen, Joris
Luijk, René
Tigchelaar, Ettje F.
Mei, Hailiang
Jansen, Rick
Slieker, Roderick C.
van der Kallen, Carla J. H.
van Galen, Michiel
Stehouwer, Coen D. A.
Uitterlinden, André G.
Boomsma, Dorret I.
Deelen, Patrick
Beekman, Marian
van den Berg, Leonard H.
t Hoen, Peter A. C.
Zhernakova, Alexandra
Moed, Matthijs H.
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/27654999$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1093/bioinformatics/btu049
10.1016/j.devcel.2010.10.005
10.1093/jmcb/mjv050
10.1101/gr.096826.109
10.1371/journal.pone.0017487
10.4161/epi.23470
10.1093/bioinformatics/btu566
10.1093/biostatistics/kxr054
10.1111/j.1365-2362.2010.02418.x
10.1093/bioinformatics/btu654
10.1038/ncomms11115
10.1002/bies.201200148
10.1101/gr.1239303
10.1093/hmg/ddt531
10.18632/aging.100391
10.1136/bmjopen-2014-006772
10.1186/1756-8935-6-26
10.1016/j.molcel.2012.10.016
10.1038/nm.3733
10.1111/j.1532-5415.2009.02381.x
10.1186/s13059-014-0503-2
10.1101/gr.092759.109
10.2307/1911963
10.1016/j.cell.2013.05.039
10.1186/s13059-015-0644-y
10.1101/033217
10.1101/gr.103606.109
10.1073/pnas.1120658109
10.1038/nature05862
10.1038/nrm4048
10.1038/ncomms9570
10.1375/136905202320906174
10.1007/s10654-015-0082-x
10.14806/ej.17.1.200
10.1016/j.cell.2005.01.027
10.1186/gb-2014-15-2-r31
10.1038/nature11247
10.1093/hmg/ddt511
10.4161/epi.29315
10.1101/033084
10.1093/bioinformatics/bts635
10.1038/ng.2394
10.1038/nature14248
10.1038/srep13107
10.1038/nature07216
10.1186/gb-2013-14-10-r115
10.1038/ncomms6366
10.1371/journal.pone.0021800
10.1111/j.1474-9726.2012.00835.x
10.1186/gb-2014-15-2-r29
10.1093/nar/gku1057
10.1038/nature08980
10.1093/bioinformatics/btr323
10.1093/biostatistics/kxj037
10.1186/s12864-015-1381-z
10.1016/j.ccr.2011.09.012
10.1093/nar/gks1193
10.1093/hmg/ddq561
10.1101/gr.169011.113
10.1186/gb-2013-14-9-r102
10.1186/1471-2105-13-86
10.1007/978-0-387-98141-3
10.1007/s11357-014-9648-x
10.1111/acel.12005
10.1093/carcin/bgt391
10.1101/gr.103101.109
10.1136/jnnp.2011.244939
10.1186/s13059-014-0465-4
10.1089/omi.2011.0118
10.1038/nrg2341
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Issue 1
Keywords DNA methylation
450k
Ageing
DNA damage
Variability
Language English
License Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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References CJ Kenyon (1053_CR1) 2010; 464
E Grundberg (1053_CR67) 2012; 44
H Heyn (1053_CR18) 2012; 109
1053_CR19
K Day (1053_CR22) 2013; 14
M Xie (1053_CR44) 2014; 20
1053_CR58
1053_CR17
MM Suzuki (1053_CR6) 2008; 9
J Deelen (1053_CR26) 2013; 35
F Supek (1053_CR72) 2011; 6
I Florath (1053_CR14) 2014; 23
T Barrett (1053_CR65) 2013; 41
M Martin (1053_CR59) 2011; 17
MH Huisman (1053_CR52) 2011; 82
J-P Fortin (1053_CR55) 2014; 15
VK Rakyan (1053_CR8) 2010; 20
RC Slieker (1053_CR33) 2013; 6
G Yu (1053_CR74) 2012; 16
EF Tigchelaar (1053_CR48) 2015; 5
1053_CR29
HM O'Hagan (1053_CR40) 2011; 20
Z Xu (1053_CR7) 2014; 35
1053_CR69
M Krzywinski (1053_CR76) 2009; 19
S Horvath (1053_CR24) 2013; 14
M Berdasco (1053_CR35) 2010; 19
Å Johansson (1053_CR10) 2013; 8
1053_CR66
BA Benayoun (1053_CR5) 2015; 16
1053_CR21
RG Westendorp (1053_CR49) 2009; 57
WE Johnson (1053_CR57) 2007; 8
DJ Rossi (1053_CR43) 2007; 447
A Schellenberg (1053_CR39) 2011; 3
1053_CR64
1053_CR63
EA Houseman (1053_CR30) 2012; 13
S Maegawa (1053_CR23) 2010; 20
1053_CR60
P Shannon (1053_CR73) 2003; 13
KD Hansen (1053_CR62) 2012; 13
AE Teschendorff (1053_CR36) 2010; 20
Y-A Chen (1053_CR56) 2013; 8
T Yuan (1053_CR9) 2015; 11
1053_CR37
G Hannum (1053_CR25) 2013; 49
MM Greevenbroek van (1053_CR47) 2011; 41
JL McClay (1053_CR11) 2014; 23
1053_CR38
A Hofman (1053_CR51) 2015; 30
ENCODE (1053_CR71) 2012; 489
JT Bell (1053_CR16) 2012; 8
1053_CR77
AR Vandiver (1053_CR34) 2015; 16
1053_CR75
1053_CR70
DI Boomsma (1053_CR50) 2002; 5
B Phipson (1053_CR28) 2014; 15
A Kundaje (1053_CR32) 2015; 518
M Iterson van (1053_CR54) 2014; 30
C Rube (1053_CR42) 2011; 6
DG Hernandez (1053_CR20) 2011; 20
A Dobin (1053_CR61) 2013; 29
WT Steegenga (1053_CR12) 2014; 36
H-J Westra (1053_CR53) 2011; 27
TB Kirkwood (1053_CR3) 2005; 120
1053_CR46
1053_CR45
Y Qu (1053_CR68) 2014; 9
AE Jaffe (1053_CR31) 2014; 15
1053_CR41
RP Talens (1053_CR27) 2012; 11
P Garagnani (1053_CR13) 2012; 11
J Vijg (1053_CR2) 2008; 454
S Marttila (1053_CR15) 2015; 16
C López-Otín (1053_CR4) 2013; 153
References_xml – ident: 1053_CR64
  doi: 10.1093/bioinformatics/btu049
– volume: 19
  start-page: 698
  year: 2010
  ident: 1053_CR35
  publication-title: Dev Cell.
  doi: 10.1016/j.devcel.2010.10.005
– ident: 1053_CR41
  doi: 10.1093/jmcb/mjv050
– volume: 20
  start-page: 332
  year: 2010
  ident: 1053_CR23
  publication-title: Genome Res.
  doi: 10.1101/gr.096826.109
– volume: 6
  year: 2011
  ident: 1053_CR42
  publication-title: PLoS One.
  doi: 10.1371/journal.pone.0017487
– volume: 8
  start-page: 203
  year: 2013
  ident: 1053_CR56
  publication-title: Epigenetics.
  doi: 10.4161/epi.23470
– volume: 30
  start-page: 3435
  year: 2014
  ident: 1053_CR54
  publication-title: Bioinformatics.
  doi: 10.1093/bioinformatics/btu566
– volume: 13
  start-page: 204
  year: 2012
  ident: 1053_CR62
  publication-title: Biostatistics.
  doi: 10.1093/biostatistics/kxr054
– volume: 41
  start-page: 372
  year: 2011
  ident: 1053_CR47
  publication-title: Eur J Clin Invest.
  doi: 10.1111/j.1365-2362.2010.02418.x
– ident: 1053_CR70
  doi: 10.1093/bioinformatics/btu654
– ident: 1053_CR19
  doi: 10.1038/ncomms11115
– ident: 1053_CR58
– volume: 35
  start-page: 386
  year: 2013
  ident: 1053_CR26
  publication-title: Bioessays.
  doi: 10.1002/bies.201200148
– ident: 1053_CR60
– volume: 13
  start-page: 2498
  year: 2003
  ident: 1053_CR73
  publication-title: Genome Res.
  doi: 10.1101/gr.1239303
– volume: 23
  start-page: 1186
  year: 2014
  ident: 1053_CR14
  publication-title: Hum Mol Genet.
  doi: 10.1093/hmg/ddt531
– volume: 3
  start-page: 873
  year: 2011
  ident: 1053_CR39
  publication-title: Aging (Albany NY)
  doi: 10.18632/aging.100391
– volume: 5
  year: 2015
  ident: 1053_CR48
  publication-title: BMJ Open.
  doi: 10.1136/bmjopen-2014-006772
– volume: 6
  start-page: 26
  year: 2013
  ident: 1053_CR33
  publication-title: Epigenetics Chromatin.
  doi: 10.1186/1756-8935-6-26
– ident: 1053_CR29
– volume: 49
  start-page: 359
  year: 2013
  ident: 1053_CR25
  publication-title: Mol Cell.
  doi: 10.1016/j.molcel.2012.10.016
– volume: 20
  start-page: 1472
  year: 2014
  ident: 1053_CR44
  publication-title: Nat Med.
  doi: 10.1038/nm.3733
– volume: 57
  start-page: 1634
  year: 2009
  ident: 1053_CR49
  publication-title: J Am Geriatr Soc.
  doi: 10.1111/j.1532-5415.2009.02381.x
– volume: 15
  start-page: 503
  year: 2014
  ident: 1053_CR55
  publication-title: Genome Biol.
  doi: 10.1186/s13059-014-0503-2
– volume: 19
  start-page: 1639
  year: 2009
  ident: 1053_CR76
  publication-title: Genome Res.
  doi: 10.1101/gr.092759.109
– ident: 1053_CR69
  doi: 10.2307/1911963
– volume: 153
  start-page: 1194
  year: 2013
  ident: 1053_CR4
  publication-title: Cell.
  doi: 10.1016/j.cell.2013.05.039
– volume: 8
  year: 2013
  ident: 1053_CR10
  publication-title: PLoS One.
– volume: 16
  start-page: 80
  year: 2015
  ident: 1053_CR34
  publication-title: Genome Biol.
  doi: 10.1186/s13059-015-0644-y
– ident: 1053_CR45
  doi: 10.1101/033217
– volume: 20
  start-page: 440
  year: 2010
  ident: 1053_CR36
  publication-title: Genome Res.
  doi: 10.1101/gr.103606.109
– volume: 109
  start-page: 10522
  year: 2012
  ident: 1053_CR18
  publication-title: Proc Natl Acad Sci U S A.
  doi: 10.1073/pnas.1120658109
– volume: 447
  start-page: 725
  year: 2007
  ident: 1053_CR43
  publication-title: Nature.
  doi: 10.1038/nature05862
– volume: 16
  start-page: 593
  year: 2015
  ident: 1053_CR5
  publication-title: Nat Rev Mol Cell Biol.
  doi: 10.1038/nrm4048
– ident: 1053_CR37
  doi: 10.1038/ncomms9570
– volume: 5
  start-page: 401
  year: 2002
  ident: 1053_CR50
  publication-title: Twin Res.
  doi: 10.1375/136905202320906174
– volume: 30
  start-page: 661
  year: 2015
  ident: 1053_CR51
  publication-title: Eur J Epidemiol.
  doi: 10.1007/s10654-015-0082-x
– volume: 17
  start-page: 10
  year: 2011
  ident: 1053_CR59
  publication-title: EMBnet J.
  doi: 10.14806/ej.17.1.200
– volume: 120
  start-page: 437
  year: 2005
  ident: 1053_CR3
  publication-title: Cell.
  doi: 10.1016/j.cell.2005.01.027
– volume: 15
  start-page: R31
  year: 2014
  ident: 1053_CR31
  publication-title: Genome Biol.
  doi: 10.1186/gb-2014-15-2-r31
– volume: 489
  start-page: 57
  year: 2012
  ident: 1053_CR71
  publication-title: Nature
  doi: 10.1038/nature11247
– volume: 23
  start-page: 1175
  year: 2014
  ident: 1053_CR11
  publication-title: Hum Mol Genet.
  doi: 10.1093/hmg/ddt511
– volume: 9
  start-page: 1108
  year: 2014
  ident: 1053_CR68
  publication-title: Epigenetics.
  doi: 10.4161/epi.29315
– ident: 1053_CR46
  doi: 10.1101/033084
– volume: 29
  start-page: 15
  year: 2013
  ident: 1053_CR61
  publication-title: Bioinformatics.
  doi: 10.1093/bioinformatics/bts635
– volume: 44
  start-page: 1084
  year: 2012
  ident: 1053_CR67
  publication-title: Nat Genet.
  doi: 10.1038/ng.2394
– volume: 518
  start-page: 317
  year: 2015
  ident: 1053_CR32
  publication-title: Nature
  doi: 10.1038/nature14248
– ident: 1053_CR38
  doi: 10.1038/srep13107
– volume: 454
  start-page: 1065
  year: 2008
  ident: 1053_CR2
  publication-title: Nature.
  doi: 10.1038/nature07216
– volume: 14
  start-page: R115
  year: 2013
  ident: 1053_CR24
  publication-title: Genome Biol.
  doi: 10.1186/gb-2013-14-10-r115
– ident: 1053_CR77
– ident: 1053_CR17
  doi: 10.1038/ncomms6366
– volume: 6
  year: 2011
  ident: 1053_CR72
  publication-title: PLoS One.
  doi: 10.1371/journal.pone.0021800
– volume: 11
  start-page: 694
  year: 2012
  ident: 1053_CR27
  publication-title: Aging Cell.
  doi: 10.1111/j.1474-9726.2012.00835.x
– ident: 1053_CR63
  doi: 10.1186/gb-2014-15-2-r29
– ident: 1053_CR66
  doi: 10.1093/nar/gku1057
– volume: 464
  start-page: 504
  year: 2010
  ident: 1053_CR1
  publication-title: Nature.
  doi: 10.1038/nature08980
– volume: 27
  start-page: 2104
  year: 2011
  ident: 1053_CR53
  publication-title: Bioinformatics.
  doi: 10.1093/bioinformatics/btr323
– volume: 8
  start-page: 118
  year: 2007
  ident: 1053_CR57
  publication-title: Biostatistics.
  doi: 10.1093/biostatistics/kxj037
– volume: 16
  start-page: 179
  year: 2015
  ident: 1053_CR15
  publication-title: BMC Genomics.
  doi: 10.1186/s12864-015-1381-z
– volume: 20
  start-page: 606
  year: 2011
  ident: 1053_CR40
  publication-title: Cancer Cell.
  doi: 10.1016/j.ccr.2011.09.012
– volume: 41
  start-page: D991
  year: 2013
  ident: 1053_CR65
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gks1193
– volume: 8
  year: 2012
  ident: 1053_CR16
  publication-title: PLoS Genet.
– volume: 20
  start-page: 1164
  year: 2011
  ident: 1053_CR20
  publication-title: Hum Mol Genet.
  doi: 10.1093/hmg/ddq561
– ident: 1053_CR21
  doi: 10.1101/gr.169011.113
– volume: 14
  start-page: R102
  year: 2013
  ident: 1053_CR22
  publication-title: Genome Biol.
  doi: 10.1186/gb-2013-14-9-r102
– volume: 13
  start-page: 1
  year: 2012
  ident: 1053_CR30
  publication-title: BMC Bioinformatics.
  doi: 10.1186/1471-2105-13-86
– ident: 1053_CR75
  doi: 10.1007/978-0-387-98141-3
– volume: 36
  start-page: 1523
  year: 2014
  ident: 1053_CR12
  publication-title: Age.
  doi: 10.1007/s11357-014-9648-x
– volume: 11
  start-page: 1132
  year: 2012
  ident: 1053_CR13
  publication-title: Aging Cell.
  doi: 10.1111/acel.12005
– volume: 35
  start-page: 356
  year: 2014
  ident: 1053_CR7
  publication-title: Carcinogenesis.
  doi: 10.1093/carcin/bgt391
– volume: 20
  start-page: 434
  year: 2010
  ident: 1053_CR8
  publication-title: Genome Res.
  doi: 10.1101/gr.103101.109
– volume: 82
  start-page: 1165
  year: 2011
  ident: 1053_CR52
  publication-title: J Neurol Neurosurg Psychiatry.
  doi: 10.1136/jnnp.2011.244939
– volume: 15
  start-page: 465
  year: 2014
  ident: 1053_CR28
  publication-title: Genome Biol.
  doi: 10.1186/s13059-014-0465-4
– volume: 16
  start-page: 284
  year: 2012
  ident: 1053_CR74
  publication-title: Omics
  doi: 10.1089/omi.2011.0118
– volume: 11
  year: 2015
  ident: 1053_CR9
  publication-title: PLoS Genet.
– volume: 9
  start-page: 465
  year: 2008
  ident: 1053_CR6
  publication-title: Nat Rev Genet.
  doi: 10.1038/nrg2341
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Snippet Background Epigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG...
Epigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG sites...
Background Epigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG...
BACKGROUND: Epigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG...
SourceID pubmedcentral
proquest
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springer
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StartPage 191
SubjectTerms Age
Aging
Animal Genetics and Genomics
Apoptosis
Bioinformatics
Biomedical and Life Sciences
Blood
Cancer
CpG islands
Datasets
Deoxyribonucleic acid
DNA
DNA methylation
DNA repair
Enhancers
Epigenetics
Evolutionary Biology
Gene expression
gene expression regulation
Genes
Genomes
genomic islands
Genomics
health status
Human Genetics
humans
Life Sciences
metabolism
Microbial Genetics and Genomics
neoplasms
Plant Genetics and Genomics
Polycomb group proteins
Population
Ribonucleic acid
RNA
sequence analysis
Studies
tissues
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Title Age-related accrual of methylomic variability is linked to fundamental ageing mechanisms
URI https://link.springer.com/article/10.1186/s13059-016-1053-6
https://www.ncbi.nlm.nih.gov/pubmed/27654999
https://www.proquest.com/docview/2208027260
https://www.proquest.com/docview/1859724590
https://www.proquest.com/docview/2000304943
https://pubmed.ncbi.nlm.nih.gov/PMC5032245
Volume 17
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