Epigenetic mutation load is weakly correlated with epigenetic age acceleration.
Epigenetic mutation load is weakly correlated with epigenetic age acceleration.
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DOI:
10.18632/aging.103950
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发表时间:
2020-09-29
期刊:
影响因子:
--
通讯作者:
Ritz B
中科院分区:
文献类型:
--
作者:
Yan Q;Paul KC;Lu AT;Kusters C;Binder AM;Horvath S;Ritz B
DNA methylation (DNAm) age estimators are widely used to study aging-related conditions. It is not yet known whether DNAm age is associated with the accumulation of stochastic epigenetic mutations (SEMs), which reflect dysfunctions of the epigenetic maintenance system. Here, we defined epigenetic mutation load (EML) as the total number of SEMs per individual. We assessed associations between EML and DNAm age acceleration estimators using biweight midcorrelations in four population-based studies (total n = 6,388). EML was not only positively associated with chronological age (meta r = 0.171), but also with four measures of epigenetic age acceleration: the Horvath pan tissue clock, intrinsic epigenetic age acceleration, the Hannum clock, and the GrimAge clock (meta-analysis correlation ranging from r = 0.109 to 0.179). We further conducted pathway enrichment analyses for each participant’s SEMs. The enrichment result demonstrated the stochasticity of epigenetic mutations, meanwhile implicated several pathways: signaling, neurogenesis, neurotransmitter, glucocorticoid, and circadian rhythm pathways may contribute to faster DNAm age acceleration. Finally, investigating genomic-region specific EML, we found that EMLs located within regions of transcriptional repression (TSS1500, TSS200, and 1stExon) were associated with faster age acceleration. Overall, our findings suggest a role for the accumulation of epigenetic mutations in the aging process.
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影响因子:
--
作者:
Gentilini D;Scala S;Gaudenzi G;Garagnani P;Capri M;Cescon M;Grazi GL;Bacalini MG;Pisoni S;Dicitore A;Circelli L;Santagata S;Izzo F;Di Blasio AM;Persani L;Franceschi C;Vitale G
通讯作者:
Vitale G
DOI:
10.1093/infdis/jiv277
发表时间:
2015-11-15
期刊:
The Journal of infectious diseases
影响因子:
--
作者:
Horvath S;Levine AJ
通讯作者:
Levine AJ
影响因子:
16
作者:
Hannum, Gregory;Guinney, Justin;Zhao, Ling;Zhang, Li;Hughes, Guy;Sadda, SriniVas;Klotzle, Brandy;Bibikova, Marina;Fan, Jian-Bing;Gao, Yuan;Deconde, Rob;Chen, Menzies;Rajapakse, Indika;Friend, Stephen;Ideker, Trey;Zhang, Kang
通讯作者:
Zhang, Kang
影响因子:
5.6
作者:
Anderson, GL;Manson, J;Prentice, RL
通讯作者:
Prentice, RL
影响因子:
8.8
作者:
Breeze CE;Paul DS;van Dongen J;Butcher LM;Ambrose JC;Barrett JE;Lowe R;Rakyan VK;Iotchkova V;Frontini M;Downes K;Ouwehand WH;Laperle J;Jacques PÉ;Bourque G;Bergmann AK;Siebert R;Vellenga E;Saeed S;Matarese F;Martens JHA;Stunnenberg HG;Teschendorff AE;Herrero J;Birney E;Dunham I;Beck S
通讯作者:
Beck S