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Epigenetic mutation load is weakly correlated with epigenetic age acceleration

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 mu...

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Autores principales: Yan, Qi, Paul, Kimberly C., Lu, Ake T., Kusters, Cynthia, Binder, Alexandra M., Horvath, Steve, Ritz, Beate
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585066/
https://www.ncbi.nlm.nih.gov/pubmed/32991324
http://dx.doi.org/10.18632/aging.103950
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author Yan, Qi
Paul, Kimberly C.
Lu, Ake T.
Kusters, Cynthia
Binder, Alexandra M.
Horvath, Steve
Ritz, Beate
author_facet Yan, Qi
Paul, Kimberly C.
Lu, Ake T.
Kusters, Cynthia
Binder, Alexandra M.
Horvath, Steve
Ritz, Beate
author_sort Yan, Qi
collection PubMed
description 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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spelling pubmed-75850662020-11-03 Epigenetic mutation load is weakly correlated with epigenetic age acceleration Yan, Qi Paul, Kimberly C. Lu, Ake T. Kusters, Cynthia Binder, Alexandra M. Horvath, Steve Ritz, Beate Aging (Albany NY) Research Paper 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. Impact Journals 2020-09-29 /pmc/articles/PMC7585066/ /pubmed/32991324 http://dx.doi.org/10.18632/aging.103950 Text en Copyright: © 2020 Yan et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Yan, Qi
Paul, Kimberly C.
Lu, Ake T.
Kusters, Cynthia
Binder, Alexandra M.
Horvath, Steve
Ritz, Beate
Epigenetic mutation load is weakly correlated with epigenetic age acceleration
title Epigenetic mutation load is weakly correlated with epigenetic age acceleration
title_full Epigenetic mutation load is weakly correlated with epigenetic age acceleration
title_fullStr Epigenetic mutation load is weakly correlated with epigenetic age acceleration
title_full_unstemmed Epigenetic mutation load is weakly correlated with epigenetic age acceleration
title_short Epigenetic mutation load is weakly correlated with epigenetic age acceleration
title_sort epigenetic mutation load is weakly correlated with epigenetic age acceleration
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585066/
https://www.ncbi.nlm.nih.gov/pubmed/32991324
http://dx.doi.org/10.18632/aging.103950
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