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      A decade of epigenetic change in aging twins: Genetic and environmental contributions to longitudinal DNA methylation

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          Abstract

          Background

          Epigenetic changes may result from the interplay of environmental exposures and genetic influences and contribute to differences in age‐related disease, disability, and mortality risk. However, the etiologies contributing to stability and change in DNA methylation have rarely been examined longitudinally.

          Methods

          We considered DNA methylation in whole blood leukocyte DNA across a 10‐year span in two samples of same‐sex aging twins: (a) Swedish Adoption Twin Study of Aging (SATSA; N = 53 pairs, 53% female; 62.9 and 72.5 years, SD = 7.2 years); (b) Longitudinal Study of Aging Danish Twins (LSADT; N = 43 pairs, 72% female, 76.2 and 86.1 years, SD=1.8 years). Joint biometrical analyses were conducted on 358,836 methylation probes in common. Bivariate twin models were fitted, adjusting for age, sex, and country.

          Results

          Overall, results suggest genetic contributions to DNA methylation across 358,836 sites tended to be small and lessen across 10 years (broad heritability M = 23.8% and 18.0%) but contributed to stability across time while person‐specific factors explained emergent influences across the decade. Aging‐specific sites identified from prior EWAS and methylation age clocks were more heritable than background sites. The 5037 sites that showed the greatest heritable/familial–environmental influences ( < 1E−07) were enriched for immune and inflammation pathways while 2020 low stability sites showed enrichment in stress‐related pathways.

          Conclusions

          Across time, stability in methylation is primarily due to genetic contributions, while novel experiences and exposures contribute to methylation differences. Elevated genetic contributions at age‐related methylation sites suggest that adaptions to aging and senescence may be differentially impacted by genetic background.

          Abstract

          Individual differences in late‐life methylation for 358,836 cytosine–guanine dinucleotide (CpG) probes are due partly to genetic influences that contribute to stability across 10 years while non‐shared factors, including environmental experiences unique to individuals, contribute to new influences on methylation patterns, as indicated by the r A, r D, and r E. Aging‐related CpG sites show greater heritable influences on methylation consistent with genetic regulation of biological aging rates.

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          Most cited references27

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          An epigenetic biomarker of aging for lifespan and healthspan

          Identifying reliable biomarkers of aging is a major goal in geroscience. While the first generation of epigenetic biomarkers of aging were developed using chronological age as a surrogate for biological age, we hypothesized that incorporation of composite clinical measures of phenotypic age that capture differences in lifespan and healthspan may identify novel CpGs and facilitate the development of a more powerful epigenetic biomarker of aging. Using an innovative two-step process, we develop a new epigenetic biomarker of aging, DNAm PhenoAge, that strongly outperforms previous measures in regards to predictions for a variety of aging outcomes, including all-cause mortality, cancers, healthspan, physical functioning, and Alzheimer's disease. While this biomarker was developed using data from whole blood, it correlates strongly with age in every tissue and cell tested. Based on an in-depth transcriptional analysis in sorted cells, we find that increased epigenetic, relative to chronological age, is associated with increased activation of pro-inflammatory and interferon pathways, and decreased activation of transcriptional/translational machinery, DNA damage response, and mitochondrial signatures. Overall, this single epigenetic biomarker of aging is able to capture risks for an array of diverse outcomes across multiple tissues and cells, and provide insight into important pathways in aging.
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            DNA methylation and healthy human aging

            Summary The process of aging results in a host of changes at the cellular and molecular levels, which include senescence, telomere shortening, and changes in gene expression. Epigenetic patterns also change over the lifespan, suggesting that epigenetic changes may constitute an important component of the aging process. The epigenetic mark that has been most highly studied is DNA methylation, the presence of methyl groups at CpG dinucleotides. These dinucleotides are often located near gene promoters and associate with gene expression levels. Early studies indicated that global levels of DNA methylation increase over the first few years of life and then decrease beginning in late adulthood. Recently, with the advent of microarray and next‐generation sequencing technologies, increases in variability of DNA methylation with age have been observed, and a number of site‐specific patterns have been identified. It has also been shown that certain CpG sites are highly associated with age, to the extent that prediction models using a small number of these sites can accurately predict the chronological age of the donor. Together, these observations point to the existence of two phenomena that both contribute to age‐related DNA methylation changes: epigenetic drift and the epigenetic clock. In this review, we focus on healthy human aging throughout the lifetime and discuss the dynamics of DNA methylation as well as how interactions between the genome, environment, and the epigenome influence aging rates. We also discuss the impact of determining ‘epigenetic age’ for human health and outline some important caveats to existing and future studies.
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              DNA Methylation Clocks in Aging: Categories, Causes, and Consequences

              Age-associated changes to the mammalian DNA methylome are well documented and thought to promote diseases of aging, such as cancer. Recent studies have identified collections of individual methylation sites whose aggregate methylation status measures chronological age, referred to as the DNA methylation clock. DNA methylation may also have value as a biomarker of healthy versus unhealthy aging and disease risk; in other words, a biological clock. Here we consider the relationship between the chronological and biological clocks, their underlying mechanisms, potential consequences, and their utility as biomarkers and as targets for intervention to promote healthy aging and longevity.
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                Author and article information

                Contributors
                chandra.reynolds@ucr.edu
                Journal
                Aging Cell
                Aging Cell
                10.1111/(ISSN)1474-9726
                ACEL
                Aging Cell
                John Wiley and Sons Inc. (Hoboken )
                1474-9718
                1474-9726
                24 July 2020
                August 2020
                : 19
                : 8 ( doiID: 10.1111/acel.v19.8 )
                : e13197
                Affiliations
                [ 1 ] University of California ‐ Riverside Riverside CA USA
                [ 2 ] University of Southern Denmark Odense Denmark
                [ 3 ] Karolinska Institutet Stockholm Sweden
                [ 4 ] Copenhagen University Hospital, Rigshospitalet Copenhagen Denmark
                [ 5 ]Present address: University of Texas at Austin Austin TX USA
                Author notes
                [*] [* ] Correspondence

                Chandra A. Reynolds, Department of Psychology, University of California Riverside, 900 University Avenue, Riverside, CA 92521.

                Email: chandra.reynolds@ 123456ucr.edu

                Author information
                https://orcid.org/0000-0001-6502-7173
                https://orcid.org/0000-0002-2452-1500
                Article
                ACEL13197
                10.1111/acel.13197
                7431820
                32710526
                1ae1b7ea-a9cd-48f3-b0af-bf9369add231
                © 2020 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 23 December 2019
                : 07 June 2020
                : 28 June 2020
                Page count
                Figures: 4, Tables: 2, Pages: 12, Words: 9200
                Funding
                Funded by: Vetenskapsrådet , open-funder-registry 10.13039/501100004359;
                Award ID: 521‐2013‐8689
                Award ID: 825‐2007‐7460
                Award ID: 825‐2009‐6141
                Award ID: 2015‐03255
                Funded by: Forskningsrådet för Arbetsliv och Socialvetenskap , open-funder-registry 10.13039/501100001861;
                Award ID: 97:0147:1B
                Award ID: 2009‐0795
                Funded by: Forskningsrådet om Hälsa, Arbetsliv och Välfärd , open-funder-registry 10.13039/501100006636;
                Award ID: 2013‐2292
                Funded by: National Institute on Aging , open-funder-registry 10.13039/100000049;
                Award ID: AG028555
                Award ID: AG037985
                Award ID: AG04563
                Award ID: AG10175
                Award ID: AG17561
                Award ID: P01‐AG08761
                Funded by: the European Union's Seventh Framework Programme
                Award ID: FP7/2007‐2011
                Award ID: 259679
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                August 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.6 mode:remove_FC converted:18.08.2020

                Cell biology
                aging,dna methylation,heritability,longitudinal
                Cell biology
                aging, dna methylation, heritability, longitudinal

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