Genetic and environmental exposures constrain epigenetic drift over the human life course
Epigenetic mechanisms such as DNA methylation (DNAm) are essential for regulation of gene expression. DNAm is dynamic, influenced by both environmental and genetic factors. Epigenetic drift is the divergence of the epigenome as a function of age due to stochastic changes in methylation. Here we show...
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creator | Shah, Sonia McRae, Allan F Marioni, Riccardo E Harris, Sarah E Gibson, Jude Henders, Anjali K Redmond, Paul Cox, Simon R Pattie, Alison Corley, Janie Murphy, Lee Martin, Nicholas G Montgomery, Grant W Starr, John M Wray, Naomi R Deary, Ian J Visscher, Peter M |
description | Epigenetic mechanisms such as DNA methylation (DNAm) are essential for regulation of gene expression. DNAm is dynamic, influenced by both environmental and genetic factors. Epigenetic drift is the divergence of the epigenome as a function of age due to stochastic changes in methylation. Here we show that epigenetic drift may be constrained at many CpGs across the human genome by DNA sequence variation and by lifetime environmental exposures. We estimate repeatability of DNAm at 234,811 autosomal CpGs in whole blood using longitudinal data (2-3 repeated measurements) on 478 older people from two Scottish birth cohorts--the Lothian Birth Cohorts of 1921 and 1936. Median age was 79 yr and 70 yr, and the follow-up period was ∼10 yr and ∼6 yr, respectively. We compare this to methylation heritability estimated in the Brisbane Systems Genomics Study, a cross-sectional study of 117 families (offspring median age 13 yr; parent median age 46 yr). CpG repeatability in older people was highly correlated (0.68) with heritability estimated in younger people. Highly heritable sites had strong underlying cis-genetic effects. Thirty-seven and 1687 autosomal CpGs were associated with smoking and sex, respectively. Both sets were strongly enriched for high repeatability. Sex-associated CpGs were also strongly enriched for high heritability. Our results show that a large number of CpGs across the genome, as a result of environmental and/or genetic constraints, have stable DNAm variation over the human lifetime. Moreover, at a number of CpGs, most variation in the population is due to genetic factors, despite some sites being highly modifiable by the environment. |
doi_str_mv | 10.1101/gr.176933.114 |
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DNAm is dynamic, influenced by both environmental and genetic factors. Epigenetic drift is the divergence of the epigenome as a function of age due to stochastic changes in methylation. Here we show that epigenetic drift may be constrained at many CpGs across the human genome by DNA sequence variation and by lifetime environmental exposures. We estimate repeatability of DNAm at 234,811 autosomal CpGs in whole blood using longitudinal data (2-3 repeated measurements) on 478 older people from two Scottish birth cohorts--the Lothian Birth Cohorts of 1921 and 1936. Median age was 79 yr and 70 yr, and the follow-up period was ∼10 yr and ∼6 yr, respectively. We compare this to methylation heritability estimated in the Brisbane Systems Genomics Study, a cross-sectional study of 117 families (offspring median age 13 yr; parent median age 46 yr). CpG repeatability in older people was highly correlated (0.68) with heritability estimated in younger people. Highly heritable sites had strong underlying cis-genetic effects. Thirty-seven and 1687 autosomal CpGs were associated with smoking and sex, respectively. Both sets were strongly enriched for high repeatability. Sex-associated CpGs were also strongly enriched for high heritability. Our results show that a large number of CpGs across the genome, as a result of environmental and/or genetic constraints, have stable DNAm variation over the human lifetime. Moreover, at a number of CpGs, most variation in the population is due to genetic factors, despite some sites being highly modifiable by the environment.</description><identifier>ISSN: 1088-9051</identifier><identifier>EISSN: 1549-5469</identifier><identifier>DOI: 10.1101/gr.176933.114</identifier><identifier>PMID: 25249537</identifier><language>eng</language><publisher>United States: Cold Spring Harbor Laboratory Press</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Algorithms ; Child ; Cohort Studies ; CpG Islands - genetics ; Cross-Sectional Studies ; DNA Methylation ; Family Health ; Female ; Gene-Environment Interaction ; Genetics, Population - methods ; Genome, Human - genetics ; Humans ; Inheritance Patterns - genetics ; Male ; Middle Aged ; Models, Genetic ; Polymorphism, Single Nucleotide ; Sex Factors ; Smoking ; Young Adult</subject><ispartof>Genome research, 2014-11, Vol.24 (11), p.1725-1733</ispartof><rights>2014 Shah et al.; Published by Cold Spring Harbor Laboratory Press.</rights><rights>2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-81d80ca51adf45ed5e13f135813642c1803daac941e7d545c3696f5707c887b33</citedby><cites>FETCH-LOGICAL-c420t-81d80ca51adf45ed5e13f135813642c1803daac941e7d545c3696f5707c887b33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216914/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216914/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27922,27923,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25249537$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shah, Sonia</creatorcontrib><creatorcontrib>McRae, Allan F</creatorcontrib><creatorcontrib>Marioni, Riccardo E</creatorcontrib><creatorcontrib>Harris, Sarah E</creatorcontrib><creatorcontrib>Gibson, Jude</creatorcontrib><creatorcontrib>Henders, Anjali K</creatorcontrib><creatorcontrib>Redmond, Paul</creatorcontrib><creatorcontrib>Cox, Simon R</creatorcontrib><creatorcontrib>Pattie, Alison</creatorcontrib><creatorcontrib>Corley, Janie</creatorcontrib><creatorcontrib>Murphy, Lee</creatorcontrib><creatorcontrib>Martin, Nicholas G</creatorcontrib><creatorcontrib>Montgomery, Grant W</creatorcontrib><creatorcontrib>Starr, John M</creatorcontrib><creatorcontrib>Wray, Naomi R</creatorcontrib><creatorcontrib>Deary, Ian J</creatorcontrib><creatorcontrib>Visscher, Peter M</creatorcontrib><title>Genetic and environmental exposures constrain epigenetic drift over the human life course</title><title>Genome research</title><addtitle>Genome Res</addtitle><description>Epigenetic mechanisms such as DNA methylation (DNAm) are essential for regulation of gene expression. DNAm is dynamic, influenced by both environmental and genetic factors. Epigenetic drift is the divergence of the epigenome as a function of age due to stochastic changes in methylation. Here we show that epigenetic drift may be constrained at many CpGs across the human genome by DNA sequence variation and by lifetime environmental exposures. We estimate repeatability of DNAm at 234,811 autosomal CpGs in whole blood using longitudinal data (2-3 repeated measurements) on 478 older people from two Scottish birth cohorts--the Lothian Birth Cohorts of 1921 and 1936. Median age was 79 yr and 70 yr, and the follow-up period was ∼10 yr and ∼6 yr, respectively. We compare this to methylation heritability estimated in the Brisbane Systems Genomics Study, a cross-sectional study of 117 families (offspring median age 13 yr; parent median age 46 yr). CpG repeatability in older people was highly correlated (0.68) with heritability estimated in younger people. Highly heritable sites had strong underlying cis-genetic effects. Thirty-seven and 1687 autosomal CpGs were associated with smoking and sex, respectively. Both sets were strongly enriched for high repeatability. Sex-associated CpGs were also strongly enriched for high heritability. Our results show that a large number of CpGs across the genome, as a result of environmental and/or genetic constraints, have stable DNAm variation over the human lifetime. Moreover, at a number of CpGs, most variation in the population is due to genetic factors, despite some sites being highly modifiable by the environment.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Child</subject><subject>Cohort Studies</subject><subject>CpG Islands - genetics</subject><subject>Cross-Sectional Studies</subject><subject>DNA Methylation</subject><subject>Family Health</subject><subject>Female</subject><subject>Gene-Environment Interaction</subject><subject>Genetics, Population - methods</subject><subject>Genome, Human - genetics</subject><subject>Humans</subject><subject>Inheritance Patterns - genetics</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Models, Genetic</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Sex Factors</subject><subject>Smoking</subject><subject>Young Adult</subject><issn>1088-9051</issn><issn>1549-5469</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVUT1PwzAQtRCIj8LIijyypPhiO3EWJISgICGxwMBkuc6lNUrsYicV_HuCWiqY7p7u3bvTe4ScA5sCMLhaxCmURcX5CMUeOQYpqkyKotofe6ZUVjEJR-QkpXfGGBdKHZKjXOaikrw8Jm8z9Ng7S42vKfq1i8F36HvTUvxchTRETNQGn_ponKe4covtQh1d09Owxkj7JdLl0BlPW9fgSB9iwlNy0Jg24dm2Tsjr_d3L7UP29Dx7vL15yqzIWZ8pqBWzRoKpGyGxlgi8AS4V8ELkFhTjtTG2EoBlLYW0vKiKRpastEqVc84n5HqjuxrmHdZ2fD6aVq-i60z80sE4_X_i3VIvwlqLHIoKxChwuRWI4WPA1OvOJYttazyGIWkoSs4Vk6N7E5JtqDaGlCI2uzPA9E8cehH1Jo4R_khf_P1tx_71n38DBn2HtQ</recordid><startdate>201411</startdate><enddate>201411</enddate><creator>Shah, Sonia</creator><creator>McRae, Allan F</creator><creator>Marioni, Riccardo E</creator><creator>Harris, Sarah E</creator><creator>Gibson, Jude</creator><creator>Henders, Anjali K</creator><creator>Redmond, Paul</creator><creator>Cox, Simon R</creator><creator>Pattie, Alison</creator><creator>Corley, Janie</creator><creator>Murphy, Lee</creator><creator>Martin, Nicholas G</creator><creator>Montgomery, Grant W</creator><creator>Starr, John M</creator><creator>Wray, Naomi R</creator><creator>Deary, Ian J</creator><creator>Visscher, Peter M</creator><general>Cold Spring Harbor Laboratory Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>5PM</scope></search><sort><creationdate>201411</creationdate><title>Genetic and environmental exposures constrain epigenetic drift over the human life course</title><author>Shah, Sonia ; McRae, Allan F ; Marioni, Riccardo E ; Harris, Sarah E ; Gibson, Jude ; Henders, Anjali K ; Redmond, Paul ; Cox, Simon R ; Pattie, Alison ; Corley, Janie ; Murphy, Lee ; Martin, Nicholas G ; Montgomery, Grant W ; Starr, John M ; Wray, Naomi R ; Deary, Ian J ; Visscher, Peter M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-81d80ca51adf45ed5e13f135813642c1803daac941e7d545c3696f5707c887b33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Child</topic><topic>Cohort Studies</topic><topic>CpG Islands - genetics</topic><topic>Cross-Sectional Studies</topic><topic>DNA Methylation</topic><topic>Family Health</topic><topic>Female</topic><topic>Gene-Environment Interaction</topic><topic>Genetics, Population - methods</topic><topic>Genome, Human - genetics</topic><topic>Humans</topic><topic>Inheritance Patterns - genetics</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Models, Genetic</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Sex Factors</topic><topic>Smoking</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shah, Sonia</creatorcontrib><creatorcontrib>McRae, Allan F</creatorcontrib><creatorcontrib>Marioni, Riccardo E</creatorcontrib><creatorcontrib>Harris, Sarah E</creatorcontrib><creatorcontrib>Gibson, Jude</creatorcontrib><creatorcontrib>Henders, Anjali K</creatorcontrib><creatorcontrib>Redmond, Paul</creatorcontrib><creatorcontrib>Cox, Simon R</creatorcontrib><creatorcontrib>Pattie, Alison</creatorcontrib><creatorcontrib>Corley, Janie</creatorcontrib><creatorcontrib>Murphy, Lee</creatorcontrib><creatorcontrib>Martin, Nicholas G</creatorcontrib><creatorcontrib>Montgomery, Grant W</creatorcontrib><creatorcontrib>Starr, John M</creatorcontrib><creatorcontrib>Wray, Naomi R</creatorcontrib><creatorcontrib>Deary, Ian J</creatorcontrib><creatorcontrib>Visscher, Peter M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Genome research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shah, Sonia</au><au>McRae, Allan F</au><au>Marioni, Riccardo E</au><au>Harris, Sarah E</au><au>Gibson, Jude</au><au>Henders, Anjali K</au><au>Redmond, Paul</au><au>Cox, Simon R</au><au>Pattie, Alison</au><au>Corley, Janie</au><au>Murphy, Lee</au><au>Martin, Nicholas G</au><au>Montgomery, Grant W</au><au>Starr, John M</au><au>Wray, Naomi R</au><au>Deary, Ian J</au><au>Visscher, Peter M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic and environmental exposures constrain epigenetic drift over the human life course</atitle><jtitle>Genome research</jtitle><addtitle>Genome Res</addtitle><date>2014-11</date><risdate>2014</risdate><volume>24</volume><issue>11</issue><spage>1725</spage><epage>1733</epage><pages>1725-1733</pages><issn>1088-9051</issn><eissn>1549-5469</eissn><abstract>Epigenetic mechanisms such as DNA methylation (DNAm) are essential for regulation of gene expression. DNAm is dynamic, influenced by both environmental and genetic factors. Epigenetic drift is the divergence of the epigenome as a function of age due to stochastic changes in methylation. Here we show that epigenetic drift may be constrained at many CpGs across the human genome by DNA sequence variation and by lifetime environmental exposures. We estimate repeatability of DNAm at 234,811 autosomal CpGs in whole blood using longitudinal data (2-3 repeated measurements) on 478 older people from two Scottish birth cohorts--the Lothian Birth Cohorts of 1921 and 1936. Median age was 79 yr and 70 yr, and the follow-up period was ∼10 yr and ∼6 yr, respectively. We compare this to methylation heritability estimated in the Brisbane Systems Genomics Study, a cross-sectional study of 117 families (offspring median age 13 yr; parent median age 46 yr). CpG repeatability in older people was highly correlated (0.68) with heritability estimated in younger people. Highly heritable sites had strong underlying cis-genetic effects. Thirty-seven and 1687 autosomal CpGs were associated with smoking and sex, respectively. Both sets were strongly enriched for high repeatability. Sex-associated CpGs were also strongly enriched for high heritability. Our results show that a large number of CpGs across the genome, as a result of environmental and/or genetic constraints, have stable DNAm variation over the human lifetime. Moreover, at a number of CpGs, most variation in the population is due to genetic factors, despite some sites being highly modifiable by the environment.</abstract><cop>United States</cop><pub>Cold Spring Harbor Laboratory Press</pub><pmid>25249537</pmid><doi>10.1101/gr.176933.114</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Algorithms Child Cohort Studies CpG Islands - genetics Cross-Sectional Studies DNA Methylation Family Health Female Gene-Environment Interaction Genetics, Population - methods Genome, Human - genetics Humans Inheritance Patterns - genetics Male Middle Aged Models, Genetic Polymorphism, Single Nucleotide Sex Factors Smoking Young Adult |
title | Genetic and environmental exposures constrain epigenetic drift over the human life course |
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