Associations of Alcohol Consumption With Epigenome‐Wide DNA Methylation and Epigenetic Age Acceleration: Individual‐Level and Co‐twin Comparison Analyses
Background DNA methylation may play a role in the progression from normative to problematic drinking and underlie adverse health outcomes associated with alcohol misuse. We examined the association between alcohol consumption and DNA methylation patterns using 3 approaches: a conventional epigenome‐...
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description | Background
DNA methylation may play a role in the progression from normative to problematic drinking and underlie adverse health outcomes associated with alcohol misuse. We examined the association between alcohol consumption and DNA methylation patterns using 3 approaches: a conventional epigenome‐wide association study (EWAS); a co‐twin comparison design, which controls for genetic and environmental influences that twins share; and a regression of age acceleration, defined as a discrepancy between chronological age and DNA methylation age, on alcohol consumption.
Methods
Participants came from the Finnish Twin Cohorts (FinnTwin12/FinnTwin16; N = 1,004; 55% female; average age = 23 years). Individuals reported the number of alcoholic beverages consumed in the past week, and epigenome‐wide DNA methylation was assessed in whole blood using the Infinium HumanMethylation450 BeadChip.
Results
In the EWAS, alcohol consumption was significantly related to methylation at 24 CpG sites. When evaluating whether differences between twin siblings (185 monozygotic pairs) in alcohol consumption predicted differences in DNA methylation, co‐twin comparisons replicated 4 CpG sites from the EWAS and identified 23 additional sites. However, when we examined qualitative differences in drinking patterns between twins (heavy drinker vs. light drinker/abstainer or moderate drinker vs. abstainer; 44 pairs), methylation patterns did not significantly differ within twin pairs. Finally, individuals who reported higher alcohol consumption also exhibited greater age acceleration, though results were no longer significant after controlling for genetic and environmental influences shared by co‐twins.
Conclusions
Our analyses offer insight into the associations between epigenetic variation and levels of alcohol consumption in young adulthood.
We used multiple approaches, including an epigenome‐wide association study (EWAS), co‐twin comparisons, and age acceleration analyses, to investigate DNA methylation patterns associated with alcohol consumption within a sample of Finnish twins. Our analyses emphasize the utility of co‐twin comparisons as a complementary approach to EWAS when developing a blood‐based biomarker for alcohol consumption. The co‐twin comparison design enables stronger inferences not possible in samples of unrelated individuals and differentiates valuable biomarkers from markers of correlated genetic or environmental liability. |
doi_str_mv | 10.1111/acer.14528 |
format | Article |
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DNA methylation may play a role in the progression from normative to problematic drinking and underlie adverse health outcomes associated with alcohol misuse. We examined the association between alcohol consumption and DNA methylation patterns using 3 approaches: a conventional epigenome‐wide association study (EWAS); a co‐twin comparison design, which controls for genetic and environmental influences that twins share; and a regression of age acceleration, defined as a discrepancy between chronological age and DNA methylation age, on alcohol consumption.
Methods
Participants came from the Finnish Twin Cohorts (FinnTwin12/FinnTwin16; N = 1,004; 55% female; average age = 23 years). Individuals reported the number of alcoholic beverages consumed in the past week, and epigenome‐wide DNA methylation was assessed in whole blood using the Infinium HumanMethylation450 BeadChip.
Results
In the EWAS, alcohol consumption was significantly related to methylation at 24 CpG sites. When evaluating whether differences between twin siblings (185 monozygotic pairs) in alcohol consumption predicted differences in DNA methylation, co‐twin comparisons replicated 4 CpG sites from the EWAS and identified 23 additional sites. However, when we examined qualitative differences in drinking patterns between twins (heavy drinker vs. light drinker/abstainer or moderate drinker vs. abstainer; 44 pairs), methylation patterns did not significantly differ within twin pairs. Finally, individuals who reported higher alcohol consumption also exhibited greater age acceleration, though results were no longer significant after controlling for genetic and environmental influences shared by co‐twins.
Conclusions
Our analyses offer insight into the associations between epigenetic variation and levels of alcohol consumption in young adulthood.
We used multiple approaches, including an epigenome‐wide association study (EWAS), co‐twin comparisons, and age acceleration analyses, to investigate DNA methylation patterns associated with alcohol consumption within a sample of Finnish twins. Our analyses emphasize the utility of co‐twin comparisons as a complementary approach to EWAS when developing a blood‐based biomarker for alcohol consumption. The co‐twin comparison design enables stronger inferences not possible in samples of unrelated individuals and differentiates valuable biomarkers from markers of correlated genetic or environmental liability.</description><identifier>ISSN: 0145-6008</identifier><identifier>EISSN: 1530-0277</identifier><identifier>DOI: 10.1111/acer.14528</identifier><identifier>PMID: 33277923</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Adult ; Age ; Age Acceleration ; Aging - blood ; Aging - genetics ; Alcohol ; Alcohol Drinking - blood ; Alcohol Drinking - epidemiology ; Alcohol Drinking - genetics ; Alcohol use ; Alcoholic beverages ; Alcoholism ; Beverages ; Cohort Studies ; Co‐twin Comparisons ; CpG islands ; Cross-Sectional Studies ; Deoxyribonucleic acid ; DNA ; DNA methylation ; DNA Methylation - physiology ; Drinking behavior ; Epigenesis, Genetic - physiology ; Epigenetics ; Epigenome - physiology ; epigenome‐wide association study ; Female ; Finland - epidemiology ; FinnTwin12 ; Genome-Wide Association Study - methods ; Humans ; Longitudinal Studies ; Male ; Twins ; Twins, Dizygotic - genetics ; Twins, Monozygotic - genetics ; Young Adult</subject><ispartof>Alcoholism, clinical and experimental research, 2021-02, Vol.45 (2), p.318-328</ispartof><rights>2020 by the Research Society on Alcoholism</rights><rights>2020 by the Research Society on Alcoholism.</rights><rights>2021 Research Society on Alcoholism</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4488-c805f88404c98ce88201c3d539a86f5f7da8ac894c0f2b3d8c8f9698848a13533</citedby><cites>FETCH-LOGICAL-c4488-c805f88404c98ce88201c3d539a86f5f7da8ac894c0f2b3d8c8f9698848a13533</cites><orcidid>0000-0002-1498-4333 ; 0000-0001-5504-5087 ; 0000-0002-1636-893X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Facer.14528$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Facer.14528$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33277923$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stephenson, Mallory</creatorcontrib><creatorcontrib>Bollepalli, Sailalitha</creatorcontrib><creatorcontrib>Cazaly, Emma</creatorcontrib><creatorcontrib>Salvatore, Jessica E.</creatorcontrib><creatorcontrib>Barr, Peter</creatorcontrib><creatorcontrib>Rose, Richard J.</creatorcontrib><creatorcontrib>Dick, Danielle</creatorcontrib><creatorcontrib>Kaprio, Jaakko</creatorcontrib><creatorcontrib>Ollikainen, Miina</creatorcontrib><title>Associations of Alcohol Consumption With Epigenome‐Wide DNA Methylation and Epigenetic Age Acceleration: Individual‐Level and Co‐twin Comparison Analyses</title><title>Alcoholism, clinical and experimental research</title><addtitle>Alcohol Clin Exp Res</addtitle><description>Background
DNA methylation may play a role in the progression from normative to problematic drinking and underlie adverse health outcomes associated with alcohol misuse. We examined the association between alcohol consumption and DNA methylation patterns using 3 approaches: a conventional epigenome‐wide association study (EWAS); a co‐twin comparison design, which controls for genetic and environmental influences that twins share; and a regression of age acceleration, defined as a discrepancy between chronological age and DNA methylation age, on alcohol consumption.
Methods
Participants came from the Finnish Twin Cohorts (FinnTwin12/FinnTwin16; N = 1,004; 55% female; average age = 23 years). Individuals reported the number of alcoholic beverages consumed in the past week, and epigenome‐wide DNA methylation was assessed in whole blood using the Infinium HumanMethylation450 BeadChip.
Results
In the EWAS, alcohol consumption was significantly related to methylation at 24 CpG sites. When evaluating whether differences between twin siblings (185 monozygotic pairs) in alcohol consumption predicted differences in DNA methylation, co‐twin comparisons replicated 4 CpG sites from the EWAS and identified 23 additional sites. However, when we examined qualitative differences in drinking patterns between twins (heavy drinker vs. light drinker/abstainer or moderate drinker vs. abstainer; 44 pairs), methylation patterns did not significantly differ within twin pairs. Finally, individuals who reported higher alcohol consumption also exhibited greater age acceleration, though results were no longer significant after controlling for genetic and environmental influences shared by co‐twins.
Conclusions
Our analyses offer insight into the associations between epigenetic variation and levels of alcohol consumption in young adulthood.
We used multiple approaches, including an epigenome‐wide association study (EWAS), co‐twin comparisons, and age acceleration analyses, to investigate DNA methylation patterns associated with alcohol consumption within a sample of Finnish twins. Our analyses emphasize the utility of co‐twin comparisons as a complementary approach to EWAS when developing a blood‐based biomarker for alcohol consumption. The co‐twin comparison design enables stronger inferences not possible in samples of unrelated individuals and differentiates valuable biomarkers from markers of correlated genetic or environmental liability.</description><subject>Adult</subject><subject>Age</subject><subject>Age Acceleration</subject><subject>Aging - blood</subject><subject>Aging - genetics</subject><subject>Alcohol</subject><subject>Alcohol Drinking - blood</subject><subject>Alcohol Drinking - epidemiology</subject><subject>Alcohol Drinking - genetics</subject><subject>Alcohol use</subject><subject>Alcoholic beverages</subject><subject>Alcoholism</subject><subject>Beverages</subject><subject>Cohort Studies</subject><subject>Co‐twin Comparisons</subject><subject>CpG islands</subject><subject>Cross-Sectional Studies</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA methylation</subject><subject>DNA Methylation - physiology</subject><subject>Drinking behavior</subject><subject>Epigenesis, Genetic - physiology</subject><subject>Epigenetics</subject><subject>Epigenome - physiology</subject><subject>epigenome‐wide association study</subject><subject>Female</subject><subject>Finland - epidemiology</subject><subject>FinnTwin12</subject><subject>Genome-Wide Association Study - methods</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Twins</subject><subject>Twins, Dizygotic - genetics</subject><subject>Twins, Monozygotic - genetics</subject><subject>Young Adult</subject><issn>0145-6008</issn><issn>1530-0277</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc9u1DAQxi0EokvhwgMgS9yQUuw4yU44IEVhKZW2ICFQj5brTHZdOXGwk632xiPwBrxbnwTvn1ZwwRd7Zn7zzVgfIS85O-PxvFUa_RnP8hQekRnPBUtYOp8_JjMWk0nBGJyQZyHcMMYyKIqn5ESICJSpmJHfVQhOGzUa1wfqWlpZ7dbO0jrGUzfs8vTKjGu6GMwKe9fh3c9fV6ZB-uFzRS9xXG_tvpuqvjlCOBpNqxXSSmu06Pf1d_Sib8zGNJOyUWKJG7T7ntrFcLw1fXx1g_ImRLGqV3YbMDwnT1plA7443qfk-8fFt_pTsvxyflFXy0RnGUCigeUtQMYyXYJGgJRxLZpclAqKNm_njQKlocw0a9Nr0YCGtizK2AGKi1yIU_L-oDtM1x02GvvRKysHbzrlt9IpI_-t9GYtV24jgaeszHkUeH0U8O7HhGGUN27y8RdBplkcXJZ8ziL15kBp70Lw2D5M4EzuzJQ7M-XezAi_-nunB_TevQjwA3BrLG7_IyWrevH1IPoHmcKv1g</recordid><startdate>202102</startdate><enddate>202102</enddate><creator>Stephenson, Mallory</creator><creator>Bollepalli, Sailalitha</creator><creator>Cazaly, Emma</creator><creator>Salvatore, Jessica E.</creator><creator>Barr, Peter</creator><creator>Rose, Richard J.</creator><creator>Dick, Danielle</creator><creator>Kaprio, Jaakko</creator><creator>Ollikainen, Miina</creator><general>Wiley Subscription Services, Inc</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>7TK</scope><scope>K7.</scope><scope>K9.</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-1498-4333</orcidid><orcidid>https://orcid.org/0000-0001-5504-5087</orcidid><orcidid>https://orcid.org/0000-0002-1636-893X</orcidid></search><sort><creationdate>202102</creationdate><title>Associations of Alcohol Consumption With Epigenome‐Wide DNA Methylation and Epigenetic Age Acceleration: Individual‐Level and Co‐twin Comparison Analyses</title><author>Stephenson, Mallory ; Bollepalli, Sailalitha ; Cazaly, Emma ; Salvatore, Jessica E. ; Barr, Peter ; Rose, Richard J. ; Dick, Danielle ; Kaprio, Jaakko ; Ollikainen, Miina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4488-c805f88404c98ce88201c3d539a86f5f7da8ac894c0f2b3d8c8f9698848a13533</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Age</topic><topic>Age Acceleration</topic><topic>Aging - blood</topic><topic>Aging - genetics</topic><topic>Alcohol</topic><topic>Alcohol Drinking - blood</topic><topic>Alcohol Drinking - epidemiology</topic><topic>Alcohol Drinking - genetics</topic><topic>Alcohol use</topic><topic>Alcoholic beverages</topic><topic>Alcoholism</topic><topic>Beverages</topic><topic>Cohort Studies</topic><topic>Co‐twin Comparisons</topic><topic>CpG islands</topic><topic>Cross-Sectional Studies</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>DNA methylation</topic><topic>DNA Methylation - physiology</topic><topic>Drinking behavior</topic><topic>Epigenesis, Genetic - physiology</topic><topic>Epigenetics</topic><topic>Epigenome - physiology</topic><topic>epigenome‐wide association study</topic><topic>Female</topic><topic>Finland - epidemiology</topic><topic>FinnTwin12</topic><topic>Genome-Wide Association Study - methods</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Twins</topic><topic>Twins, Dizygotic - genetics</topic><topic>Twins, Monozygotic - genetics</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stephenson, Mallory</creatorcontrib><creatorcontrib>Bollepalli, Sailalitha</creatorcontrib><creatorcontrib>Cazaly, Emma</creatorcontrib><creatorcontrib>Salvatore, Jessica E.</creatorcontrib><creatorcontrib>Barr, Peter</creatorcontrib><creatorcontrib>Rose, Richard J.</creatorcontrib><creatorcontrib>Dick, Danielle</creatorcontrib><creatorcontrib>Kaprio, Jaakko</creatorcontrib><creatorcontrib>Ollikainen, Miina</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Alcoholism, clinical and experimental research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stephenson, Mallory</au><au>Bollepalli, Sailalitha</au><au>Cazaly, Emma</au><au>Salvatore, Jessica E.</au><au>Barr, Peter</au><au>Rose, Richard J.</au><au>Dick, Danielle</au><au>Kaprio, Jaakko</au><au>Ollikainen, Miina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations of Alcohol Consumption With Epigenome‐Wide DNA Methylation and Epigenetic Age Acceleration: Individual‐Level and Co‐twin Comparison Analyses</atitle><jtitle>Alcoholism, clinical and experimental research</jtitle><addtitle>Alcohol Clin Exp Res</addtitle><date>2021-02</date><risdate>2021</risdate><volume>45</volume><issue>2</issue><spage>318</spage><epage>328</epage><pages>318-328</pages><issn>0145-6008</issn><eissn>1530-0277</eissn><abstract>Background
DNA methylation may play a role in the progression from normative to problematic drinking and underlie adverse health outcomes associated with alcohol misuse. We examined the association between alcohol consumption and DNA methylation patterns using 3 approaches: a conventional epigenome‐wide association study (EWAS); a co‐twin comparison design, which controls for genetic and environmental influences that twins share; and a regression of age acceleration, defined as a discrepancy between chronological age and DNA methylation age, on alcohol consumption.
Methods
Participants came from the Finnish Twin Cohorts (FinnTwin12/FinnTwin16; N = 1,004; 55% female; average age = 23 years). Individuals reported the number of alcoholic beverages consumed in the past week, and epigenome‐wide DNA methylation was assessed in whole blood using the Infinium HumanMethylation450 BeadChip.
Results
In the EWAS, alcohol consumption was significantly related to methylation at 24 CpG sites. When evaluating whether differences between twin siblings (185 monozygotic pairs) in alcohol consumption predicted differences in DNA methylation, co‐twin comparisons replicated 4 CpG sites from the EWAS and identified 23 additional sites. However, when we examined qualitative differences in drinking patterns between twins (heavy drinker vs. light drinker/abstainer or moderate drinker vs. abstainer; 44 pairs), methylation patterns did not significantly differ within twin pairs. Finally, individuals who reported higher alcohol consumption also exhibited greater age acceleration, though results were no longer significant after controlling for genetic and environmental influences shared by co‐twins.
Conclusions
Our analyses offer insight into the associations between epigenetic variation and levels of alcohol consumption in young adulthood.
We used multiple approaches, including an epigenome‐wide association study (EWAS), co‐twin comparisons, and age acceleration analyses, to investigate DNA methylation patterns associated with alcohol consumption within a sample of Finnish twins. Our analyses emphasize the utility of co‐twin comparisons as a complementary approach to EWAS when developing a blood‐based biomarker for alcohol consumption. The co‐twin comparison design enables stronger inferences not possible in samples of unrelated individuals and differentiates valuable biomarkers from markers of correlated genetic or environmental liability.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>33277923</pmid><doi>10.1111/acer.14528</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-1498-4333</orcidid><orcidid>https://orcid.org/0000-0001-5504-5087</orcidid><orcidid>https://orcid.org/0000-0002-1636-893X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Age Age Acceleration Aging - blood Aging - genetics Alcohol Alcohol Drinking - blood Alcohol Drinking - epidemiology Alcohol Drinking - genetics Alcohol use Alcoholic beverages Alcoholism Beverages Cohort Studies Co‐twin Comparisons CpG islands Cross-Sectional Studies Deoxyribonucleic acid DNA DNA methylation DNA Methylation - physiology Drinking behavior Epigenesis, Genetic - physiology Epigenetics Epigenome - physiology epigenome‐wide association study Female Finland - epidemiology FinnTwin12 Genome-Wide Association Study - methods Humans Longitudinal Studies Male Twins Twins, Dizygotic - genetics Twins, Monozygotic - genetics Young Adult |
title | Associations of Alcohol Consumption With Epigenome‐Wide DNA Methylation and Epigenetic Age Acceleration: Individual‐Level and Co‐twin Comparison Analyses |
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