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We examined the association between alcohol consumption and DNA methylation patterns using 3 approaches: a conventional epigenome\u2010wide association study (EWAS); a co\u2010twin 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Participants came from the Finnish Twin Cohorts (FinnTwin12\/FinnTwin16; <jats:italic>N<\/jats:italic>\u00a0=\u00a01,004; 55% female; average age\u00a0=\u00a023\u00a0years). Individuals reported the number of alcoholic beverages consumed in the past week, and epigenome\u2010wide DNA methylation was assessed in whole blood using the Infinium HumanMethylation450 BeadChip.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>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\u2010twin 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\u2010twins.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Our analyses offer insight into the associations between epigenetic variation and levels of alcohol consumption in young adulthood.<\/jats:p><\/jats:sec>","DOI":"10.1111\/acer.14528","type":"journal-article","created":{"date-parts":[[2020,12,5]],"date-time":"2020-12-05T10:24:46Z","timestamp":1607163886000},"page":"318-328","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Associations of Alcohol Consumption With Epigenome\u2010Wide DNA Methylation and Epigenetic Age Acceleration: Individual\u2010Level and Co\u2010twin Comparison Analyses"],"prefix":"10.1111","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1498-4333","authenticated-orcid":false,"given":"Mallory","family":"Stephenson","sequence":"first","affiliation":[{"name":"From the Department of Psychology (MS, JES, PB, DD) Virginia Commonwealth University Richmond Virginia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sailalitha","family":"Bollepalli","sequence":"additional","affiliation":[{"name":"Institute for Molecular Medicine Finland (FIMM) (SB, EC, JK, MO) University of Helsinki Helsinki Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emma","family":"Cazaly","sequence":"additional","affiliation":[{"name":"Institute for Molecular Medicine Finland (FIMM) (SB, EC, JK, MO) University of Helsinki Helsinki Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5504-5087","authenticated-orcid":false,"given":"Jessica 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