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dc.contributor.authorSalvatore, Jessica E
dc.contributor.authorSavage, Jeanne E
dc.contributor.authorBarr, Peter
dc.contributor.authorWolen, Aaron R
dc.contributor.authorAliev, Fazil
dc.contributor.authorVuoksimaa, Eero
dc.contributor.authorLatvala, Antti
dc.contributor.authorPulkkinen, Lea
dc.contributor.authorRose, Richard J
dc.contributor.authorKaprio, Jaakko
dc.contributor.authorDick, Danielle M
dc.date.accessioned2022-10-17T19:09:30Z
dc.date.available2022-10-17T19:09:30Z
dc.date.issued2017-12-19
dc.identifier.citationSalvatore JE, Savage JE, Barr P, Wolen AR, Aliev F, Vuoksimaa E, Latvala A, Pulkkinen L, Rose RJ, Kaprio J, Dick DM. Incorporating Functional Genomic Information to Enhance Polygenic Signal and Identify Variants Involved in Gene-by-Environment Interaction for Young Adult Alcohol Problems. Alcohol Clin Exp Res. 2018 Feb;42(2):413-423. doi: 10.1111/acer.13551. Epub 2017 Dec 19. PMID: 29121402; PMCID: PMC5785466.en_US
dc.identifier.eissn1530-0277
dc.identifier.doi10.1111/acer.13551
dc.identifier.pmid29121402
dc.identifier.urihttp://hdl.handle.net/20.500.12648/7783
dc.description.abstractBackground: Characterizing aggregate genetic risk for alcohol misuse and identifying variants involved in gene-by-environment (G × E) interaction effects has so far been a major challenge. We hypothesized that functional genomic information could be used to enhance detection of polygenic signal underlying alcohol misuse and to prioritize identification of single nucleotide polymorphisms (SNPs) most likely to exhibit G × E effects. Methods: We examined these questions in the young adult FinnTwin12 sample (n = 1,170). We used genomewide association estimates from an independent sample to derive 2 types of polygenic scores for alcohol problems in FinnTwin12. Genomewide polygenic scores included all SNPs surpassing a designated p-value threshold. DNase polygenic scores were a subset of the genomewide polygenic scores including only variants in DNase I hypersensitive sites (DHSs), which are open chromatin marks likely to index regions with a regulatory function. We conducted parallel analyses using height as a nonpsychiatric model phenotype to evaluate the consistency of effects. For the G × E analyses, we examined whether SNPs in DHSs were overrepresented among SNPs demonstrating significant G × E effects in an interaction between romantic relationship status and intoxication frequency. Results: Contrary to our expectations, we found that DNase polygenic scores were not more strongly predictive of alcohol problems than conventional polygenic scores. However, variants in DNase polygenic scores had per-SNP effects that were up to 1.4 times larger than variants in conventional polygenic scores. This same pattern of effects was also observed in supplementary analyses with height. In G × E models, SNPs in DHSs were modestly overrepresented among SNPs with significant interaction effects for intoxication frequency. Conclusions: These findings highlight the potential utility of integrating functional genomic annotation information to increase the signal-to-noise ratio in polygenic scores and identify genetic variants that may be most susceptible to environmental modification.en_US
dc.language.isoenen_US
dc.relation.urlhttps://onlinelibrary.wiley.com/doi/10.1111/acer.13551en_US
dc.rightsCopyright © 2017 by the Research Society on Alcoholism.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAlcoholen_US
dc.subjectFunctional Genomicsen_US
dc.subjectGene-Environment Interplayen_US
dc.subjectPolygenic Scoresen_US
dc.titleIncorporating Functional Genomic Information to Enhance Polygenic Signal and Identify Variants Involved in Gene-by-Environment Interaction for Young Adult Alcohol Problems.en_US
dc.typeArticle/Reviewen_US
dc.source.journaltitleAlcoholism, clinical and experimental researchen_US
dc.source.volume42
dc.source.issue2
dc.source.beginpage413
dc.source.endpage423
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryEngland
dc.description.versionAMen_US
refterms.dateFOA2022-10-17T19:09:30Z
dc.description.institutionSUNY Downstateen_US
dc.description.departmentPsychiatry and Behavioral Sciencesen_US
dc.description.degreelevelN/Aen_US
dc.identifier.journalAlcoholism, clinical and experimental research


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Copyright © 2017 by the Research Society on Alcoholism.
Except where otherwise noted, this item's license is described as Copyright © 2017 by the Research Society on Alcoholism.