Sibling Comparisons Elucidate the Associations between Educational Attainment Polygenic Scores and Alcohol, Nicotine, and Cannabis

dc.contributor.authorSalvatore, Jessica E.
dc.contributor.authorBarr, Peter B.
dc.contributor.authorStephenson, Mallory
dc.contributor.authorAliev, Fazil
dc.contributor.authorI-Chun Kuo, Sally
dc.contributor.authorSu, Jinni
dc.contributor.authorAgrawal, Arpana
dc.contributor.authorAlmasy, Laura
dc.contributor.authorBierut, Laura
dc.contributor.authorBucholz, Kathleen
dc.contributor.authorChan, Grace
dc.contributor.authorEdenberg, Howard J.
dc.contributor.authorJohnson, Emma C.
dc.contributor.authorMcCutcheon, Vivia V.
dc.contributor.authorMeyers, Jacquelyn L.
dc.contributor.authorSchuckit, Marc
dc.contributor.authorTischfield, Jay
dc.contributor.authorWetherill, Leah
dc.contributor.authorDick, Danielle M.
dc.contributor.departmentBiochemistry and Molecular Biology, School of Medicineen_US
dc.date.accessioned2022-05-24T12:10:19Z
dc.date.available2022-05-24T12:10:19Z
dc.date.issued2020-02
dc.description.abstractBackground and aims: The associations between low educational attainment and substance use disorders (SUDs) may be related to a common genetic vulnerability. We aimed to elucidate the associations between polygenic scores for educational attainment and clinical criterion counts for three SUDs (alcohol, nicotine and cannabis). Design: Polygenic association and sibling comparison methods. The latter strengthens inferences in observational research by controlling for confounding factors that differ between families. Setting: Six sites in the United States. Participants: European ancestry participants aged 25 years and older from the Collaborative Study on the Genetics of Alcoholism (COGA). Polygenic association analyses included 5582 (54% female) participants. Sibling comparisons included 3098 (52% female) participants from 1226 sibling groups nested within the overall sample. Measurements: Outcomes included criterion counts for DSM-5 alcohol use disorder (AUDSX), Fagerström nicotine dependence (NDSX) and DSM-5 cannabis use disorder (CUDSX). We derived polygenic scores for educational attainment (EduYears-GPS) using summary statistics from a large (> 1 million) genome-wide association study of educational attainment. Findings: In polygenic association analyses, higher EduYears-GPS predicted lower AUDSX, NDSX and CUDSX [P < 0.01, effect sizes (R2 ) ranging from 0.30 to 1.84%]. These effects were robust in sibling comparisons, where sibling differences in EduYears-GPS predicted all three SUDs (P < 0.05, R2 0.13-0.20%). Conclusions: Individuals who carry more alleles associated with educational attainment tend to meet fewer clinical criteria for alcohol, nicotine and cannabis use disorders, and these effects are robust to rigorous controls for potentially confounding factors that differ between families (e.g. socio-economic status, urban-rural residency and parental education).en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationSalvatore JE, Barr PB, Stephenson M, et al. Sibling comparisons elucidate the associations between educational attainment polygenic scores and alcohol, nicotine and cannabis. Addiction. 2020;115(2):337-346. doi:10.1111/add.14815en_US
dc.identifier.urihttps://hdl.handle.net/1805/29130
dc.language.isoen_USen_US
dc.publisherWileyen_US
dc.relation.isversionof10.1111/add.14815en_US
dc.relation.journalAddictionen_US
dc.rightsPublisher Policyen_US
dc.sourcePMCen_US
dc.subjectAlcoholen_US
dc.subjectCannabisen_US
dc.subjectNicotineen_US
dc.subjectPolygenic risk scoreen_US
dc.subjectSibling comparisonsen_US
dc.titleSibling Comparisons Elucidate the Associations between Educational Attainment Polygenic Scores and Alcohol, Nicotine, and Cannabisen_US
dc.typeArticleen_US
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