1. Sibling comparisons elucidate the associations between educational attainment polygenic scores and alcohol, nicotine and cannabis.
- Author
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Salvatore, Jessica, Barr, Peter, Stephenson, Mallory, Aliev, Fazil, Kuo, Sally, Su, Jinni, Agrawal, Arpana, Almasy, Laura, Bierut, Laura, Bucholz, Kathleen, Chan, Grace, Edenberg, Howard, Johnson, Emma, McCutcheon, Vivia, Meyers, Jacquelyn, Tischfield, Jay, Wetherill, Leah, Dick, Danielle, and Schuckit, Marc
- Subjects
Alcohol ,Collaborative Study on the Genetics of Alcoholism ,cannabis ,nicotine ,polygenic risk score ,sibling comparisons ,Adult ,Aged ,Aged ,80 and over ,Alcoholism ,Diagnostic and Statistical Manual of Mental Disorders ,Educational Status ,Female ,Genome-Wide Association Study ,Humans ,Male ,Marijuana Abuse ,Middle Aged ,Multifactorial Inheritance ,Siblings ,Substance-Related Disorders ,Tobacco Use Disorder ,United States ,White People - Abstract
BACKGROUND 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
- Published
- 2020