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Polygenic ScoresPredict AlcoholProblems in anIndependent Sampleand Show Moderationby the Environment Jessica E. SalvatoreFazil AlıevAlexis C. Edwards2014 год

Polygenic Scores Predict Alcohol Problems in an Independent Sample and Show Moderation by the Environment
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Аннотация: Alcohol problems represent a classic example of a complex behavioral outcome that is likely influenced by many genes of small effect. A polygenic approach, which examines aggregate measured genetic effects, can have predictive power in cases where individual genes or genetic variants do not. In the current study, we first tested whether polygenic risk for alcohol problems-derived from genome-wide association estimates of an alcohol problems factor score from the age 18 assessment of the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 4304 individuals of European descent; 57% female)-predicted alcohol problems earlier in development (age 14) in an independent sample (FinnTwin12; n = 1162; 53% female). We then tested whether environmental factors (parental knowledge and peer deviance) moderated polygenic risk to predict alcohol problems in the FinnTwin12 sample. We found evidence for both polygenic association and for additive polygene-environment interaction. Higher polygenic scores predicted a greater number of alcohol problems (range of Pearson partial correlations 0.07-0.08, all p-values ≤ 0.01). Moreover, genetic influences were significantly more pronounced under conditions of low parental knowledge or high peer deviance (unstandardized regression coefficients (b), p-values (p), and percent of variance (R2) accounted for by interaction terms: b = 1.54, p = 0.02, R2 = 0.33%; b = 0.94, p = 0.04, R2 = 0.30%, respectively). Supplementary set-based analyses indicated that the individual top single nucleotide polymorphisms (SNPs) contributing to the polygenic scores were not individually enriched for gene-environment interaction. Although the magnitude of the observed effects are small, this study illustrates the usefulness of polygenic approaches for understanding the pathways by which measured genetic predispositions come together with environmental factors to predict complex behavioral outcomes.
Год издания: 2014
Авторы: Jessica E. Salvatore, Fazil Alıev, Alexis C. Edwards, David M. Evans, John Macleod, Matthew Hickman, Glyn Lewis, Kenneth S. Kendler, Anu Loukola, Tellervo Korhonen, Antti Latvala, Richard J. Rose, Jaakko Kaprio, Danielle M. Dick
Издательство: Multidisciplinary Digital Publishing Institute
Источник: Genes
Ключевые слова: Genetic Associations and Epidemiology, Epigenetics and DNA Methylation, Substance Abuse Treatment and Outcomes
Другие ссылки: Genes (PDF)
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DOAJ (DOAJ: Directory of Open Access Journals) (HTML)
Europe PMC (PubMed Central) (PDF)
Europe PMC (PubMed Central) (HTML)
PubMed Central (HTML)
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