2020
DOI: 10.1101/2020.07.29.227439
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Polygenic Scores Predict the Development of Alcohol and Nicotine Use Problems from Adolescence through Young Adulthood

Abstract: ImportanceMolecular genetic studies of alcohol and nicotine use have identified hundreds of genome-wide risk loci. Few studies have examined the influence of aggregate genetic risk on substance use trajectories over time.ObjectiveWe examined the predictive utility of drinking and smoking polygenic risk scores (PRS) for alcohol and nicotine use from late childhood to early adulthood, substance-specific versus broader-liability effects of the respective PRS, and if PRS performance varied between regular consumpt… Show more

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Cited by 3 publications
(3 citation statements)
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“…Our finding that all PGS and family history measures were associated with the use of multiple substances is in line with previous studies (e.g. Chang et al, 2019 ; Deak et al, 2020 ; Merikangas et al, 1998 ). However, we extend previous research by showing that all PGS associations remained significant even after adjusting for the corresponding family history measures.…”
Section: Discussionsupporting
confidence: 93%
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“…Our finding that all PGS and family history measures were associated with the use of multiple substances is in line with previous studies (e.g. Chang et al, 2019 ; Deak et al, 2020 ; Merikangas et al, 1998 ). However, we extend previous research by showing that all PGS associations remained significant even after adjusting for the corresponding family history measures.…”
Section: Discussionsupporting
confidence: 93%
“…Our finding that higher scores on multiple PGS and family history measures were associated with greater behavioral disinhibition at age 11 extends previous findings from this sample indicating that the Regular Smoking-PGS indexes broad genetic risk for multiple types of substance use and externalizing disorders (Deak et al, 2020 ; Hicks et al, 2021 ). The weaker associations with the Lifetime Cannabis Use-PGS and Nicotine Dependence-PGS that we observed could be attributable to a smaller number of pleiotropic alleles in these PGSs relative to the other polygenic risk measures, or simply to differences in sample size and heritability in the discovery GWASs used to develop each score (see Table 2 ).…”
Section: Discussionsupporting
confidence: 87%
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