Polygenic Risk Score Prediction of Alcohol Dependence Symptoms Across Population-Based and Clinically Ascertained Samples.
Jeanne E SavageJessica E SalvatoreFazil AlievAlexis C EdwardsMatthew HickmanKenneth S KendlerJohn MacleodAntti LatvalaAnu LoukolaJaakko KaprioRichard J RoseGrace ChanVictor HesselbrockBradley T WebbAmy AdkinsTim B BigdeliBrien P RileyDanielle M DickPublished in: Alcoholism, clinical and experimental research (2018)
Though preliminary, these results provide suggestive evidence of differences in the genetic etiology of AUDs based on sample characteristics such as treatment-seeking status, which may index other important clinical or demographic factors that moderate genetic influences. Although the variance accounted for by genomewide polygenic scores remains low, future studies could improve gene identification efforts by amassing very large samples, or reducing genetic heterogeneity by informing analyses with other phenotypic information such as sample characteristics. Multiple complementary approaches may be needed to make progress in gene identification for this complex disorder.