Alcohol use is prevalent among young adults, with significant rates of binge drinking and frequent reports of both positive and negative consequences. The current study investigates how positive drinking consequences influence subsequent incentives ratings and drinking behavior. Utilizing mobile daily diary data from 104 young adults over two weeks (event N = 507), we assessed the impact of event-specific positive consequences on future incentive ratings and drinking quantity.
View Article and Find Full Text PDFGenome-wide association studies (GWASs) have identified tens of thousands of disease associated variants and provided critical insights into developing effective treatments. However, limited sample sizes have hindered the discovery of variants for uncommon and rare diseases. Here, we introduce KGWAS, a novel geometric deep learning method that leverages a massive functional knowledge graph across variants and genes to improve detection power in small-cohort GWASs significantly.
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