Kandaswamy Radhika, Allegrini Andrea, Nancarrow Alexandra F, Cave Sophie Nicole, Plomin Robert, von Stumm Sophie
From the Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience (Kandaswamy, Allegrini, Plomin), King's College London, London; Department of Education (Nancarrow, von Stumm), University of York, Heslington, York, United Kingdom; and School of Psychology (Cave), University of Nottingham, Nottingham, United Kingdom.
Psychosom Med. 2022;84(2):244-250. doi: 10.1097/PSY.0000000000001005.
Alcohol use during emerging adulthood is associated with adverse life outcomes, but its risk factors are not well known. Here, we predicted alcohol use in 3153 young adults aged 22 years from a) genome-wide polygenic scores (GPS) based on genome-wide association studies for the target phenotypes number of drinks per week and Alcohol Use Disorders Identification Test scores, b) 30 environmental factors, and c) their interactions (i.e., G × E effects).
Data were collected from 1994 to 2018 as a part of the UK Twins Early Development Study.
GPS accounted for up to 1.9% of the variance in alcohol use (i.e., Alcohol Use Disorders Identification Test score), whereas the 30 measures of environmental factors together accounted for 21.1%. The 30 GPS by environment interactions did not explain any additional variance, and none of the interaction terms exceeded the significance threshold after correcting for multiple testing.
GPS and some environmental factors significantly predicted alcohol use in young adulthood, but we observed no GPS by environment interactions in our study.
成年初期饮酒与不良生活后果相关，但其风险因素尚不清楚。在此，我们基于全基因组关联研究的全基因组多基因评分（GPS），预测了3153名22岁年轻人的饮酒情况，这些评分针对的目标表型为每周饮酒量和酒精使用障碍识别测试分数；同时还考虑了30个环境因素及其相互作用（即基因×环境效应）。
作为英国双胞胎早期发展研究的一部分，数据收集于1994年至2018年。
GPS解释了饮酒情况（即酒精使用障碍识别测试分数）中高达1.9%的方差，而30个环境因素指标共同解释了21.1%的方差。30个基因与环境的相互作用并未解释任何额外的方差，在进行多重检验校正后，没有任何相互作用项超过显著性阈值。
GPS和一些环境因素显著预测了成年初期的饮酒情况，但在我们的研究中未观察到基因与环境的相互作用。
