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遗传风险与青少年期父母环境对青年期物质使用的相互作用:TRAILS 研究。

Interplay between genetic risk and the parent environment in adolescence and substance use in young adulthood: A TRAILS study.

机构信息

Behavioral Science Institute, Radboud University, Nijmegen, The Netherlands.

Trimbos Institute, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands.

出版信息

Dev Psychopathol. 2023 Feb;35(1):396-409. doi: 10.1017/S095457942100081X. Epub 2021 Sep 28.

DOI:10.1017/S095457942100081X
PMID:36914285
Abstract

Many adolescents start using tobacco, alcohol, and cannabis. Genetic vulnerability, parent characteristics in young adolescence, and interaction (GxE) and correlation (rGE) between these factors could contribute to the development of substance use. Using prospective data from the TRacking Adolescent Individuals' Lives Survey (TRAILS; = 1,645), we model latent parent characteristics in young adolescence to predict young adult substance use. Polygenic scores (PGS) are created based on genome-wide association studies (GWAS) for smoking, alcohol use, and cannabis use. Using structural equation modeling we model the direct, GxE, and rGE effects of parent factors and PGS on young adult smoking, alcohol use, and cannabis initiation. The PGS, parental involvement, parental substance use, and parent-child relationship quality predicted smoking. There was GxE such that the PGS amplified the effect of parental substance use on smoking. There was rGE between all parent factors and the smoking PGS. Alcohol use was not predicted by genetic or parent factors, nor by interplay. Cannabis initiation was predicted by the PGS and parental substance use, but there was no GxE or rGE. Genetic risk and parent factors are important predictors of substance use and show GxE and rGE in smoking. These findings can act as a starting point for identifying people at risk.

摘要

许多青少年开始使用烟草、酒精和大麻。遗传易感性、青少年早期的父母特征以及这些因素之间的相互作用(GxE)和相关性(rGE)可能导致物质使用的发展。本研究使用青少年生活轨迹研究(TRAILS)的前瞻性数据(n=1645),构建青少年早期潜在的父母特征模型来预测青少年后期的物质使用。基于全基因组关联研究(GWAS)构建了吸烟、饮酒和使用大麻的多基因评分(PGS)。使用结构方程模型,我们对父母因素和 PGS 对青少年后期吸烟、饮酒和大麻使用的直接、GxE 和 rGE 效应进行建模。PGS、父母参与、父母物质使用和亲子关系质量预测了吸烟。存在 GxE,即父母物质使用对吸烟的影响被放大。所有父母因素与吸烟 PGS 之间存在 rGE。遗传或父母因素以及相互作用都不能预测饮酒。大麻使用的预测因素是 PGS 和父母的物质使用,但不存在 GxE 或 rGE。遗传风险和父母因素是物质使用的重要预测因素,在吸烟中表现出 GxE 和 rGE。这些发现可以作为识别高危人群的起点。

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