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儿童虐待、适应功能和多基因风险:结构方程混合模型。

Child maltreatment, adaptive functioning, and polygenic risk: A structural equation mixture model.

机构信息

University of Minnesota.

Georgia State University.

出版信息

Dev Psychopathol. 2019 May;31(2):443-456. doi: 10.1017/S0954579419000014. Epub 2019 Mar 6.

DOI:10.1017/S0954579419000014
PMID:30837010
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6988177/
Abstract

This study used a structural equation mixture model to examine associations between child maltreatment, polygenic risk, and indices of adaptive functioning. Children aged 6 to 13 years (N = 1,004), half maltreated, half nonmaltreated, were recruited to attend a research day camp. Multi-informant indicators of prosocial behavior, antisocial behavior, withdrawn behavior, and depression were collected and used in a latent class analysis. Four classes emerged, characterizing "well-adjusted," "externalizing," "internalizing," and "socially dominant" groups. Twelve genetic variants, previously reported in the Gene × Environment literature, were modeled as one weighted polygenic risk score. Large main effects between maltreatment and adaptive functioning were observed (Wald = 35.3, df = 3, p < .0001), along with evidence of a small Gene × Environment effect (Wald = 13.5, df = 3, p = .004), adjusting for sex, age, and covariate interaction effects.

摘要

本研究采用结构方程混合模型,考察了儿童虐待、多基因风险与适应功能指标之间的关系。招募了 6 至 13 岁的儿童(N=1004),一半是受虐待的,一半是非受虐待的,参加研究日营。收集了亲社会行为、反社会行为、退缩行为和抑郁的多信息指标,并用于潜在类别分析。四个类别出现,描述了“适应良好”、“外化”、“内化”和“社会主导”群体。此前在基因×环境文献中报道的 12 种遗传变异被建模为一个加权多基因风险评分。观察到虐待和适应功能之间存在较大的主效应(Wald = 35.3,df = 3,p <.0001),同时也有证据表明基因×环境的小效应(Wald = 13.5,df = 3,p =.004),调整了性别、年龄和协变量交互作用的影响。

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Commentary: Fundamental problems with candidate gene-by-environment interaction studies - reflections on Moore and Thoemmes (2016).评论:候选基因与环境相互作用研究的基本问题——对摩尔和托埃姆斯(2016年)的思考
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