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发育心理病理学中基因-环境相互作用的荟萃分析。

Meta-analysis of gene-environment interactions in developmental psychopathology.

作者信息

Taylor Alan, Kim-Cohen Julia

机构信息

Social, Genetic and Developmental Psychiatry Centre, Box Number PO80, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK.

出版信息

Dev Psychopathol. 2007 Fall;19(4):1029-37. doi: 10.1017/S095457940700051X.

Abstract

As studies of measured gene-environment interactions (G x E) in developmental psychopathology gain momentum, methods for systematically and quantitatively summarizing effects across multiple studies are urgently needed. Meta-analyses of G x E findings are critical for evaluating the overall statistical and theoretical significance of any given G x E based on cumulative and systematically combined knowledge. Although meta-analytic methods for the combination of study findings based on single effect measures such as odds ratios and mean differences are well established, equivalent methods for the meta-analysis of studies investigating interactions are not well developed. This article describes one simple approach to the meta-analysis of G x E effects using, as a contemporaneous example, the interaction of the monoamine oxidase A (MAOA) gene and the impact of childhood maltreatment on risk for developing antisocial behavior.

摘要

随着发育心理病理学中测量基因-环境相互作用(G×E)的研究不断发展,迫切需要系统且定量地总结多项研究结果的方法。对G×E研究结果进行荟萃分析,对于基于累积且系统整合的知识来评估任何给定G×E的总体统计和理论意义至关重要。尽管基于单一效应量(如比值比和均值差异)来合并研究结果的荟萃分析方法已经成熟,但用于研究相互作用的荟萃分析的等效方法尚未得到充分发展。本文以单胺氧化酶A(MAOA)基因与童年期虐待对反社会行为发生风险的相互作用为例,描述了一种简单的G×E效应荟萃分析方法。

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