Taylor Alan, Kim-Cohen Julia
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.
Dev Psychopathol. 2007 Fall;19(4):1029-37. doi: 10.1017/S095457940700051X.
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.
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。