Development and Psychopathology

Research Article

Meta-analysis of gene–environment interactions in developmental psychopathology

Alan Taylora1 c1 and Julia Kim-Cohena2

a1 King's College London

a2 Yale University


As studies of measured gene–environment interactions (G × E) in developmental psychopathology gain momentum, methods for systematically and quantitatively summarizing effects across multiple studies are urgently needed. Meta-analyses of G × E findings are critical for evaluating the overall statistical and theoretical significance of any given G × 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 × 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.


We express our thanks to the authors who assisted us in preparing our meta-analysis by providing supplementary results from their published articles: Giovanni Frazzetto, John K. Hewitt, David Huizinga, Kent W. Nilsson, and Cathy S. Widom.