Center for Child and Family Studies, Leiden University, 2333 AK Leiden, The Netherlands; email:
Annu Rev Psychol. 2015 Jan 3;66:381-409. doi: 10.1146/annurev-psych-010814-015407. Epub 2014 Aug 11.
The efficacy of interventions might be underestimated or even go undetected as a main effect when it is hidden in gene-by-environment (G×E) interactions. This review moves beyond the problems thwarting correlational G×E research to propose genetic differential susceptibility experiments. G×E experiments can test the bright side as well as the dark side of the moderating role of genotypes traditionally considered to represent vulnerability to negative conditions. The differential susceptibility model predicts that carriers of these risk genotypes profit most from interventions changing the environment for the better. The evolutionary background of G×E and differential susceptibility is discussed, and statistical methods for the analysis of differential susceptibility (versus diathesis stress) are reviewed. Then, based on results from 22 randomized G×E experiments, meta-analytic evidence for the differential susceptibility model is presented. Intervention effects are much stronger in the susceptible genotypes than in the nonsusceptible genotypes. The final sections suggest possibilities to broaden the G component in the G×E equation by including genetic pathways, and to broaden the E component by including methylation level and gene expression as promising ways to probe the concept of the environment more deeply and address the perennial issue of what works for whom.
当干预措施的效果隐藏在基因-环境(G×E)相互作用中时,其可能会被低估,甚至作为主要效应而未被发现。本综述不仅探讨了阻碍相关 G×E 研究的问题,还提出了遗传差异易感性实验。G×E 实验可以检验传统上被认为易受负面条件影响的基因型的调节作用的阴暗面和光明面。差异易感性模型预测,这些风险基因型的携带者从改善环境的干预措施中获益最大。讨论了 G×E 和差异易感性的进化背景,并回顾了分析差异易感性(与素质应激)的统计方法。然后,基于 22 项随机 G×E 实验的结果,提出了差异易感性模型的荟萃分析证据。在易感基因型中,干预效果比非易感基因型强得多。最后部分提出了通过纳入遗传途径来扩大 G×E 方程中 G 成分的可能性,并通过纳入甲基化水平和基因表达来扩大 E 成分的可能性,这是更深入地探究环境概念并解决长期存在的“对谁有效”问题的有前途的方法。