Variance components models for gene-environment interaction in twin analysis
Variance components models for gene-environment interaction in twin analysis
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DOI：
10.1375/136905202762342035
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发表时间：
2002-12-01
期刊：
影响因子：
--
通讯作者：
Purcell, S
中科院分区：
文献类型：
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作者：
Purcell, S
基因-环境相互作用可能是复杂行为特征变异的常见且重要的来源。通常将其概念化为对环境敏感性的遗传控制，可以通过将遗传效应划分为独立于环境的平均部分和环境的线性函数部分，将其纳入方差分量双胞胎分析中。该模型允许一个或多个环境调节变量（可能彼此相互作用），这些变量可以是i）连续的或二元的ii）一对双胞胎之间的差异iii）与残留环境以及遗传效应相互作用iv）具有非线性调节特性v）显示标量（不同幅度）或定性（不同基因）相互作用vi）与作用于性状的遗传效应相关，以便在存在基因-环境相关性的情况下测试基因-环境相互作用。在个体差异双胞胎分析和姊妹对数量性状基因座连锁分析（Purcell & Sham，2002）中，通过模拟探讨了一类模型的方面和应用。除了阐明环境途径之外，在定量和分子研究中考虑基因与环境的相互作用也将有可能指导和加强基因作图工作。
Gene-environment interaction is likely to be a common and important source of variation for complex behavioral traits. Often conceptualized as the genetic control of sensitivity to the environment, it can be incorporated in variance components twin analyses by partitioning genetic effects into a mean part, which is independent of the environment, and a part that is a linear function of the environment. The model allows for one or more environmental moderator variables (that possibly interact with each other) that may i) be continuous or binary ii) differ between twins within a pair iii) interact with residual environmental as well as genetic effects iv) have nonlinear moderating properties v) show scalar (different magnitudes) or qualitative (different genes) interactions vi) be correlated with genetic effects acting upon the trait, to allow for a test of gene-environment interaction in the presence of gene-environment correlation. Aspects and applications of a class of models are explored by simulation, in the context of both individual differences twin analysis and, in a companion paper (Purcell & Sham, 2002) sibpair quantitative trait locus linkage analysis. As well as elucidating environmental pathways, consideration of gene-environment interaction in quantitative and molecular studies will potentially direct and enhance gene-mapping efforts.