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基因-环境相互作用的生物统计学建模:理论与方法的交叉点以及对社会不平等的应用

Biometric Modeling of Gene-Environment Interplay: The Intersection of Theory and Method and Applications for Social Inequality.

作者信息

South Susan C, Hamdi Nayla R, Krueger Robert F

机构信息

Purdue University.

University of Minnesota.

出版信息

J Pers. 2017 Feb;85(1):22-37. doi: 10.1111/jopy.12231. Epub 2015 Nov 21.

Abstract

For more than a decade, biometric moderation models have been used to examine whether genetic and environmental influences on individual differences might vary within the population. These quantitative Gene × Environment interaction models have the potential to elucidate not only when genetic and environmental influences on a phenotype might differ, but also why, as they provide an empirical test of several theoretical paradigms that serve as useful heuristics to explain etiology-diathesis-stress, bioecological, differential susceptibility, and social control. In the current article, we review how these developmental theories align with different patterns of findings from statistical models of gene-environment interplay. We then describe the extant empirical evidence, using work by our own research group and others, to lay out genetically informative plausible accounts of how phenotypes related to social inequality-physical health and cognition-might relate to these theoretical models.

摘要

十多年来,生物特征调节模型一直被用于研究遗传和环境对个体差异的影响在人群中是否会有所不同。这些定量基因×环境交互模型不仅有可能阐明对某一表型的遗传和环境影响何时可能不同,还能解释其原因,因为它们为几种理论范式提供了实证检验,这些范式可作为解释病因-素质-应激、生物生态学、差异易感性和社会控制的有用启发式方法。在本文中,我们回顾了这些发展理论如何与基因-环境相互作用统计模型的不同研究结果模式相一致。然后,我们利用我们自己的研究小组和其他研究人员的工作,描述现有的实证证据,以阐述与社会不平等相关的表型——身体健康和认知——如何与这些理论模型相关的具有遗传学信息的合理解释。

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