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遗传对社会经济发展的相互作用模型的影响:利用家庭转型项目(FTP)将教育程度的多基因分数纳入发展研究。

Genetic influences on the interactionist model of socioeconomic development: Incorporating polygenic scores for educational attainment into developmental research using the Family Transitions Project (FTP).

机构信息

Department of Psychology.

Department of Human Development and Family Sciences.

出版信息

Dev Psychol. 2021 Feb;57(2):180-190. doi: 10.1037/dev0000901.

Abstract

Genetic and environmental factors account for variability in a range of developmental outcomes, including socioeconomic status (SES). The challenge is to find ways to incorporate genetic information based on studies using biologically related family members (i.e., studies not involving twins). To address this issue, we computed polygenic scores associated with educational attainment (Lee et al., 2018) for the Family Transitions Project (e.g., R. D. Conger & Conger, 2002) and incorporated them into the model tested by R. D. Conger, Martin, and Masarik, (2021). Polygenic scores correlated with observed educational attainment for all relevant members of the Family Transitions Project. Moreover, polygenic scores were correlated with many of the other constructs in the R. D. Conger et al. (2021) model, pointing to the relevance of genetic factors for process models of SES attainment. At the same time, the primary pathways described by R. D. Conger et al. (2021) remained viable when polygenic scores were included in the analyses, suggesting that the environmental pathways predicted by the interactionist model (e.g., R. D. Conger, Conger, & Martin, 2010) are still tenable. The current study thereby illustrates how genetic information can be included in tests of developmental models to clarify SES attainment across generations. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

摘要

遗传和环境因素解释了一系列发展结果的可变性,包括社会经济地位(SES)。挑战在于找到一种方法,将基于使用具有生物学相关性的家庭成员(即不涉及双胞胎的研究)的研究中的遗传信息纳入其中。为了解决这个问题,我们为家庭转型项目(例如,R.D. Conger & Conger,2002)计算了与教育程度相关的多基因分数(Lee 等人,2018),并将其纳入 R.D. Conger,Martin 和 Masarik(2021)测试的模型中。多基因分数与家庭转型项目的所有相关成员的观察到的教育程度相关。此外,多基因分数与 R.D. Conger 等人(2021)模型中的许多其他结构相关,这表明遗传因素对于 SES 获得的过程模型具有相关性。与此同时,当多基因分数包含在分析中时,R.D. Conger 等人(2021)描述的主要途径仍然可行,这表明交互模型预测的环境途径(例如,R.D. Conger,Conger 和 Martin,2010)仍然可行。本研究说明了如何在发展模型的测试中纳入遗传信息,以阐明代际 SES 的获得。(PsycInfo 数据库记录(c)2021 APA,保留所有权利)。

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