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Genetic influences on the interactionist model of socioeconomic development: Incorporating polygenic scores for educational attainment into developmental research using the Family Transitions Project (FTP).
Developmental Psychology ( IF 3.1 ) Pub Date : 2021-02-01 , DOI: 10.1037/dev0000901
M Brent Donnellan 1 , Monica J Martin 2 , Jennifer M Senia 1
Affiliation  

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).

中文翻译:

遗传对社会经济发展互动模型的影响:使用家庭过渡项目 (FTP) 将教育程度的多基因分数纳入发展研究。

遗传和环境因素导致了一系列发展成果的可变性,包括社会经济地位 (SES)。挑战在于找到基于使用生物学相关家庭成员的研究(即不涉及双胞胎的研究)来整合遗传信息的方法。为了解决这个问题,我们为家庭过渡项目(例如,RD Conger & Conger,2002)计算了与教育程度相关的多基因分数(Lee 等人,2018),并将它们纳入由 RD Conger、Martin 和马萨里克,(2021)。多基因分数与观察到的家庭过渡项目所有相关成员的教育程度相关。此外,多基因评分与 RD Conger 等人中的许多其他结构相关。(2021)型号,指出遗传因素与 SES 获得过程模型的相关性。同时,RD Conger 等人描述的主要途径。(2021 年)在分析中包含多基因评分时仍然可行,这表明相互作用模型(例如,RD Conger、Conger 和 Martin,2010 年)预测的环境路径仍然成立。因此,当前的研究说明了如何将遗传信息包含在发育模型的测试中,以阐明跨代的 SES 成就。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)。表明交互主义模型(例如,RD Conger, Conger, & Martin, 2010)预测的环境路径仍然成立。因此,当前的研究说明了如何将遗传信息包含在发育模型的测试中,以阐明跨代的 SES 成就。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)。表明交互主义模型(例如,RD Conger, Conger, & Martin, 2010)预测的环境路径仍然成立。因此,当前的研究说明了如何将遗传信息包含在发育模型的测试中,以阐明跨代的 SES 成就。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)。
更新日期:2021-02-01
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