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PNAS Plus: Genetic analysis of social-class mobility in five longitudinal studies

机译:PNAS Plus:五个纵向研究中的社会阶层流动性的遗传分析

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摘要

A summary genetic measure, called a “polygenic score,” derived from a genome-wide association study (GWAS) of education can modestly predict a person’s educational and economic success. This prediction could signal a biological mechanism: Education-linked genetics could encode characteristics that help people get ahead in life. Alternatively, prediction could reflect social history: People from well-off families might stay well-off for social reasons, and these families might also look alike genetically. A key test to distinguish biological mechanism from social history is if people with higher education polygenic scores tend to climb the social ladder beyond their parents’ position. Upward mobility would indicate education-linked genetics encodes characteristics that foster success. We tested if education-linked polygenic scores predicted social mobility in >20,000 individuals in five longitudinal studies in the United States, Britain, and New Zealand. Participants with higher polygenic scores achieved more education and career success and accumulated more wealth. However, they also tended to come from better-off families. In the key test, participants with higher polygenic scores tended to be upwardly mobile compared with their parents. Moreover, in sibling-difference analysis, the sibling with the higher polygenic score was more upwardly mobile. Thus, education GWAS discoveries are not mere correlates of privilege; they influence social mobility within a life. Additional analyses revealed that a mother’s polygenic score predicted her child’s attainment over and above the child’s own polygenic score, suggesting parents’ genetics can also affect their children’s attainment through environmental pathways. Education GWAS discoveries affect socioeconomic attainment through influence on individuals’ family-of-origin environments and their social mobility.
机译:来自全基因组关联教育(GWAS)的概括性遗传测度(称为“多基因分数”)可以适度地预测一个人的教育和经济成就。这一预测可能暗示了一种生物学机制:与教育相关的遗传学可以编码有助于人们生活的特征。另外,预测可以反映社会历史:小康家庭的人可能出于社会原因而生活在小康状态,而且这些家庭在基因上也可能看起来相似。区分生物学机制与社会历史的一项关键测试是,具有较高多基因得分的人是否倾向于超越父母地位而登上社会阶梯。向上流动将表明与教育相关的遗传基因编码有助于成功的特征。在美国,英国和新西兰的五项纵向研究中,我们测试了与教育相关的多基因评分是否预测了超过20,000个人的社交活动。多基因得分较高的参与者获得了更多的教育和职业成就,并积累了更多的财富。但是,他们也往往来自富裕家庭。在关键测试中,与父母相比,多基因得分较高的参与者倾向于向上移动。此外,在同胞差异分析中,具有较高多基因得分的同胞更容易向上移动。因此,教育GWAS的发现不仅是特权的关联;更重要的是,它们影响生活中的社会流动性。进一步的分析显示,母亲的多基因得分预测了她的孩子的成就,超过了孩子自己的多基因得分,这表明父母的遗传学也可以通过环境途径影响孩子的成就。教育GWAS的发现通过影响个人的原籍家庭环境及其社会流动性来影响社会经济成就。

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