Belsky Daniel W, Moffitt Terrie E, Corcoran David L, Domingue Benjamin, Harrington HonaLee, Hogan Sean, Houts Renate, Ramrakha Sandhya, Sugden Karen, Williams Benjamin S, Poulton Richie, Caspi Avshalom
Department of Medicine, Duke University School of Medicine Social Science Research Institute, Duke University
Department of Psychology & Neuroscience, Duke University Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine Center for Genomic and Computational Biology, Duke University MRC Social, Genetic & Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London.
Psychol Sci. 2016 Jul;27(7):957-72. doi: 10.1177/0956797616643070. Epub 2016 Jun 1.
A previous genome-wide association study (GWAS) of more than 100,000 individuals identified molecular-genetic predictors of educational attainment. We undertook in-depth life-course investigation of the polygenic score derived from this GWAS using the four-decade Dunedin Study (N = 918). There were five main findings. First, polygenic scores predicted adult economic outcomes even after accounting for educational attainments. Second, genes and environments were correlated: Children with higher polygenic scores were born into better-off homes. Third, children's polygenic scores predicted their adult outcomes even when analyses accounted for their social-class origins; social-mobility analysis showed that children with higher polygenic scores were more upwardly mobile than children with lower scores. Fourth, polygenic scores predicted behavior across the life course, from early acquisition of speech and reading skills through geographic mobility and mate choice and on to financial planning for retirement. Fifth, polygenic-score associations were mediated by psychological characteristics, including intelligence, self-control, and interpersonal skill. Effect sizes were small. Factors connecting DNA sequence with life outcomes may provide targets for interventions to promote population-wide positive development.
此前一项针对超过10万名个体的全基因组关联研究(GWAS)确定了受教育程度的分子遗传学预测指标。我们利用长达40年的达尼丁研究(N = 918),对源自该GWAS的多基因分数进行了深入的生命历程调查。有五项主要发现。第一,即使在考虑了受教育程度之后,多基因分数仍能预测成年人的经济状况。第二,基因与环境相互关联:多基因分数较高的儿童出生在更富裕的家庭。第三,儿童的多基因分数即使在分析中考虑了其社会阶层出身,仍能预测其成年后的状况;社会流动性分析表明,多基因分数较高的儿童比分数较低的儿童向上流动的可能性更大。第四,多基因分数预测了整个生命历程中的行为,从早期获得语言和阅读技能,到地理迁移、择偶,再到退休后的财务规划。第五,多基因分数关联由心理特征介导,包括智力、自我控制和人际交往能力。效应大小较小。将DNA序列与生活结果联系起来的因素可能为促进全人群积极发展的干预措施提供目标。