Conley Dalton, Domingue Benjamin W, Cesarini David, Dawes Christopher, Rietveld Cornelius A, Boardman Jason D
New York University.
University of Colorado, Boulder.
Sociol Sci. 2015;2(6):82-105. doi: 10.15195/v2.a6. Epub 2015 Feb 25.
Parental education is the strongest measured predictor of offspring education, and thus many scholars see the parent-child correlation in educational attainment as an important measure of social mobility. But if social changes or policy interventions are going to have dynastic effects, we need to know what accounts for this intergenerational association, that is, whether it is primarily environmental or genetic in origin. Thus, to understand whether the estimated social influence of parental education on offspring education is biased owing to genetic inheritance (or moderated by it), we exploit the findings from a recent large genome-wide association study of educational attainment to construct a genetic score designed to predict educational attainment. Using data from two independent samples, we find that our genetic score significantly predicts years of schooling in both between-family and within-family analyses. We report three findings that should be of interest to scholars in the stratification and education fields. First, raw parent-child correlations in education may reflect one-sixth genetic transmission and five-sixths social inheritance. Second, conditional on a child's genetic score, a parental genetic score has no statistically significant relationship to the child's educational attainment. Third, the effects of offspring genotype do not seem to be moderated by measured sociodemographic variables at the parental level (but parent-child genetic interaction effects are significant). These results are consistent with the existence of two separate systems of ascription: genetic inheritance (a random lottery within families) and social inheritance (across-family ascription). We caution, however, that at the presently attainable levels of explanatory power, these results are preliminary and may change when better-powered genetic risk scores are developed.
父母的教育程度是所衡量的预测子女教育程度的最有力因素,因此许多学者将教育成就方面的亲子相关性视为社会流动性的一项重要指标。但是,如果社会变革或政策干预要产生代际影响,我们需要了解这种代际关联的成因,也就是说,其根源主要是环境因素还是基因因素。因此,为了了解父母教育程度对子女教育程度的估计社会影响是否因基因遗传而存在偏差(或受其调节),我们利用近期一项关于教育成就的大型全基因组关联研究的结果,构建了一个旨在预测教育成就的基因分数。利用来自两个独立样本的数据,我们发现在家庭间和家庭内分析中,我们的基因分数都能显著预测受教育年限。我们报告了三项分层和教育领域的学者可能感兴趣的研究结果。第一,教育方面原始的亲子相关性可能反映了六分之一的基因传递和六分之五的社会传承。第二,以孩子的基因分数为条件,父母的基因分数与孩子的教育成就没有统计学上的显著关系。第三,子代基因型的影响似乎不受父母层面所测量的社会人口统计学变量的调节(但亲子基因交互效应显著)。这些结果与存在两种独立的归因系统相一致:基因遗传(家庭内部的随机抽签)和社会传承(跨家庭归因)。然而,我们提醒,就目前可达到的解释力水平而言,这些结果是初步的,当开发出效力更强的基因风险分数时可能会发生变化。