The sociogenomics of polygenic scores of reproductive behavior and their relationship to other fertility traits

Journal article

Human reproductive behavior until relatively recently has been explained exclusively via individual and social characteristics. This article applies results from a recent Genome-Wide Association Study that combined sixty-two data sources to isolate twelve genetic loci associated with reproductive behavior. We create polygenic scores that allow us to include a summary variable of genetic factors into our statistical models. We use four datasets: the U.S. Health and Retirement Study, Dutch LifeLines, TwinsUK and the Swedish Twin register. First, we provide a brief overview of the dominant explanations of reproductive behavior. Second, we test the predictive power of polygenic scores. Third, we interrogate the robustness of our models using a series of sensitivity analyses to take into account possible confounders due to population stratification and selection.

Authors: Mills, M; Barban, N; Tropf, F

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Russell Sage Foundation
• Journal: RSF: The Russell Sage Foundation Journal of the Social Sciences
• Volume: 4
• Issue: 4
• Pages: 122–136
• Publication date: 2018-04-04
• Acceptance date: 2017-07-19
• DOI: 10.7758/RSF.2018.4.4.07
• EISSN: 2377-8261
• ISSN: 2377-8253
• Keywords: polygenic scores; educational attainment; genetics; age at first birth; number of children ever born; fertility; human reproduction