Publication type
Journal Article
Authors
Publication date
April 15, 2018
Summary:
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.
Published in
RSF : The Russell Sage Foundation Journal of the Social Sciences
Volume and page numbers
Volume: 4 , p.122 -136
ISSN
23778253
Subjects
Link
- https://muse.jhu.edu/article/691678#info_wrap
Notes
This article is published under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License
Open Access
#525015