Interactions between polygenic scores and environments: Methodological and conceptual challenges

Benjamin Domingue, Sam Trejo, Emma Armstrong-Carter and Elliot M. Tucker-Drob
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Elliot M. Tucker-Drob: University of Texas at Austin

No u7sh4, SocArXiv from Center for Open Science

Abstract: Interest in the study of gene-environment interaction has recently grown due to the sudden availability of molecular genetic data—in particular, polygenic scores—in many long-running cohort studies. Identifying and estimating statistical interactions comes with several analytic and inferential challenges; these challenges are heightened when used to integrate observational genomic and social science data. We articulate some of these key challenges, provide new perspectives on the study of gene-environment interactions, and finally offer some practical guidance for conducting research in this area. Given the sudden availability of well-powered polygenic scores, we anticipate a substantial increase in research testing for interaction between such scores and environments. The issues we discuss, if not properly addressed, may impact the enduring scientific value of gene-environment interaction studies.

Date: 2020-05-26
New Economics Papers: this item is included in nep-env
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:u7sh4

DOI: 10.31219/osf.io/u7sh4

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