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Interactions between Polygenic Scores and Environments: Methodological and Conceptual Challenges.
Domingue, Benjamin W; Trejo, Sam; Armstrong-Carter, Emma; Tucker-Drob, Elliot M.
Afiliação
  • Domingue BW; Stanford University.
  • Trejo S; University of Wisconsin-Madison.
  • Armstrong-Carter E; Stanford University.
  • Tucker-Drob EM; University of Texas at Austin.
Sociol Sci ; 7: 465-486, 2020 Sep.
Article em En | MEDLINE | ID: mdl-36091972
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 longitudinal 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 end by offering 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article