Interactions between Polygenic Scores and Environments: Methodological and Conceptual Challenges
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| Title: | Interactions between Polygenic Scores and Environments: Methodological and Conceptual Challenges |
|---|---|
| Language: | English |
| Authors: | Domingue, Benjamin W., Trejo, Sam, Armstrong-Carter, Emma, Tucker-Drob, Elliot M. |
| Source: | Grantee Submission. Sep 2020 7:465-486. |
| Peer Reviewed: | Y |
| Page Count: | 22 |
| Publication Date: | 2020 |
| Sponsoring Agency: | National Science Foundation (NSF), Division of Graduate Education (DGE) Institute of Education Sciences (ED) National Institutes of Health (NIH) (DHHS) |
| Contract Number: | DGE1656518 R305B140009 R01AG054628 R01MH120219 R01HD083613 |
| Document Type: | Journal Articles Reports - Descriptive |
| Descriptors: | Genetics, Environmental Influences, Scores, Interaction, Scientific Research, Measurement, Error of Measurement, Research Methodology, Models |
| DOI: | 10.15195/v7.a19 |
| 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 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. |
| Abstractor: | As Provided |
| IES Funded: | Yes |
| Entry Date: | 2022 |
| Accession Number: | ED618553 |
| Database: | ERIC |
| 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 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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| DOI: | 10.15195/v7.a19 |
