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Polygenic Scores for Plasticity

A New Tool for Studying Gene–Environment Interplay

Dados Bibliográficos

ID21030641
AutoresR A Johnson (0000-0003-2475-6622, Georgetown University), Ramina Sotoudeh (0000-0002-1716-017X, Nuffield College, University of Oxford, Oxford, UK), D Conley (0000-0002-5174-7222, Princeton University, autor correspondente)
Ano2022
Volume59
Fascículo3
Páginas1045-1070
Data de publicação2022-06-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoDemography (JOURNAL)
Identificadores do periódicoISSN: 0070-3370 • E-ISSN: 1533-7790
EditoraDuke University Press (PUBLISHER • US)
DOI10.1215/00703370-9957418
PMID35553650
OpenAlexW4280503748
IdiomaEN
Citações recebidas12
Referências citadas44

Fertility, health, education, and other outcomes of interest to demographers are the product of an individual's genetic makeup and their social environment. Yet, gene × environment (G×E) research deploys a limited toolkit on the genetic side to study the gene–environment interplay, relying on polygenic scores (PGSs) that reflect the influence of genetics on levels of an outcome. In this article, we develop a genetic summary measure better suited for G×E research: variance polygenic scores (vPGSs), which are PGSs that reflect genetic contributions to plasticity in outcomes. First, we use the UK Biobank (N ∼ 408,000 in the analytic sample) and the Health and Retirement Study (N ∼ 5,700 in the analytic sample) to compare four approaches to constructing PGSs for plasticity. The results show that widely used methods for discovering which genetic variants affect outcome variability fail to serve as distinctive new tools for G×E. Second, using the PGSs that do capture distinctive genetic contributions to plasticity, we analyze heterogeneous effects of a UK education reform on health and educational attainment. The results show the properties of a useful new tool for population scientists studying the interplay of nature and nurture and for population-based studies that are releasing PGSs to applied researchers

Biobank · Biology · Nature versus nurture · Population · Sociology · Birth, Development, and Health · Cognitive Abilities and Testing · Demography · Genetic Associations and Epidemiology · Genetics · Psychology

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Obras citantes distintas12
Citações por ano3
Intervalo de citações2022 - 2025 (4)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 11
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