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The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores
Unemployment shocks from the COVID-19 pandemic have reignited concerns over the long-term effects of job loss on population health. Past research has highlighted the corrosive effects of unemployment on health and health behaviors. This study examines whether the effects of job loss on changes in bo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8027610/ https://www.ncbi.nlm.nih.gov/pubmed/33828129 http://dx.doi.org/10.1038/s41598-021-86716-y |
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author | Schmitz, Lauren L. Goodwin, Julia Miao, Jiacheng Lu, Qiongshi Conley, Dalton |
author_facet | Schmitz, Lauren L. Goodwin, Julia Miao, Jiacheng Lu, Qiongshi Conley, Dalton |
author_sort | Schmitz, Lauren L. |
collection | PubMed |
description | Unemployment shocks from the COVID-19 pandemic have reignited concerns over the long-term effects of job loss on population health. Past research has highlighted the corrosive effects of unemployment on health and health behaviors. This study examines whether the effects of job loss on changes in body mass index (BMI) are moderated by genetic predisposition using data from the U.S. Health and Retirement Study (HRS). To improve detection of gene-by-environment (G × E) interplay, we interacted layoffs from business closures—a plausibly exogenous environmental exposure—with whole-genome polygenic scores (PGSs) that capture genetic contributions to both the population mean (mPGS) and variance (vPGS) of BMI. Results show evidence of genetic moderation using a vPGS (as opposed to an mPGS) and indicate genome-wide summary measures of phenotypic plasticity may further our understanding of how environmental stimuli modify the distribution of complex traits in a population. |
format | Online Article Text |
id | pubmed-8027610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80276102021-04-08 The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores Schmitz, Lauren L. Goodwin, Julia Miao, Jiacheng Lu, Qiongshi Conley, Dalton Sci Rep Article Unemployment shocks from the COVID-19 pandemic have reignited concerns over the long-term effects of job loss on population health. Past research has highlighted the corrosive effects of unemployment on health and health behaviors. This study examines whether the effects of job loss on changes in body mass index (BMI) are moderated by genetic predisposition using data from the U.S. Health and Retirement Study (HRS). To improve detection of gene-by-environment (G × E) interplay, we interacted layoffs from business closures—a plausibly exogenous environmental exposure—with whole-genome polygenic scores (PGSs) that capture genetic contributions to both the population mean (mPGS) and variance (vPGS) of BMI. Results show evidence of genetic moderation using a vPGS (as opposed to an mPGS) and indicate genome-wide summary measures of phenotypic plasticity may further our understanding of how environmental stimuli modify the distribution of complex traits in a population. Nature Publishing Group UK 2021-04-07 /pmc/articles/PMC8027610/ /pubmed/33828129 http://dx.doi.org/10.1038/s41598-021-86716-y Text en © The Author(s) 2021, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Schmitz, Lauren L. Goodwin, Julia Miao, Jiacheng Lu, Qiongshi Conley, Dalton The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores |
title | The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores |
title_full | The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores |
title_fullStr | The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores |
title_full_unstemmed | The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores |
title_short | The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores |
title_sort | impact of late-career job loss and genetic risk on body mass index: evidence from variance polygenic scores |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8027610/ https://www.ncbi.nlm.nih.gov/pubmed/33828129 http://dx.doi.org/10.1038/s41598-021-86716-y |
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