The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores

Abstract 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 chan...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Lauren L. Schmitz, Julia Goodwin, Jiacheng Miao, Qiongshi Lu, Dalton Conley
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/b68fdef6b7264172a2a34e2f49658892
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:b68fdef6b7264172a2a34e2f49658892
record_format dspace
spelling oai:doaj.org-article:b68fdef6b7264172a2a34e2f496588922021-12-02T14:26:51ZThe impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores10.1038/s41598-021-86716-y2045-2322https://doaj.org/article/b68fdef6b7264172a2a34e2f496588922021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86716-yhttps://doaj.org/toc/2045-2322Abstract 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.Lauren L. SchmitzJulia GoodwinJiacheng MiaoQiongshi LuDalton ConleyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Lauren L. Schmitz
Julia Goodwin
Jiacheng Miao
Qiongshi Lu
Dalton Conley
The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores
description Abstract 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 article
author Lauren L. Schmitz
Julia Goodwin
Jiacheng Miao
Qiongshi Lu
Dalton Conley
author_facet Lauren L. Schmitz
Julia Goodwin
Jiacheng Miao
Qiongshi Lu
Dalton Conley
author_sort Lauren L. Schmitz
title 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_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_sort impact of late-career job loss and genetic risk on body mass index: evidence from variance polygenic scores
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/b68fdef6b7264172a2a34e2f49658892
work_keys_str_mv AT laurenlschmitz theimpactoflatecareerjoblossandgeneticriskonbodymassindexevidencefromvariancepolygenicscores
AT juliagoodwin theimpactoflatecareerjoblossandgeneticriskonbodymassindexevidencefromvariancepolygenicscores
AT jiachengmiao theimpactoflatecareerjoblossandgeneticriskonbodymassindexevidencefromvariancepolygenicscores
AT qiongshilu theimpactoflatecareerjoblossandgeneticriskonbodymassindexevidencefromvariancepolygenicscores
AT daltonconley theimpactoflatecareerjoblossandgeneticriskonbodymassindexevidencefromvariancepolygenicscores
AT laurenlschmitz impactoflatecareerjoblossandgeneticriskonbodymassindexevidencefromvariancepolygenicscores
AT juliagoodwin impactoflatecareerjoblossandgeneticriskonbodymassindexevidencefromvariancepolygenicscores
AT jiachengmiao impactoflatecareerjoblossandgeneticriskonbodymassindexevidencefromvariancepolygenicscores
AT qiongshilu impactoflatecareerjoblossandgeneticriskonbodymassindexevidencefromvariancepolygenicscores
AT daltonconley impactoflatecareerjoblossandgeneticriskonbodymassindexevidencefromvariancepolygenicscores
_version_ 1718391333068996608