Robert M. La Follette School of Public Affairs, University of Wisconsin-Madison, 1225 Observatory Drive, Madison, WI, 53706, USA.
Department of Sociology, University of Wisconsin-Madison, Madison, WI, USA.
Sci Rep. 2021 Apr 7;11(1):7647. doi: 10.1038/s41598-021-86716-y.
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.
新冠疫情带来的失业冲击重新引发了人们对失业对人口健康的长期影响的担忧。过去的研究强调了失业对健康和健康行为的腐蚀性影响。本研究利用美国健康与退休研究(HRS)的数据,考察了遗传易感性是否调节了失业对体重指数(BMI)变化的影响。为了提高基因-环境(G × E)相互作用的检测能力,我们将企业倒闭导致的裁员——一种可能的外生环境暴露——与全基因组多基因评分(PGS)进行了交互,该评分捕捉了 BMI 的人群平均值(mPGS)和方差(vPGS)的遗传贡献。结果表明,使用 vPGS(而不是 mPGS)存在遗传调节的证据,并表明表型可塑性的全基因组综合衡量标准可能有助于我们理解环境刺激如何改变人口中复杂特征的分布。