Evidence map›Paper›PMID 33828129›Full record

ArticleScientific reports2021

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

Lauren L Schmitz, Julia Goodwin, Jiacheng Miao, Qiongshi Lu, Dalton Conley

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  8. A quantile integral linear model to quantify genetic effects on phenotypic variability.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Lauren L SchmitzRobert M. La Follette School of Public Affairs, University of Wisconsin-Madison, 1225 Observatory Drive, Madison, WI, 53706, USA. llschmitz@wisc.edu.
Julia GoodwinDepartment of Sociology, University of Wisconsin-Madison, Madison, WI, USA.
Jiacheng MiaoDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.
Qiongshi LuDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.
Dalton ConleyDepartment of Sociology, Princeton University & NBER, Princeton, NJ, USA.

Funding

Statistical Data EnclaveP30AG012846 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VICKI A. FREEDMAN · 1999 to 2026
$23.2M
Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
TRAINING IN THE DEMOGRAPHY OF AGINGT32AG000221 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 1992 to 2026
$15.3M
Creating a National Resource for Genetic Research in Behavioral & Health SciencesRC2AG036495 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIR, DAVID R. · 2009 to 2010
$7.4M
Scientific/Technical CoreP2CHD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Erin Bakshis Ware · 2017 to 2026
$6.5M
Expanding a National Resource for Genetic Research in Behavioral & Health ScienceRC4AG039029 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIR, DAVID R. · 2010 to 2010
$6.0M
Life Course Determinants of Epigenetic Age Acceleration and Subsequent DementiaR00AG056599 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI SCHMITZ, LAUREN LUCIA · 2019 to 2021
$738k
Life Course Determinants of Epigenetic Age Acceleration and Subsequent DementiaK99AG056599 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCHMITZ, LAUREN LUCIA · 2017 to 2018
$263k
NIA NIH HHS K99 AG056599NIA NIH HHS P30 AG012846NIA NIH HHS P30 AG017266NIA NIH HHS R00 AG056599NIA NIH HHS RC2 AG036495NIA NIH HHS RC4 AG039029NIA NIH HHS T32 AG000221NICHD NIH HHS P2C HD041028
6 · The paper itself

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.

Indexed as

Body Mass IndexGene-Environment InteractionUnemploymentFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedOccupationsRetirement

Identifiers

PMID33828129
PMCPMC8027610

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.