Evidence map›Paper›PMID 29987013›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Genetic analysis of social-class mobility in five longitudinal studies.

Daniel W Belsky, Benjamin W Domingue, Robbee Wedow, Louise Arseneault, Jason D Boardman, Avshalom Caspi, Dalton Conley, Jason M Fletcher, Jeremy Freese, Pamela Herd and 5 more

Erratum issuedAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. 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 137 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed, 6 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

137 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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77 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Daniel W BelskyDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710; dbelsky@duke.edu kathie_harris@unc.edu.ORCID 0000-0001-5463-2212
Benjamin W DomingueGraduate School of Education, Stanford University, Stanford, CA 94305.ORCID 0000-0002-3894-9049
Robbee WedowInstitute of Behavioral Science and Department of Sociology, University of Colorado, Boulder, CO 80309.ORCID 0000-0002-3108-7087
Louise ArseneaultSocial, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, SE5 8AF London, United Kingdom.
Jason D BoardmanInstitute of Behavioral Science and Department of Sociology, University of Colorado, Boulder, CO 80309.
Avshalom CaspiSocial, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, SE5 8AF London, United Kingdom.
Dalton ConleyDepartment of Sociology, Princeton University, Princeton, NJ 08544.ORCID 0000-0002-5174-7222
Jason M FletcherLa Follette School of Public Policy, University of Wisconsin-Madison, Madison, WI 53706.ORCID 0000-0001-8843-0563
Jeremy FreeseDepartment of Sociology, Stanford University, Stanford, CA 94305.
Pamela HerdLa Follette School of Public Policy, University of Wisconsin-Madison, Madison, WI 53706.
Terrie E MoffittSocial, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, SE5 8AF London, United Kingdom.
Richie PoultonDunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, 9016 Dunedin, New Zealand.
Kamil SicinskiCenter for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI 53706.
Jasmin WertzDepartment of Psychology and Neuroscience, Duke University, Durham, NC 27708.
Kathleen Mullan HarrisDepartment of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516; dbelsky@duke.edu kathie_harris@unc.edu.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Virginia B Kraus · 2006 to 2026
$24.6M
Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Is mental disorder a preventable cause of age-related disease? The Dunedin Study.R01AG032282 · NIA · DUKE UNIVERSITY · PI CASPI, AVSHALOM, MOFFITT, TERRIE E · 2009 to 2025
$9.5M
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
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
Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI James Moody · 2015 to 2026
$5.7M
Network on Life Course Health Dynamics and Disparities in 21st Century America RenewalR24AG045061 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, Sarah A. Burgard · 2014 to 2026
$5.2M
University of Colorado Population CenterP2CHD066613 · NICHD · UNIVERSITY OF COLORADO · PI JANE A MENKEN · 2015 to 2026
$3.7M
Add Health: A Genotype and Phenotype Resource for the Global Scientific CommunityR01HD073342 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 2012 to 2016
$3.6M
Medical Research Council G1002190Medical Research Council MR/P005918/1NIA NIH HHS P30 AG017266NIA NIH HHS P30 AG028716NIA NIH HHS R01 AG032282NIA NIH HHS R01 AG041868NIA NIH HHS RC2 AG036495NIA NIH HHS RC4 AG039029NIA NIH HHS U01 AG009740NICHD NIH HHS P01 HD031921NICHD NIH HHS R01 HD060726NICHD NIH HHS R01 HD073342NICHD NIH HHS R01 HD077482
6 · The paper itself

Abstract

A summary genetic measure, called a "polygenic score," derived from a genome-wide association study (GWAS) of education can modestly predict a person's educational and economic success. This prediction could signal a biological mechanism: Education-linked genetics could encode characteristics that help people get ahead in life. Alternatively, prediction could reflect social history: People from well-off families might stay well-off for social reasons, and these families might also look alike genetically. A key test to distinguish biological mechanism from social history is if people with higher education polygenic scores tend to climb the social ladder beyond their parents' position. Upward mobility would indicate education-linked genetics encodes characteristics that foster success. We tested if education-linked polygenic scores predicted social mobility in >20,000 individuals in five longitudinal studies in the United States, Britain, and New Zealand. Participants with higher polygenic scores achieved more education and career success and accumulated more wealth. However, they also tended to come from better-off families. In the key test, participants with higher polygenic scores tended to be upwardly mobile compared with their parents. Moreover, in sibling-difference analysis, the sibling with the higher polygenic score was more upwardly mobile. Thus, education GWAS discoveries are not mere correlates of privilege; they influence social mobility within a life. Additional analyses revealed that a mother's polygenic score predicted her child's attainment over and above the child's own polygenic score, suggesting parents' genetics can also affect their children's attainment through environmental pathways. Education GWAS discoveries affect socioeconomic attainment through influence on individuals' family-of-origin environments and their social mobility.

Indexed as

Genome-Wide Association StudySocial ClassSocial MobilityEducational StatusGenetic TestingHumansLongitudinal StudiesOccupationsSiblingsgeneticspolygenic scoresocial classsocial mobilitysociogenomics

Identifiers

PMID29987013
PMCPMC6077729

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.