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Genetic analysis of social-class mobility in five longitudinal studies

Author

Listed:
  • Daniel W. Belsky

    (Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710; Social Science Research Institute, Duke University, Durham, NC 27708)

  • Benjamin W. Domingue

    (Graduate School of Education, Stanford University, Stanford, CA 94305)

  • Robbee Wedow

    (Institute of Behavioral Science and Department of Sociology, University of Colorado, Boulder, CO 80309)

  • Louise Arseneault

    (Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, SE5 8AF London, United Kingdom)

  • Jason D. Boardman

    (Institute of Behavioral Science and Department of Sociology, University of Colorado, Boulder, CO 80309)

  • Avshalom Caspi

    (Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, SE5 8AF London, United Kingdom; Department of Psychology and Neuroscience, Duke University, Durham, NC 27708; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC 27708; Center for Genomic and Computational Biology, Duke University, Durham, NC 27708)

  • Dalton Conley

    (Department of Sociology, Princeton University, Princeton, NJ 08544)

  • Jason M. Fletcher

    (La Follette School of Public Policy, University of Wisconsin–Madison, Madison, WI 53706; Center for Demography of Health and Aging, University of Wisconsin–Madison, Madison, WI 53706)

  • Jeremy Freese

    (Department of Sociology, Stanford University, Stanford, CA 94305)

  • Pamela Herd

    (La Follette School of Public Policy, University of Wisconsin–Madison, Madison, WI 53706)

  • Terrie E. Moffitt

    (Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, SE5 8AF London, United Kingdom; Department of Psychology and Neuroscience, Duke University, Durham, NC 27708; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC 27708; Center for Genomic and Computational Biology, Duke University, Durham, NC 27708)

  • Richie Poulton

    (Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, 9016 Dunedin, New Zealand)

  • Kamil Sicinski

    (Center for Demography of Health and Aging, University of Wisconsin–Madison, Madison, WI 53706)

  • Jasmin Wertz

    (Department of Psychology and Neuroscience, Duke University, Durham, NC 27708)

  • Kathleen Mullan Harris

    (Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516)

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.

Suggested Citation

  • Daniel W. Belsky & Benjamin W. Domingue & Robbee Wedow & Louise Arseneault & Jason D. Boardman & Avshalom Caspi & Dalton Conley & Jason M. Fletcher & Jeremy Freese & Pamela Herd & Terrie E. Moffitt & , 2018. "Genetic analysis of social-class mobility in five longitudinal studies," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(31), pages 7275-7284, July.
  • Handle: RePEc:nas:journl:v:115:y:2018:p:e7275-e7284
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    Citations

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    Cited by:

    1. Brunello, Giorgio & Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2020. "Not only in my genes: The effects of peers’ genotype on obesity," Journal of Health Economics, Elsevier, vol. 72(C).
    2. Karhula, Aleksi & Erola, Jani & Raab, Marcel & Fasang, Anette Eva, 2019. "Destination as a process: Sibling similarity in early socioeconomic trajectories," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 40, pages 85-98.
    3. Dilnoza Muslimova & Hans van Kippersluis & Cornelius A. Rietveld & Stephanie von Hinke & S. Fleur W. Meddens, 2020. "Nature-nurture interplay in educational attainment," Papers 2012.05021, arXiv.org, revised Jul 2023.
    4. Dilnoza Muslimova & Hans van Kippersluis & Cornelius A. Rietveld & Stephanie von Hinke & S. Fleur W. Meddens, 2020. "Dynamic complementarity in skill production: Evidence from genetic endowments and birth order," Tinbergen Institute Discussion Papers 20-082/V, Tinbergen Institute.
    5. Barban, Nicola & De Cao, Elisabetta & Francesconi, Marco, 2021. "Gene‐Environment Effects on Female Fertility," CINCH Working Paper Series (since 2020) 74910, Duisburg-Essen University Library, DuEPublico.
    6. Das, Aniruddha, 2021. "The relational genomics of cognitive function: A longitudinal study," Social Science & Medicine, Elsevier, vol. 270(C).
    7. Wai, Jonathan & Worrell, Frank C., 2021. "The future of intelligence research and gifted education," Intelligence, Elsevier, vol. 87(C).
    8. Fletcher, Jason, 2023. "Decoupling genetics from attainments: The role of social environments," Economics & Human Biology, Elsevier, vol. 50(C).
    9. Marks, Gary N. & O'Connell, Michael, 2021. "No evidence for cumulating socioeconomic advantage. Ability explains increasing SES effects with age on children's domain test scores," Intelligence, Elsevier, vol. 88(C).
    10. Hyeokmoon Kweon & Casper A.P. Burik & Richard Karlsson Linner & Ronald de Vlaming & Aysu Okbay & Daphne Martschenko & Kathryn Paige Harden & Thomas A. DiPrete & Philipp D. Koellinger, 2020. "Genetic Fortune: Winning or Losing Education, Income, and Health," Tinbergen Institute Discussion Papers 20-053/V, Tinbergen Institute, revised 01 Dec 2020.
    11. Kandauda A S Wickrama & Catherine Walker OˋNeal & Tae Kyoung Lee & Seonhwa Lee, 2021. "Early life course processes leading to educational and economic attainment in young adulthood: Contributions of early socioeconomic adversity and education polygenic score," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-18, October.
    12. Brooke M Huibregtse & Breanne L Newell-Stamper & Benjamin W Domingue & Jason D Boardman & Anna Zajacova, 2021. "Genes Related to Education Predict Frailty Among Older Adults in the United States [Genetic analysis of social-class mobility in five longitudinal studies]," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 76(1), pages 173-183.
    13. Mitchell, Brittany L. & Hansell, Narelle K. & McAloney, Kerrie & Martin, Nicholas G. & Wright, Margaret J. & Renteria, Miguel E. & Grasby, Katrina L., 2022. "Polygenic influences associated with adolescent cognitive skills," Intelligence, Elsevier, vol. 94(C).

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