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Associations between common genetic variants and income provide insights about the socio-economic health gradient

Author

Listed:
  • Hyeokmoon Kweon

    (Vrije Universiteit Amsterdam)

  • Casper A. P. Burik

    (Vrije Universiteit Amsterdam)

  • Yuchen Ning

    (Vrije Universiteit Amsterdam)

  • Rafael Ahlskog

    (Uppsala University)

  • Charley Xia

    (University of Edinburgh)

  • Erik Abner

    (University of Tartu)

  • Yanchun Bao

    (University of Essex)

  • Laxmi Bhatta

    (Norwegian University of Science and Technology)

  • Tariq O. Faquih

    (Leiden University Medical Center)

  • Maud Feijter

    (Erasmus MC University Medical Center)

  • Paul Fisher

    (University of Essex)

  • Andrea Gelemanović

    (University of Split School of Medicine)

  • Alexandros Giannelis

    (University of Minnesota Twin Cities)

  • Jouke-Jan Hottenga

    (Vrije Universiteit Amsterdam)

  • Bita Khalili

    (University of Lausanne
    Swiss Institute of Bioinformatics)

  • Yunsung Lee

    (Norwegian Institute of Public Health)

  • Ruifang Li-Gao

    (Leiden University Medical Center)

  • Jaan Masso

    (University of Tartu)

  • Ronny Myhre

    (Norwegian Institute of Public Health)

  • Teemu Palviainen

    (University of Helsinki)

  • Cornelius A. Rietveld

    (Erasmus University Rotterdam
    Erasmus University Rotterdam)

  • Alexander Teumer

    (University Medicine Greifswald)

  • Renske M. Verweij

    (Erasmus University Rotterdam)

  • Emily A. Willoughby

    (University of Minnesota Twin Cities)

  • Esben Agerbo

    (Aarhus University
    Aarhus University
    Aarhus University)

  • Sven Bergmann

    (University of Lausanne
    Swiss Institute of Bioinformatics)

  • Dorret I. Boomsma

    (Vrije Universiteit Amsterdam
    Amsterdam UMC
    Amsterdam UMC
    Vrije Universiteit Amsterdam)

  • Anders D. Børglum

    (Aarhus University
    Aarhus University
    Center for Genome Analysis and Personalized Medicine)

  • Ben M. Brumpton

    (Norwegian University of Science and Technology
    Norwegian University of Science and Technology
    Trondheim University Hospital)

  • Neil Martin Davies

    (Norwegian University of Science and Technology
    University College London
    University of Bristol)

  • Tõnu Esko

    (University of Tartu)

  • Scott D. Gordon

    (Queensland Institute of Medical Research)

  • Georg Homuth

    (University Medicine Greifswald)

  • M. Arfan Ikram

    (Erasmus MC University Medical Center)

  • Magnus Johannesson

    (Stockholm School of Economics)

  • Jaakko Kaprio

    (University of Helsinki)

  • Michael P. Kidd

    (RMIT University
    Feng Chia University)

  • Zoltán Kutalik

    (University of Lausanne
    Unisante)

  • Alex S. F. Kwong

    (University of Bristol
    University of Edinburgh)

  • James J. Lee

    (University of Minnesota Twin Cities)

  • Annemarie I. Luik

    (Erasmus MC University Medical Center
    Trimbos Institute—Netherlands Institute for Mental Health and Addiction)

  • Per Magnus

    (Norwegian Institute of Public Health)

  • Pedro Marques-Vidal

    (Lausanne University Hospital (CHUV)
    University of Lausanne)

  • Nicholas G. Martin

    (University of Bristol)

  • Dennis O. Mook-Kanamori

    (Erasmus MC University Medical Center
    Leiden University Medical Center)

  • Preben Bo Mortensen

    (Aarhus University
    Aarhus University
    Aarhus University)

  • Sven Oskarsson

    (Uppsala University)

  • Emil M. Pedersen

    (Aarhus University
    Aarhus University
    Aarhus University)

  • Ozren Polašek

    (University of Split School of Medicine
    Algebra University)

  • Frits R. Rosendaal

    (Leiden University Medical Center)

  • Melissa C. Smart

    (University of Essex)

  • Harold Snieder

    (University of Groningen and University Medical Center Groningen)

  • Peter J. Most

    (University of Groningen and University Medical Center Groningen)

  • Peter Vollenweider

    (Trimbos Institute—Netherlands Institute for Mental Health and Addiction
    Lausanne University Hospital (CHUV))

  • Henry Völzke

    (University Medicine Greifswald)

  • Gonneke Willemsen

    (Vrije Universiteit Amsterdam
    Inholland University of Applied Sciences)

  • Jonathan P. Beauchamp

    (George Mason University)

  • Thomas A. DiPrete

    (Columbia University)

  • Richard Karlsson Linnér

    (Vrije Universiteit Amsterdam
    Universiteit Leiden)

  • Qiongshi Lu

    (University of Wisconsin–Madison)

  • Tim T. Morris

    (University College London)

  • Aysu Okbay

    (Vrije Universiteit Amsterdam)

  • K. Paige Harden

    (University of Texas at Austin)

  • Abdel Abdellaoui

    (University of Amsterdam)

  • W. David Hill

    (University of Edinburgh
    University of Edinburgh)

  • Ronald Vlaming

    (Vrije Universiteit Amsterdam)

  • Daniel J. Benjamin

    (University of California, Los Angeles
    UCLA David Geffen School of Medicine
    National Bureau of Economic Research)

  • Philipp D. Koellinger

    (Vrije Universiteit Amsterdam
    DeSci Foundation)

Abstract

We conducted a genome-wide association study on income among individuals of European descent (N = 668,288) to investigate the relationship between socio-economic status and health disparities. We identified 162 genomic loci associated with a common genetic factor underlying various income measures, all with small effect sizes (the Income Factor). Our polygenic index captures 1–5% of income variance, with only one fourth due to direct genetic effects. A phenome-wide association study using this index showed reduced risks for diseases including hypertension, obesity, type 2 diabetes, depression, asthma and back pain. The Income Factor had a substantial genetic correlation (0.92, s.e. = 0.006) with educational attainment. Accounting for the genetic overlap of educational attainment with income revealed that the remaining genetic signal was linked to better mental health but reduced physical health and increased risky behaviours such as drinking and smoking. These findings highlight the complex genetic influences on income and health.

Suggested Citation

  • Hyeokmoon Kweon & Casper A. P. Burik & Yuchen Ning & Rafael Ahlskog & Charley Xia & Erik Abner & Yanchun Bao & Laxmi Bhatta & Tariq O. Faquih & Maud Feijter & Paul Fisher & Andrea Gelemanović & Alexan, 2025. "Associations between common genetic variants and income provide insights about the socio-economic health gradient," Nature Human Behaviour, Nature, vol. 9(4), pages 794-805, April.
    • Handle: RePEc:nat:nathum:v:9:y:2025:i:4:d:10.1038_s41562-024-02080-7
    DOI: 10.1038/s41562-024-02080-7
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    References listed on IDEAS

    as
    1. Betsey Stevenson & Justin Wolfers, 2013. "Subjective Well-Being and Income: Is There Any Evidence of Satiation?," American Economic Review, American Economic Association, vol. 103(3), pages 598-604, May.
    2. Miles Corak, 2013. "Income Inequality, Equality of Opportunity, and Intergenerational Mobility," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 79-102, Summer.
    3. Trostel, Philip & Walker, Ian & Woolley, Paul, 2002. "Estimates of the economic return to schooling for 28 countries," Labour Economics, Elsevier, vol. 9(1), pages 1-16, February.
    4. Clare Bycroft & Colin Freeman & Desislava Petkova & Gavin Band & Lloyd T. Elliott & Kevin Sharp & Allan Motyer & Damjan Vukcevic & Olivier Delaneau & Jared O’Connell & Adrian Cortes & Samantha Welsh &, 2018. "The UK Biobank resource with deep phenotyping and genomic data," Nature, Nature, vol. 562(7726), pages 203-209, October.
    5. Adriana Lleras-Muney, 2005. "The Relationship Between Education and Adult Mortality in the United States," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 189-221.
    6. W. David Hill & Neil M. Davies & Stuart J. Ritchie & Nathan G. Skene & Julien Bryois & Steven Bell & Emanuele Di Angelantonio & David J. Roberts & Shen Xueyi & Gail Davies & David C. M. Liewald & Davi, 2019. "Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income," Nature Communications, Nature, vol. 10(1), pages 1-16, December.
    7. Melissa Osborne & Herbert Gintis & Samuel Bowles, 2001. "The Determinants of Earnings: A Behavioral Approach," Journal of Economic Literature, American Economic Association, vol. 39(4), pages 1137-1176, December.
    8. Matt Dickson, 2013. "The Causal Effect of Education on Wages Revisited," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(4), pages 477-498, August.
    9. David Cesarini & Erik Lindqvist & Robert Östling & Björn Wallace, 2016. "Wealth, Health, and Child Development: Evidence from Administrative Data on Swedish Lottery Players," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 687-738.
    10. Ari Hyytinen & Pekka Ilmakunnas & Edvard Johansson & Otto Toivanen, 2019. "Heritability of lifetime earnings," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(3), pages 319-335, September.
    11. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    12. Kaili Rimfeld & Eva Krapohl & Maciej Trzaskowski & Jonathan R. I. Coleman & Saskia Selzam & Philip S. Dale & Tonu Esko & Andres Metspalu & Robert Plomin, 2018. "Genetic influence on social outcomes during and after the Soviet era in Estonia," Nature Human Behaviour, Nature, vol. 2(4), pages 269-275, April.
    13. Andrew D. Grotzinger & Mijke Rhemtulla & Ronald Vlaming & Stuart J. Ritchie & Travis T. Mallard & W. David Hill & Hill F. Ip & Riccardo E. Marioni & Andrew M. McIntosh & Ian J. Deary & Philipp D. Koel, 2019. "Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits," Nature Human Behaviour, Nature, vol. 3(5), pages 513-525, May.
    14. K. Paige Harden & Philipp D. Koellinger, 2020. "Using genetics for social science," Nature Human Behaviour, Nature, vol. 4(6), pages 567-576, June.
    15. Christiaan A de Leeuw & Joris M Mooij & Tom Heskes & Danielle Posthuma, 2015. "MAGMA: Generalized Gene-Set Analysis of GWAS Data," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-19, April.
    16. Felix C. Tropf & S. Hong Lee & Renske M. Verweij & Gert Stulp & Peter J. van der Most & Ronald de Vlaming & Andrew Bakshi & Daniel A. Briley & Charles Rahal & Robert Hellpap & Anastasia N. Iliadou & T, 2017. "Hidden heritability due to heterogeneity across seven populations," Nature Human Behaviour, Nature, vol. 1(10), pages 757-765, October.
    17. Kyoko Watanabe & Erdogan Taskesen & Arjen Bochoven & Danielle Posthuma, 2017. "Functional mapping and annotation of genetic associations with FUMA," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
    18. Aysu Okbay & Jonathan P. Beauchamp & Mark Alan Fontana & James J. Lee & Tune H. Pers & Cornelius A. Rietveld & Patrick Turley & Guo-Bo Chen & Valur Emilsson & S. Fleur W. Meddens & Sven Oskarsson & Jo, 2016. "Genome-wide association study identifies 74 loci associated with educational attainment," Nature, Nature, vol. 533(7604), pages 539-542, May.
    19. Taubman, Paul, 1976. "The Determinants of Earnings: Genetics, Family, and Other Environments; A Study of White Male Twins," American Economic Review, American Economic Association, vol. 66(5), pages 858-870, December.
    20. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    21. Braveman, P.A. & Cubbin, C. & Egerter, S. & Williams, D.R. & Pamuk, E., 2010. "Socioeconomic disparities in health in the united States: What the patterns tell us," American Journal of Public Health, American Public Health Association, vol. 100(S1), pages 186-196.
    22. Becker, Gary S & Tomes, Nigel, 1979. "An Equilibrium Theory of the Distribution of Income and Intergenerational Mobility," Journal of Political Economy, University of Chicago Press, vol. 87(6), pages 1153-1189, December.
    23. Samuel Bowles & Herbert Gintis, 2002. "The Inheritance of Inequality," Journal of Economic Perspectives, American Economic Association, vol. 16(3), pages 3-30, Summer.
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