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Genetic correlates of socio-economic status influence the pattern of shared heritability across mental health traits

Author

Listed:
  • Andries T. Marees

    (Amsterdam UMC, University of Amsterdam
    QIMR Berghofer, Translational Neurogenomics Group
    School of Business and Economics, VU University Amsterdam)

  • Dirk J. A. Smit

    (Amsterdam UMC, University of Amsterdam)

  • Abdel Abdellaoui

    (Amsterdam UMC, University of Amsterdam)

  • Michel G. Nivard

    (VU University Amsterdam)

  • Wim Brink

    (Amsterdam UMC, University of Amsterdam)

  • Damiaan Denys

    (Amsterdam UMC, University of Amsterdam)

  • Titus J. Galama

    (School of Business and Economics, VU University Amsterdam
    University of Southern California, Dornsife Center for Economic and Social Research (CESR)
    Erasmus School of Economics, Erasmus University)

  • Karin J. H. Verweij

    (Amsterdam UMC, University of Amsterdam)

  • Eske M. Derks

    (QIMR Berghofer, Translational Neurogenomics Group)

Abstract

Epidemiological studies show high comorbidity between different mental health problems, indicating that individuals with a diagnosis of one disorder are more likely to develop other mental health problems. Genetic studies reveal substantial sharing of genetic factors across mental health traits. However, mental health is also genetically correlated with socio-economic status (SES), and it is therefore important to investigate and disentangle the genetic relationship between mental health and SES. We used summary statistics from large genome-wide association studies (average N ~ 160,000) to estimate the genetic overlap across nine psychiatric disorders and seven substance use traits and explored the genetic influence of three different indicators of SES. Using genomic structural equation modelling, we show significant changes in patterns of genetic correlations after partialling out SES-associated genetic variation. Our approach allows the separation of disease-specific genetic variation and genetic variation shared with SES, thereby improving our understanding of the genetic architecture of mental health.

Suggested Citation

  • Andries T. Marees & Dirk J. A. Smit & Abdel Abdellaoui & Michel G. Nivard & Wim Brink & Damiaan Denys & Titus J. Galama & Karin J. H. Verweij & Eske M. Derks, 2021. "Genetic correlates of socio-economic status influence the pattern of shared heritability across mental health traits," Nature Human Behaviour, Nature, vol. 5(8), pages 1065-1073, August.
    • Handle: RePEc:nat:nathum:v:5:y:2021:i:8:d:10.1038_s41562-021-01053-4
    DOI: 10.1038/s41562-021-01053-4
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    Cited by:

    1. Maria Niarchou & Daniel E. Gustavson & J. Fah Sathirapongsasuti & Manuel Anglada-Tort & Else Eising & Eamonn Bell & Evonne McArthur & Peter Straub & J. Devin McAuley & John A. Capra & Fredrik Ullén & , 2022. "Genome-wide association study of musical beat synchronization demonstrates high polygenicity," Nature Human Behaviour, Nature, vol. 6(9), pages 1292-1309, September.
    2. Muhammad Akbar & Abid Rashid & Dr. Muhammad Ramzan Sheikh, 2024. "Socioeconomic Determinants of Genetic Disorder in Disabled Persons of Punjab, Pakistan," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(1), pages 29-41.

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