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

Andries T. Marees*, Dirk J.A. Smit, Abdel Abdellaoui, Michel G. Nivard, Wim van den Brink, Damiaan Denys, Titus J. Galama, Karin J.H. Verweij, Eske M. Derks

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

41 Citations (Scopus)
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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.

Original languageEnglish
Pages (from-to)1065-1073
Number of pages9
JournalNature Human Behaviour
Volume5
Issue number8
DOIs
Publication statusPublished - Aug 2021

Bibliographical note

A.A., A.T.M. and K.J.H.V. are supported by the Foundation Volksbond Rotterdam. A.T.M. and T.J.G. are supported by the Netherlands Organization for Research (NWO) Vidi grant 0.16.Vidi.185.044. M.G.N. is supported by ZonMW grants 849200011 and 531003014 from the Netherlands Organisation for Health Research and Development. This research was supported by the National Institute on Aging, under grants RF1055654 and R56AG058726.
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature Limited.

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