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 language | English |
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Pages (from-to) | 1065-1073 |
Number of pages | 9 |
Journal | Nature Human Behaviour |
Volume | 5 |
Issue number | 8 |
DOIs | |
Publication status | Published - 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.