Genetic loci shared between major depression and intelligence with mixed directions of effect

Shahram Bahrami (), Alexey Shadrin, Oleksandr Frei, Kevin S. O’Connell, Francesco Bettella, Florian Krull, Chun C. Fan, Jan I. Røssberg, Guy Hindley, Torill Ueland, Anders M. Dale, Srdjan Djurovic, Nils Eiel Steen, Olav B. Smeland and Ole A. Andreassen ()
Additional contact information
Shahram Bahrami: University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital
Alexey Shadrin: University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital
Oleksandr Frei: University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital
Kevin S. O’Connell: University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital
Francesco Bettella: University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital
Florian Krull: University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital
Chun C. Fan: University of California, San Diego
Jan I. Røssberg: Oslo University Hospital and Institute of Clinical Medicine, University of Oslo
Guy Hindley: University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital
Torill Ueland: University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital
Anders M. Dale: University of California, San Diego
Srdjan Djurovic: Oslo University Hospital
Nils Eiel Steen: University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital
Olav B. Smeland: University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital
Ole A. Andreassen: University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital

Nature Human Behaviour, 2021, vol. 5, issue 6, 795-801

Abstract: Abstract Genome-wide association studies (GWAS) have identified several common genetic variants influencing major depression and general cognitive abilities, but little is known about whether the two share any of their genetic aetiology. Here we investigate shared genomic architectures between major depression (MD) and general intelligence (INT) with the MiXeR statistical tool and their overlapping susceptibility loci with conjunctional false discovery rate (conjFDR), which evaluate the level of overlap in genetic variants and improve the power for gene discovery between two phenotypes. We analysed GWAS data on MD (n = 480,359) and INT (n = 269,867) to characterize polygenic architecture and identify genetic loci shared between these phenotypes. Despite non-significant genetic correlation (rg = −0.0148, P = 0.50), we observed large polygenic overlap and identified 92 loci shared between MD and INT at conjFDR

Date: 2021
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DOI: 10.1038/s41562-020-01031-2

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