Author
Listed:
- 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
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
University of California, San Diego
University of California, San Diego
University of California, San Diego)
- Srdjan Djurovic
(Oslo University Hospital
University of Bergen)
- 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
University of California, San Diego)
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
Suggested Citation
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 Djur, 2021.
"Genetic loci shared between major depression and intelligence with mixed directions of effect,"
Nature Human Behaviour, Nature, vol. 5(6), pages 795-801, June.
Handle:
RePEc:nat:nathum:v:5:y:2021:i:6:d:10.1038_s41562-020-01031-2
DOI: 10.1038/s41562-020-01031-2
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