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Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions
Major depressive disorder is the most common neuropsychiatric disorder, affecting 11% of veterans. Here we report results of a large meta-analysis of depression using data from the Million Veteran Program, 23andMe, UK Biobank and FinnGen, including individuals of European ancestry ( n = 1,154,267;...
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Published in: | Nature neuroscience 2021-07, Vol.24 (7), p.954-963 |
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Main Authors: | , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Major depressive disorder is the most common neuropsychiatric disorder, affecting 11% of veterans. Here we report results of a large meta-analysis of depression using data from the Million Veteran Program, 23andMe, UK Biobank and FinnGen, including individuals of European ancestry (
n
= 1,154,267; 340,591 cases) and African ancestry (
n
= 59,600; 25,843 cases). Transcriptome-wide association study analyses revealed significant associations with expression of
NEGR1
in the hypothalamus and
DRD2
in the nucleus accumbens, among others. We fine-mapped 178 genomic risk loci, and we identified likely pathogenicity in these variants and overlapping gene expression for 17 genes from our transcriptome-wide association study, including
TRAF3
. Finally, we were able to show substantial replications of our findings in a large independent cohort (
n
= 1,342,778) provided by 23andMe. This study sheds light on the genetic architecture of depression and provides new insight into the interrelatedness of complex psychiatric traits.
This bi-ancestral genome-wide association study of major depressive disorder (MDD) identified 178 risk variants. The results advance understanding of the biology of MDD and hint at new treatment possibilities. |
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ISSN: | 1097-6256 1546-1726 1546-1726 |
DOI: | 10.1038/s41593-021-00860-2 |