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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.
- Levey, Daniel;
- Stein, Murray;
- Wendt, Frank;
- Pathak, Gita;
- Zhou, Hang;
- Aslan, Mihaela;
- Quaden, Rachel;
- Harrington, Kelly;
- Nuñez, Yaira;
- Overstreet, Cassie;
- Radhakrishnan, Krishnan;
- Sanacora, Gerard;
- McIntosh, Andrew;
- Shi, Jingchunzi;
- Shringarpure, Suyash;
- Concato, John;
- Polimanti, Renato;
- Gelernter, Joel
- et al.
Published Web Location
https://doi.org/10.1038/s41593-021-00860-2Abstract
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.
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