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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 F; Stein, Murray B; Wendt, Frank R; Pathak, Gita A; Zhou, Hang; Aslan, Mihaela; Quaden, Rachel; Harrington, Kelly M; Nuñez, Yaira Z; Overstreet, Cassie; Radhakrishnan, Krishnan; Sanacora, Gerard; McIntosh, Andrew M; Shi, Jingchunzi; Shringarpure, Suyash S; Concato, John; Polimanti, Renato; Gelernter, Joel.
Afiliação
  • Levey DF; Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
  • Stein MB; Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA.
  • Wendt FR; Psychiatry Service, VA San Diego Healthcare System, San Diego, CA, USA. mstein@health.ucsd.edu.
  • Pathak GA; Departments of Psychiatry and Herbert Wertheim School of Public Health, University of California, San Diego, La Jolla, CA, USA. mstein@health.ucsd.edu.
  • Zhou H; Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
  • Aslan M; Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA.
  • Quaden R; Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
  • Harrington KM; Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA.
  • Nuñez YZ; Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
  • Overstreet C; Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA.
  • Radhakrishnan K; Cooperative Studies Program (CSP), VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA.
  • Sanacora G; Department of General Medicine, Yale University School of Medicine, New Haven, CT, USA.
  • McIntosh AM; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
  • Shi J; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
  • Shringarpure SS; Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA.
  • Concato J; Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
  • Polimanti R; Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA.
  • Gelernter J; Cooperative Studies Program (CSP), VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA.
Nat Neurosci ; 24(7): 954-963, 2021 07.
Article em En | MEDLINE | ID: mdl-34045744
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Transtorno Depressivo Maior Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Female / Humans / Male Idioma: En Revista: Nat Neurosci Assunto da revista: NEUROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Transtorno Depressivo Maior Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Female / Humans / Male Idioma: En Revista: Nat Neurosci Assunto da revista: NEUROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos