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Genome-wide association study identifies four pan-ancestry loci for suicidal ideation in the Million Veteran Program.
Ashley-Koch, Allison E; Kimbrel, Nathan A; Qin, Xue J; Lindquist, Jennifer H; Garrett, Melanie E; Dennis, Michelle F; Hair, Lauren P; Huffman, Jennifer E; Jacobson, Daniel A; Madduri, Ravi K; Coon, Hilary; Docherty, Anna R; Kang, Jooeun; Mullins, Niamh; Ruderfer, Douglas M; Harvey, Philip D; McMahon, Benjamin H; Oslin, David W; Hauser, Elizabeth R; Hauser, Michael A; Beckham, Jean C.
Affiliation
  • Ashley-Koch AE; Duke Molecular Physiology Institute, Durham, North Carolina, United States of America.
  • Kimbrel NA; Department of Medicine, Duke University Health System, Durham, North Carolina, United States of America.
  • Qin XJ; Durham Veterans Affairs (VA) Health Care System, Durham, North Carolina, United States of America.
  • Lindquist JH; VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, North Carolina, United States of America.
  • Garrett ME; VA Health Services Research and Development Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, North Carolina, United States of America.
  • Dennis MF; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, United States of America.
  • Hair LP; Duke Molecular Physiology Institute, Durham, North Carolina, United States of America.
  • Huffman JE; Durham Veterans Affairs (VA) Health Care System, Durham, North Carolina, United States of America.
  • Jacobson DA; VA Health Services Research and Development Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, North Carolina, United States of America.
  • Madduri RK; Duke Molecular Physiology Institute, Durham, North Carolina, United States of America.
  • Coon H; Durham Veterans Affairs (VA) Health Care System, Durham, North Carolina, United States of America.
  • Docherty AR; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, United States of America.
  • Kang J; Durham Veterans Affairs (VA) Health Care System, Durham, North Carolina, United States of America.
  • Mullins N; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, United States of America.
  • Ruderfer DM; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America.
  • Harvey PD; Consortium for Advanced Science and Engineering, The University of Chicago, Chicago, Illinois, United States of America.
  • McMahon BH; Data Science and Learning Division, Argonne National Laboratory, Lemont, Illinois, United States of America.
  • Oslin DW; Department of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.
  • Hauser ER; Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.
  • Hauser MA; Department of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.
  • Beckham JC; Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America.
PLoS Genet ; 19(3): e1010623, 2023 03.
Article de En | MEDLINE | ID: mdl-36940203
ABSTRACT
Suicidal ideation (SI) often precedes and predicts suicide attempt and death, is the most common suicidal phenotype and is over-represented in veterans. The genetic architecture of SI in the absence of suicide attempt (SA) is unknown, yet believed to have distinct and overlapping risk with other suicidal behaviors. We performed the first GWAS of SI without SA in the Million Veteran Program (MVP), identifying 99,814 SI cases from electronic health records without a history of SA or suicide death (SD) and 512,567 controls without SI, SA or SD. GWAS was performed separately in the four largest ancestry groups, controlling for sex, age and genetic substructure. Ancestry-specific results were combined via meta-analysis to identify pan-ancestry loci. Four genome-wide significant (GWS) loci were identified in the pan-ancestry meta-analysis with loci on chromosomes 6 and 9 associated with suicide attempt in an independent sample. Pan-ancestry gene-based analysis identified GWS associations with DRD2, DCC, FBXL19, BCL7C, CTF1, ANNK1, and EXD3. Gene-set analysis implicated synaptic and startle response pathways (q's<0.05). European ancestry (EA) analysis identified GWS loci on chromosomes 6 and 9, as well as GWS gene associations in EXD3, DRD2, and DCC. No other ancestry-specific GWS results were identified, underscoring the need to increase representation of diverse individuals. The genetic correlation of SI and SA within MVP was high (rG = 0.87; p = 1.09e-50), as well as with post-traumatic stress disorder (PTSD; rG = 0.78; p = 1.98e-95) and major depressive disorder (MDD; rG = 0.78; p = 8.33e-83). Conditional analysis on PTSD and MDD attenuated most pan-ancestry and EA GWS signals for SI without SA to nominal significance, with the exception of EXD3 which remained GWS. Our novel findings support a polygenic and complex architecture for SI without SA which is largely shared with SA and overlaps with psychiatric conditions frequently comorbid with suicidal behaviors.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Anciens combattants / Trouble dépressif majeur Type d'étude: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limites: Humans Langue: En Journal: PLoS Genet Sujet du journal: GENETICA Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Anciens combattants / Trouble dépressif majeur Type d'étude: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limites: Humans Langue: En Journal: PLoS Genet Sujet du journal: GENETICA Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique
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