Published March 20, 2023 | Version v1
Journal article Open

Genome-wide association study identifies four pan-ancestry loci for suicidal ideation in the Million Veteran Program

  • 1. Duke Molecular Physiology Institute
  • 2. Durham Veterans Affairs (VA) Health Care System
  • 3. VA Health Services Research and Development Center of Innovation to Accelerate Discovery and Practice Transformation
  • 4. Durham Veterans Affairs (VA) Health Care System, Durham
  • 5. Massachusetts Veterans Epidemiology Research and Information Center
  • 6. Oak Ridge National Laboratory
  • 7. University of Chicago
  • 8. University of Utah
  • 9. Vanderbilt University
  • 10. Icahn School of Medicine at Mount Sinai
  • 11. Bruce W. Carter VA Medical Center
  • 12. Los Alamos National Laboratory

Description

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.

Notes

Due to the large number of authors, only the first 20 and the University of Chicago authors are included on the above author list. Please download the article for the complete list of authors.

Data availability

The GWAS summary statistics generated from this study is available via dbGaP; the dbGaP accession assigned to the Million Veteran Program is phs001672.

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Additional details

Identifiers

DOI
10.1371/journal.pgen.1010623
Other
oai:uchicago.tind.io:5746

Funding

Office of Research and Development, Veterans Health Administration
#I01CX001729
Office of Research and Development, Veterans Health Administration
Senior Research Career Scientist Award
Brain & Behavior Research Foundation
NARSAD Young Investigator Award
National Institutes of Health
R01MH123619
National Institutes of Health
R01MH123489
Unknown funder
Joint U.S. Department of Veterans Affairs and U.S. Department of Energy MVP CHAMPION program

UChicago Information

Division(s)
Physical Sciences Division
Center(s) or Institute(s)
Data Science Institute