Reducing suicide and suicidal behavior (i.e., self-directed violence) is a top priority for the Department of Veterans Affairs. Recent statistics indicate that, on average, 20 Veterans die by suicide in the U.S. each day. Family, adoption, and twin studies indicate that genetic factors account for 30-50% of the heritability in suicidal behavior. Numerous candidate gene and genome wide association studies (GWAS) have been conducted to identify variants associated with suicidal behavior; however, a major limitation of all prior genetic studies in this area of research is low statistical power due to small sample sizes and the infrequency with which suicidal behavior occurs. Another significant limitation concerns the failure of most prior genetic studies of suicidal behavior to include Veterans, despite the fact that Veterans are at significantly increased risk for suicide and suicidal behavior. The proposed research will address these limitations by leveraging the genetic and phenotypic data available through the Million Veteran Program (MVP) and other key administrative databases to perform the largest and most well-powered GWAS of suicidal behavior to date. The potential impact of identifying novel genetic markers that reliably predict suicidal behavior would be enormous. It could fundamentally shift current understanding of the biology of suicide, lead to new and improved approaches to suicide prevention for Veterans and civilians alike, and significantly improve VA's ongoing efforts to identify and intervene with high risk Veterans before they engage in suicidal behavior. Our long-term goal is to develop effective screening and intervention strategies to reduce the occurrence of suicide and suicidal behavior. The overall objective of this application is to discover novel genetic variants that increase Veterans' risk for suicidal behavior. The rationale for the proposed research is that identification of genetic variants that are reliably associated with suicidal behavior could lead to the discovery of novel, clinically-meaningful biological pathways that could, in turn, lead to new and improved suicide prevention approaches for Veterans. We will accomplish our overall objective by pursuing the following specific aims:
In Aim 1, we will refine the phenotypes that we will use to define cases of suicidal behavior within MVP.
In Aim 2, we will use GWAS to identify novel genetic variants associated with suicide attempts and suicidal ideation among Veterans in MVP.
In Aim 3, we will replicate significant findings obtained from the MVP cohort in the Mid-Atlantic MIRECC and Army STARRS Cohorts.
In Aim 4, we will explore whether the genetic findings obtained from MVP can be used to improve VA's ability to identify Veterans at risk for suicidal behavior.

Public Health Relevance

In addition to the tremendous pain and grief associated with death by suicide and suicidal behavior, there are staggering economic costs associated with these tragic events. Reducing suicide is among VA's top priorities and clinical missions. Recent statistics indicate that, on average, 20 Veterans die by suicide in the U.S. each day. Family, adoption, and twin studies indicate that genetic factors account for 30-50% of the heritability in suicidal behavior; however, the genetic basis of suicidal behavior is largely unknown at present. The overall objective of the present application is to discover novel genetic variants that increase Veterans' risk for suicidal behavior. The potential impact of identifying novel genetic markers that reliably predict suicidal behavior would be enormous. It could fundamentally shift current understanding of the biology of suicide, lead to new and improved approaches to suicide prevention for Veterans and civilians alike, and significantly improve VA's ongoing efforts to identify and intervene with high risk Veterans before they engage in suicidal behavior.

Agency
National Institute of Health (NIH)
Institute
Veterans Affairs (VA)
Type
Non-HHS Research Projects (I01)
Project #
1I01CX001729-01
Application #
9483413
Study Section
Special Initiatives - MVP Projects (SPLM)
Project Start
2019-01-01
Project End
2020-12-31
Budget Start
2019-01-01
Budget End
2019-12-31
Support Year
1
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Durham VA Medical Center
Department
Type
DUNS #
043241082
City
Durham
State
NC
Country
United States
Zip Code
27705