Using health records and genetic data to predict suicide risk
Prediction of suicide death using EHR and polygenic risk scores
This study is looking at how combining health records and genetic information can help identify people at risk of suicide, even if they haven't shown any warning signs before, so we can find better ways to support and prevent these tragedies.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Utah NIH-funded |
| Lab location | 1 site (Salt Lake City, United States) |
| Project ID | NIH-10880372 on NIH RePORTER |
What this research studies
This research investigates how electronic health records (EHR) and genetic information can be combined to better predict the risk of suicide death. By analyzing data from the Utah Suicide Genetic Risk Study, the team aims to identify high-risk individuals who may not show prior signs of suicidal behavior. The study will utilize advanced statistical methods to assess patterns and correlations in the data, which could lead to more effective prevention strategies. The goal is to enhance our understanding of the factors contributing to suicide risk and improve targeted interventions.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals with a history of suicidal thoughts or behaviors, as well as those with genetic predispositions to mental health issues.
Not a fit: Patients who have no history of mental health issues or suicidal thoughts may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved methods for identifying individuals at high risk for suicide, potentially saving lives through timely interventions.
How similar studies have performed: While there have been advancements in predicting suicidal behavior, this approach combining EHR and genetic data is relatively novel and has not been extensively tested.
Where this research is happening
Salt Lake City, United States
- University of Utah — Salt Lake City, United States (Active)
Researchers
- Principal investigator: Coon, Hilary — University of Utah
- Study coordinator: Coon, Hilary
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.