Using genetic risk scores to predict health outcomes in diverse populations
Official title: Assessing Clinical Utility of Polygenic Risk Scores in Ancestrally Diverse Real-World Cohorts
Funded at University of California, San Francisco · NIH-11019689 · Data updated 2026-11-12
This study is looking at how well genetic information can help predict health issues like high blood pressure and heart disease in people from different backgrounds, and it’s especially focused on including those who are often overlooked in research, so everyone can benefit from better health care.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project start | January 1, 2024 |
| Project end | March 31, 2025 |
| Funding year | 2025 |
| Award (this year) | $20,531 |
| NIH project number | 5F99HG013437-02 |
| Project ID | NIH-11019689 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates include individuals from ancestrally diverse backgrounds, particularly those at risk for hypertension and related health outcomes.
✕Less likely to help
Patients who do not have a genetic predisposition to the conditions being studied may not benefit from this research.
What this research studies
This research aims to evaluate how well polygenic risk scores (PRSs) can predict health outcomes in individuals from various ancestral backgrounds. By analyzing genetic data alongside lifestyle and environmental factors, the study seeks to improve disease screening and prevention strategies. Participants will contribute to understanding how these scores can be applied in real-world clinical settings, particularly for conditions like hypertension and cardiovascular diseases. The research focuses on underrepresented populations to ensure that findings are applicable to a broader range of individuals.
Why it matters
Potential benefit: If successful, this research could lead to more accurate health predictions and personalized prevention strategies for diverse patient populations.
How similar studies have gone: Previous research has shown promise in using polygenic risk scores for health predictions, but this approach in diverse populations is still being explored.
Where this research is happening
-
University of California, San Francisco
San Francisco, United States Active
Researchers
- Principal investigator: Mavura, Yusuph — University of California, San Francisco
- Study coordinator: Mavura, Yusuph
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.