Developing better methods to predict genetic risks for diseases.
New methods for constructing and evaluating polygenic scores
This study is working on making better tools to predict the risk of complex diseases using genetic information, so that people from all backgrounds can get more accurate health insights tailored to them.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project ID | NIH-10674844 on NIH RePORTER |
What this research studies
This research focuses on improving how we predict the risk of complex diseases based on genetic information. It aims to create more accurate polygenic risk scores that can be applied to diverse populations, not just those of European ancestry. The researchers will analyze various factors that affect the accuracy of these predictions and develop new statistical methods to enhance their effectiveness. By combining genetic data with clinical information, the goal is to provide better risk assessments for patients in clinical settings.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with a family history of cardiovascular diseases or those who are at increased genetic risk for such conditions.
Not a fit: Patients who do not have a genetic predisposition to cardiovascular diseases may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and accurate risk assessments for patients, improving early detection and prevention strategies for cardiovascular diseases.
How similar studies have performed: Other research has shown promise in developing polygenic risk scores, but this approach aims to address limitations in portability across different populations, making it a novel effort.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Pritchard, Jonathan K — Stanford University
- Study coordinator: Pritchard, Jonathan K
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.