Improving disease risk predictions for diverse populations using genetic and non-genetic data
Official title: Multi-ethnic risk prediction for complex human diseases integrating multi-source genetic and non-genetic information
Funded at University of Pennsylvania · NIH-11041174 · Data updated 2026-11-12
This study is working to improve how we predict the risk of developing Alzheimer's by using genetic information and other factors from people of different backgrounds, so that everyone can benefit from better tools to understand their health risks.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project start | March 2, 2023 |
| Project end | February 28, 2026 |
| Funding year | 2025 |
| Award (this year) | $235,386 |
| NIH project number | 5R00HG012223-04 |
| Project ID | NIH-11041174 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals from various ethnic backgrounds who are at risk for complex diseases such as Alzheimer's.
✕Less likely to help
Patients who are not from diverse ethnic backgrounds or those with conditions not addressed by the research may not benefit from this study.
What this research studies
This research aims to enhance the prediction of disease risk for complex conditions like Alzheimer's by integrating genetic information and other risk factors from diverse ethnic backgrounds. It addresses the current limitations in genome-wide association studies (GWAS) that often overlook non-European populations, potentially leading to health disparities. The project will develop advanced statistical models that combine various data sources to create more accurate risk prediction tools. These tools will be validated and made accessible for clinical use, particularly in precision medicine.
Why it matters
Potential benefit: If successful, this research could lead to more accurate disease risk assessments for patients from diverse backgrounds, ultimately improving prevention and treatment strategies.
How similar studies have gone: Other research has shown success in using multi-ethnic approaches for risk prediction, but this specific integration of genetic and non-genetic factors is relatively novel.
Where this research is happening
-
University of Pennsylvania
Philadelphia, United States Active
Researchers
- Principal investigator: Jin, Jin — University of Pennsylvania
- Study coordinator: Jin, Jin
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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.