Improving disease risk predictions for diverse populations using genetic and non-genetic data
Multi-ethnic risk prediction for complex human diseases integrating multi-source genetic and non-genetic information
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 ID | NIH-11041174 on NIH RePORTER |
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.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals from various ethnic backgrounds who are at risk for complex diseases such as Alzheimer's.
Not a fit: Patients who are not from diverse ethnic backgrounds or those with conditions not addressed by the research may not benefit from this study.
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 performed: 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
Philadelphia, United States
- University of Pennsylvania — Philadelphia, United States (Active)
Researchers
- Principal investigator: Jin, Jin — University of Pennsylvania
- Study coordinator: Jin, Jin
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.