Fair Genetic Predictions for Complex Diseases
Making Genomic Prediction of Complex Disease Equitable
This project aims to make genetic predictions for complex diseases more accurate and fair for people from all backgrounds.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Texas at Austin NIH-funded |
| Lab location | 1 site (Austin, United States) |
| Project ID | NIH-11131282 on NIH RePORTER |
What this research studies
This project is developing new ways to understand how our genes relate to diseases. Researchers are creating better statistical tools to analyze large genetic datasets, called Genome-Wide Association Studies (GWAS). A key goal is to improve 'polygenic scores,' which are genetic predictions for complex conditions, so they work equally well for people of all ancestries and backgrounds. They also want to better understand how our genes interact with our environment to influence health.
Who could benefit from this research
Good fit: This project does not directly involve patient participation, but its findings could eventually benefit anyone interested in their genetic risk for complex diseases.
Not a fit: Patients seeking immediate clinical interventions or direct genetic counseling will not receive benefit from this foundational research.
Why it matters
Potential benefit: If successful, this work could lead to more accurate and fair genetic risk predictions for complex diseases, especially for historically underserved communities.
How similar studies have performed: This project proposes new statistical methods to address known challenges in genetic prediction, building on existing population genetics and statistical genetics expertise.
Where this research is happening
Austin, United States
- University of Texas at Austin — Austin, United States (Active)
Researchers
- Principal investigator: Harpak, Arbel — University of Texas at Austin
- Study coordinator: Harpak, Arbel
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.