Understanding how genetics and social factors affect health disparities among different racial and ethnic groups.
Official title: Genetic & Social Determinants of Health: Center for Admixture Science and Technology
Funded at Yale University · NIH-10924015 · Data updated 2026-11-12
This study is looking at how both genetics and social factors affect health differences among different racial and ethnic groups in the U.S., and it's designed for anyone interested in understanding how our backgrounds can influence our health.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | July 1, 2023 |
| Project end | June 30, 2026 |
| Funding year | 2024 |
| Award (this year) | $1,816,053 |
| NIH project number | 5RM1HG011558-04 |
| Project ID | NIH-10924015 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals from various racial and ethnic backgrounds, particularly those who are part of minority groups or have mixed ancestry.
✕Less likely to help
Patients who do not belong to racial or ethnic minority groups may not receive direct benefits from this research.
What this research studies
This research investigates the complex interplay between genetic and social determinants of health, particularly focusing on health disparities among various racial and ethnic groups in the United States. By utilizing data from the All of Us Program and the Million Veterans Program, the study aims to develop algorithms that allow for privacy-protecting distributed computing, enabling researchers to analyze genetic and socioeconomic factors without compromising individual data. The goal is to better understand how historical and recent admixture influences health outcomes, particularly for individuals with diverse ancestries.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective health interventions that address the unique needs of diverse populations.
How similar studies have gone: Previous research has shown success in understanding health disparities through genetic and social determinants, but this approach of using privacy-protecting distributed computing is relatively novel.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Ohno-Machado, Lucila — Yale University
- Study coordinator: Ohno-Machado, Lucila
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.