Understanding how human genetic mixing affects health and diversity
Official title: Deciphering The Evolutionary and Biological Impact of Human Admixture
Funded at University of Michigan at Ann Arbor · NIH-10937270 · Data updated 2026-11-12
This study is looking at how mixing different genetic backgrounds affects our health and diversity, especially in groups that haven't been well studied before, to help us understand why some health issues are more common in certain populations.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project start | September 4, 2024 |
| Project end | July 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $275,627 |
| NIH project number | 1R35GM154856-01 |
| Project ID | NIH-10937270 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals from diverse genetic backgrounds, particularly those from underrepresented non-European populations.
✕Less likely to help
Patients who do not belong to diverse genetic backgrounds or those who are not affected by health disparities may not benefit from this research.
What this research studies
This research investigates the evolutionary process of human admixture, which is the mixing of different genetic backgrounds, and its impact on health and genetic diversity. By developing advanced computational methods and analyzing genetic data from diverse populations, the research aims to uncover the history of human genetic mixing and its effects on complex traits. The project will focus on both ancient admixture events and recent genetic mixing, particularly in underrepresented non-European populations, to better understand how these factors influence health disparities.
Why it matters
Potential benefit: If successful, this research could lead to improved understanding of genetic factors that contribute to health disparities, potentially informing personalized medicine and public health strategies.
How similar studies have gone: Other research has shown success in using computational methods to analyze genetic diversity and health outcomes, indicating that this approach has potential for significant findings.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: Zhang, Xinjun — University of Michigan at Ann Arbor
- Study coordinator: Zhang, Xinjun
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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.