Understanding how genetic variations affect human traits across different populations
Official title: Characterization of adaptive cis-regulatory variation across global populations
Funded at Yale University · NIH-10997667 · Data updated 2026-11-12
This study is looking at how our genes can affect our health and traits, especially in different groups of people, to help everyone understand their unique genetic makeup and find better ways to stay healthy.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | November 1, 2024 |
| Project end | October 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $48,974 |
| NIH project number | 1F31HG013889-01 |
| Project ID | NIH-10997667 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals from diverse ancestral backgrounds who are interested in understanding their genetic predispositions to certain traits and diseases.
✕Less likely to help
Patients with no interest in genetic research or those from homogeneous ancestral backgrounds may not receive significant benefits from this research.
What this research studies
This research investigates the genetic variations that contribute to differences in human traits and disease risks among diverse populations. By using advanced machine-learning techniques and functional genomics, the project aims to identify and catalog adaptive genetic variants that are often overlooked due to their location in non-coding regions of the genome. The approach focuses on creating tools that are not biased towards any specific ancestry, allowing for a more comprehensive understanding of how these genetic factors influence health and adaptation. Patients may benefit from insights into their own genetic predispositions and tailored health strategies based on these findings.
Why it matters
Potential benefit: If successful, this research could lead to improved understanding of genetic factors influencing health, enabling personalized medicine approaches for diverse populations.
How similar studies have gone: Previous research has shown success in identifying genetic variations linked to health outcomes using similar machine-learning and genomic approaches, suggesting a promising avenue for this project.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Akers, Jared Fox — Yale University
- Study coordinator: Akers, Jared Fox
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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.