Understanding how genetic variations affect human traits across different populations
Characterization of adaptive cis-regulatory variation across global populations
['FUNDING_FELLOWSHIP'] · YALE UNIVERSITY · NIH-10997667
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
| Phase | ['FUNDING_FELLOWSHIP'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | YALE UNIVERSITY (nih funded) |
| Locations | 1 site (NEW HAVEN, UNITED STATES) |
| Trial ID | NIH-10997667 on ClinicalTrials.gov |
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.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals from diverse ancestral backgrounds who are interested in understanding their genetic predispositions to certain traits and diseases.
Not a fit: Patients with no interest in genetic research or those from homogeneous ancestral backgrounds may not receive significant benefits from this research.
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 performed: 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
NEW HAVEN, UNITED STATES
- YALE UNIVERSITY — NEW HAVEN, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: AKERS, JARED FOX — YALE UNIVERSITY
- Study coordinator: AKERS, JARED FOX
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.