Understanding how evolutionary processes affect genetic diversity
Official title: Jointly modeling the effects of evolutionary processes on genomic variation
Funded at Univ of North Carolina Chapel Hill · NIH-10936799 · Data updated 2026-11-12
This study looks at how different factors, like human movement and natural selection, affect the genetic differences in populations, especially in species that reproduce without mating, to help us better understand how these variations can impact health.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of North Carolina Chapel Hill NIH-funded |
| Lab location | 1 site (Chapel Hill, United States) |
| Project start | August 16, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| Award (this year) | $388,750 |
| NIH project number | 1R35GM154969-01 |
| Project ID | NIH-10936799 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals from diverse populations who may carry genetic traits relevant to diseases or evolutionary studies.
✕Less likely to help
Patients with no genetic variation or those not affected by genetic diseases may not benefit from this research.
What this research studies
This research investigates the factors that shape genetic diversity in natural populations by analyzing variations in DNA sequences. It aims to uncover how selective pressures and historical events, such as human migration, influence genetic traits and diseases. The study employs advanced computational and statistical methods to model the joint effects of selection and other evolutionary processes, particularly in species with compact genomes that reproduce asexually. By focusing on these dynamics, the research seeks to provide insights that could enhance our understanding of genetic variation and its implications for health.
Why it matters
Potential benefit: If successful, this research could lead to improved understanding of genetic diseases and better strategies for managing health conditions linked to genetic variation.
How similar studies have gone: Previous research has shown success in using computational methods to analyze genetic variation, indicating that this approach has potential for significant findings.
Where this research is happening
-
Univ of North Carolina Chapel Hill
Chapel Hill, United States Active
Researchers
- Principal investigator: Johri, Parul — Univ of North Carolina Chapel Hill
- Study coordinator: Johri, Parul
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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.