Understanding how genes interact to influence complex traits
Official title: Genetic and Nongenetic Variation in Complex Traits
Funded at New York University · NIH-10997432 · Data updated 2026-11-12
This study looks at how both genes and other factors influence different traits in yeast, which helps us understand how these interactions might affect health and disease risks in people, making it easier to tailor medical care to individual needs.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York University NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | January 1, 2023 |
| Project end | December 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $360,016 |
| NIH project number | 5R35GM148344-03 |
| Project ID | NIH-10997432 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals interested in the genetic basis of diseases, particularly those with a family history of complex traits or conditions.
✕Less likely to help
Patients with conditions that do not involve complex genetic traits or those not interested in genetic research may not benefit from this research.
What this research studies
This research investigates the genetic and nongenetic factors that contribute to variations in complex traits using the budding yeast, Saccharomyces cerevisiae, as a model organism. By analyzing single-cell traits, the study aims to uncover how gene interactions, known as epistasis, affect natural trait variation. This knowledge is crucial for advancing personalized medicine, particularly in predicting disease risks based on individual genetic profiles. The research employs large-scale experimental approaches to enhance the detection of these genetic interactions and explores a variety of traits, including cell shape and size.
Why it matters
Potential benefit: If successful, this research could lead to improved predictions of disease risk and more effective personalized treatment strategies.
How similar studies have gone: Previous research has shown success in understanding gene interactions in simpler models, but this approach to complex traits in natural populations is relatively novel.
Where this research is happening
-
New York University
New York, United States Active
Researchers
- Principal investigator: Siegal, Mark L — New York University
- Study coordinator: Siegal, Mark L
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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.