Developing new methods to analyze genetic data for disease risk
Official title: Development of large-scale composite null hypothesis testing approaches to perform translational genetics analyses
Funded at University of Tx Md Anderson Can Ctr · NIH-10937675 · Data updated 2026-11-12
This study is looking at new ways to analyze genetic information to help us understand how certain gene variations might be connected to complex diseases, which could eventually lead to better treatments and prevention strategies for patients like you.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Tx Md Anderson Can Ctr NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project start | September 15, 2024 |
| Project end | July 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $408,750 |
| NIH project number | 1R35GM154843-01 |
| Project ID | NIH-10937675 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with a family history of genetic disorders or those diagnosed with complex diseases that may have a genetic component.
✕Less likely to help
Patients with purely environmental diseases or those without any genetic predisposition may not benefit from this research.
What this research studies
This research focuses on improving statistical methods used in genetics to better understand how certain genetic variations are linked to complex diseases. By developing new approaches for testing multiple hypotheses simultaneously, the research aims to identify genetic signals that may indicate risks for various conditions. Patients may benefit from these findings as they could lead to more effective treatments or preventive measures based on genetic information. The study will utilize advanced data analysis techniques to ensure robust and interpretable results.
Why it matters
Potential benefit: If successful, this research could lead to more accurate identification of genetic risk factors for diseases, improving patient outcomes through targeted therapies.
How similar studies have gone: Previous research has shown promise in using advanced statistical methods for genetic analysis, indicating that this approach could yield significant insights.
Where this research is happening
-
University of Tx Md Anderson Can Ctr
Houston, United States Active
Researchers
- Principal investigator: Sun, Ryan — University of Tx Md Anderson Can Ctr
- Study coordinator: Sun, Ryan
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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.