New methods to understand how genes affect responses to drugs in complex diseases
Official title: Novel computational approaches for pharmacogenomics of complex diseases
Funded at University of Pittsburgh at Pittsburgh · NIH-10937188 · Data updated 2026-11-12
This study is looking at how our genes can affect how well different treatments work for complex diseases, and it's designed to help patients by finding better ways to personalize their therapies.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pittsburgh at Pittsburgh NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project start | September 1, 2024 |
| Project end | August 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $385,700 |
| NIH project number | 1R35GM154967-01 |
| Project ID | NIH-10937188 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with complex diseases such as cancer, autoimmune disorders, or hematopoietic disorders who may benefit from tailored therapies.
✕Less likely to help
Patients with simple or well-defined diseases that do not involve complex genetic interactions may not receive benefit from this research.
What this research studies
This research focuses on improving therapies for complex diseases by understanding how genetic variations influence drug responses. The team uses advanced machine and deep learning models to analyze diverse biomedical data, including genetic and multi-omic information. By predicting how therapies affect diseased cells and identifying interactions between genes and drugs, the research aims to optimize treatment strategies and enhance patient outcomes. The project will also develop accessible computational resources to support these efforts.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatment options for patients with complex diseases.
How similar studies have gone: Previous research has shown success in using computational approaches to enhance understanding of pharmacogenomics, indicating that this approach has potential for meaningful advancements.
Where this research is happening
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University of Pittsburgh at Pittsburgh
Pittsburgh, United States Active
Researchers
- Principal investigator: Chiu, Yu-Chiao — University of Pittsburgh at Pittsburgh
- Study coordinator: Chiu, Yu-Chiao
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.