Understanding how genetic differences affect drug responses
Official title: Computational methods for characterizing sources of variability in drug response
Funded at Stanford University · NIH-10841294 · Data updated 2026-11-12
This study is looking at how our genes can affect how well medications work for different people, with the hope of creating better and safer treatments for everyone.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | September 20, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| Award (this year) | $347,767 |
| NIH project number | 1R35GM153195-01 |
| Project ID | NIH-10841294 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals who are prescribed medications and may experience varying responses due to genetic differences.
✕Less likely to help
Patients who do not take medications or have conditions that do not involve pharmacological treatment may not benefit from this research.
What this research studies
This research investigates the complex mechanisms behind how different individuals respond to medications, focusing on the roles of genetic and epigenetic variations. By utilizing advanced computational methods, the project aims to analyze vast amounts of data from various sources, including genetic profiles and electronic medical records, to identify factors that contribute to variability in drug efficacy and safety. The goal is to develop more precise drug therapies that minimize adverse effects and enhance treatment outcomes for patients.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective drug therapies, reducing adverse drug reactions and improving patient outcomes.
How similar studies have gone: Previous research has shown success in using computational methods to analyze drug response variability, indicating a promising approach in this area.
Where this research is happening
-
Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Altman, Russ Biagio — Stanford University
- Study coordinator: Altman, Russ Biagio
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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.