Developing tools to detect genetic variations in immune system genes
Official title: Computational toolkit for robust detection of genomic variation in human leukocyte antigen genes
Funded at University of Tx Md Anderson Can Ctr · NIH-11057574 · Data updated 2026-11-12
This study is working on better tools to find genetic changes in HLA genes that are connected to many diseases, so that doctors can more accurately diagnose and tailor treatments for patients based on their unique genetic information.
Quick facts
| Grant type | R01 grant |
|---|---|
| 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 | April 1, 2024 |
| Project end | February 28, 2029 |
| Funding year | 2025 |
| Award (this year) | $263,340 |
| NIH project number | 5R01GM152497-02 |
| Project ID | NIH-11057574 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with autoimmune diseases or those undergoing genetic testing related to HLA genes.
✕Less likely to help
Patients without any genetic predisposition to autoimmune diseases or those not involved in genetic testing may not benefit from this research.
What this research studies
This research focuses on creating advanced computational tools to accurately identify genetic variations in human leukocyte antigen (HLA) genes, which are linked to over 200 diseases. The project aims to enhance existing tools for detecting these variations by improving their accuracy and scalability, making them more reliable for clinical use. By integrating and refining previously developed tools, the research will establish a robust pipeline for analyzing genetic data from large-scale genomic sequencing projects. Patients may benefit from improved diagnostic capabilities and personalized treatment options based on their genetic profiles.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and tailored treatments for patients with autoimmune diseases and other conditions linked to HLA gene variations.
How similar studies have gone: Other research has shown success in developing computational tools for genetic analysis, indicating a promising potential for this novel approach.
Where this research is happening
-
University of Tx Md Anderson Can Ctr
Houston, United States Active
Researchers
- Principal investigator: Shukla, Sachet Ashok — University of Tx Md Anderson Can Ctr
- Study coordinator: Shukla, Sachet Ashok
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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.