Developing tools to analyze genetic variations linked to health and disease.
Official title: Creating an advanced multi-ancestral resource and tools for short tandem repeat analysis in the AOURP researcher workbench
Funded at University of Miami School of Medicine · NIH-10798717 · Data updated 2026-11-12
This study is looking at tiny genetic variations in our DNA that can affect our health, using new technology to gather and analyze information from people with different backgrounds, so we can better understand how these variations might help improve diagnoses and treatments for various health issues.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Miami School of Medicine NIH-funded |
| Lab location | 1 site (Coral Gables, United States) |
| Project start | September 15, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $422,125 |
| NIH project number | 1R21HG013397-01 |
| Project ID | NIH-10798717 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals from various ancestral backgrounds who may have genetic conditions linked to tandem repeats.
✕Less likely to help
Patients with no known genetic conditions or those not interested in genetic research may not receive direct benefits from this research.
What this research studies
This research focuses on creating advanced resources and analytical tools to study short tandem repeats (TRs) in the human genome, which are variations that can influence health and disease. By utilizing cutting-edge bioinformatics and long-read sequencing technologies, the project aims to analyze a vast dataset of TRs from diverse ancestral backgrounds. Patients may benefit from insights gained about how these genetic variations relate to various health conditions, potentially leading to improved diagnostics and treatments.
Why it matters
Potential benefit: If successful, this research could enhance our understanding of genetic factors influencing health and lead to better disease management for diverse populations.
How similar studies have gone: Previous research has shown promise in analyzing genetic variations using similar bioinformatics approaches, indicating potential for success in this novel investigation.
Where this research is happening
-
University of Miami School of Medicine
Coral Gables, United States Active
Researchers
- Principal investigator: Danzi, Matthew Christopher — University of Miami School of Medicine
- Study coordinator: Danzi, Matthew Christopher
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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.