Understanding the genetic and clinical factors of bicuspid aortic disease
Official title: Towards Precision Medicine for Thoracic Aortic Disease: Defining the Clinical and Genomic Drivers of Bicuspid Aortopathy
Funded at University of Utah · NIH-11080965 · Data updated 2026-11-12
This study is looking at how genes and health history affect bicuspid aortic valve disease, which can cause serious heart issues, and it aims to find better ways to predict and treat this condition, so patients may be asked to share their health information and genetic samples to help with the research.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Utah NIH-funded |
| Lab location | 1 site (Salt Lake City, United States) |
| Project start | May 1, 2023 |
| Project end | April 30, 2028 |
| Funding year | 2025 |
| Award (this year) | $171,213 |
| NIH project number | 5K08HL165084-03 |
| Project ID | NIH-11080965 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals diagnosed with bicuspid aortic valve disease or those with a family history of aortic conditions.
✕Less likely to help
Patients without a diagnosis of bicuspid aortic valve disease or those not at risk for aortic aneurysms may not benefit from this research.
What this research studies
This research investigates the genetic and clinical factors that contribute to bicuspid aortic valve (BAV) disease, which can lead to serious conditions like aortic aneurysms. The study employs advanced statistical methods and artificial intelligence to identify risk factors and develop predictive models for patients with BAV aortopathy. By analyzing genetic data and clinical histories, the research aims to enhance precision medicine approaches for better patient outcomes. Patients may be involved in providing genetic samples and health information to support this innovative research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate risk assessments and personalized treatment plans for patients with bicuspid aortic disease.
How similar studies have gone: Previous research has shown promise in using genetic and AI-based approaches to understand cardiovascular diseases, indicating that this method could yield valuable insights.
Where this research is happening
-
University of Utah
Salt Lake City, United States Active
Researchers
- Principal investigator: Glotzbach, Jason Paul — University of Utah
- Study coordinator: Glotzbach, Jason Paul
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.