Analyzing genetic variations linked to cancers and rare diseases
Mining Thousands of Genomes to Classify Somatic and Pathogenic Structural Variants
This study is looking at how certain genetic changes are linked to cancers and rare diseases, and it's testing a new method to help doctors better understand these changes so they can improve diagnosis and treatment for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Colorado NIH-funded |
| Lab location | 1 site (Boulder, UNITED STATES) |
| Project ID | NIH-10888229 on NIH RePORTER |
What this research studies
This research focuses on understanding structural variants (SVs) in genomes, which are genetic changes associated with various cancers and rare diseases. By developing a new method called STIX, the team aims to dynamically analyze thousands of genomes to better classify these variants as either somatic (cancer-related) or pathogenic (disease-related). This approach seeks to improve the accuracy of genetic interpretations, which can help in diagnosing and treating patients more effectively. The research involves extensive data analysis and filtering to identify true variants while minimizing false positives.
Who could benefit from this research
Good fit: Ideal candidates for this research include patients diagnosed with specific cancers or rare genetic diseases who have undergone genomic sequencing.
Not a fit: Patients without a genetic diagnosis or those whose conditions are not linked to structural variants may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and targeted treatments for patients with cancers and rare genetic disorders.
How similar studies have performed: Previous research has shown promise in analyzing single nucleotide variants, but this approach for structural variants is relatively novel and untested.
Where this research is happening
Boulder, UNITED STATES
- University of Colorado — Boulder, United States (Active)
Researchers
- Principal investigator: Layer, Ryan M — University of Colorado
- Study coordinator: Layer, Ryan M
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 below.