New methods to identify disease-related genetic variations
New computational methods to dynamically pinpointing the subregions carrying disease-associated rare variants
This study is looking at how certain tiny changes in our genes might be linked to diseases like ALS, using advanced computer techniques to find exactly where these changes happen, which could help us understand the disease better and find new ways to treat it.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-10924043 on NIH RePORTER |
What this research studies
This research focuses on developing advanced computational techniques to identify specific subregions within genes that are associated with rare genetic variants linked to diseases like Amyotrophic Lateral Sclerosis (ALS). By utilizing high-throughput sequencing data, the researchers aim to enhance the power of genetic analyses, allowing for a more precise understanding of how certain mutations contribute to disease. The approach involves aggregating data from various gene segments to pinpoint where pathogenic variants are concentrated, which can lead to better insights into disease mechanisms and potential treatments.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with Amyotrophic Lateral Sclerosis or those with a family history of genetic disorders related to ALS.
Not a fit: Patients with common forms of ALS that do not have a genetic basis or those without a family history of genetic variants may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic tools and targeted therapies for patients with ALS and other genetic disorders.
How similar studies have performed: Previous research has shown promise in using computational methods to analyze genetic variants, indicating that this approach could yield significant advancements in understanding complex diseases.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Xie, Jichun — Duke University
- Study coordinator: Xie, Jichun
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.