Improving genetic analysis using diverse human genomes
Official title: Fully Realizing Pangenomics Alignment
Funded at University of Florida · NIH-11194032 · Data updated 2026-11-12
This study is working on new ways to look at our genes by using many different human genomes instead of just one, which could help us find important genetic differences related to conditions like autism, ultimately leading to better and more personalized treatment options for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Florida NIH-funded |
| Lab location | 1 site (Gainesville, United States) |
| Project start | September 25, 2024 |
| Project end | August 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $644,578 |
| NIH project number | 1R56HG013865-01 |
| Project ID | NIH-11194032 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with autism spectrum disorders or related genetic conditions who may benefit from advanced genetic analysis.
✕Less likely to help
Patients with conditions unrelated to genetic variation or those who do not have access to genetic testing may not receive benefits from this research.
What this research studies
This research focuses on enhancing the accuracy of genetic analysis by developing new algorithms for pangenomics alignment, which utilizes multiple human genomes instead of relying on a single reference genome. By addressing the limitations of current methods, the project aims to improve the identification of genetic variations that are crucial for understanding conditions like autism. Patients may benefit from more precise genetic insights that could inform personalized treatment options. The research will involve computational methods and bioinformatics to analyze genetic data from diverse populations.
Why it matters
Potential benefit: If successful, this research could lead to more accurate genetic analyses, improving diagnosis and treatment options for patients with genetic disorders.
How similar studies have gone: Previous research has shown that using diverse genomic data can enhance genetic analysis, indicating that this approach has potential for success.
Where this research is happening
-
University of Florida
Gainesville, United States Active
Researchers
- Principal investigator: Boucher, Christina — University of Florida
- Study coordinator: Boucher, Christina
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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.