Scaling up pangenome graphs to study complex genetic changes in Alzheimer's disease
Official title: PG4AD: Scaling up pangenome graph for genotyping complex structural variations for Alzheimer's disease genetics
Funded at Yale University · NIH-11596496 · Data updated 2026-11-12
A research project at Yale aims to improve how we map big genetic variations to understand Alzheimer’s disease.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | March 1, 2026 |
| Project end | February 28, 2029 |
| Funding year | 2026 |
| Award (this year) | $556,358 |
| NIH project number | 7U01AG098387-02 |
| Project ID | NIH-11596496 on NIH RePORTER |
Who could benefit from this research
✓Could help
Individuals with or at risk for Alzheimer’s disease who have genetic data or samples available for analysis.
✕Less likely to help
People without genetic data or not contributing to genetic studies may not directly benefit.
What this research studies
This project will adapt and extend pangenome graph methods to better identify complex structural variations in human genomes, using Alzheimer’s disease genetics data. Researchers will build new algorithms and improve data tools so scientists can analyze genetic differences more accurately in AD populations. The work involves advanced computational approaches and collaboration with existing Alzheimer’s genetics resources to translate findings into more reliable genetic insights. If successful, these methods could help uncover how large-scale genetic changes contribute to AD risk and progression.
Why it matters
Potential benefit: If successful, patients could benefit from more accurate genetic risk profiling and a better understanding of how complex genetic changes influence Alzheimer’s disease.
How similar studies have gone: Previous pangenome and GBWT approaches have shown promise in improving genetic variation analysis, but applying them to complex AD variation is a novel step.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Zhi, Degui — Yale University
- Study coordinator: Zhi, Degui
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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.