Investigating genetic factors and patient differences in Alzheimer's disease
Official title: Multiomics data integration methods to discover putative causal variants, genes and patient heterogeneity for Alzheimers disease
Funded at Columbia University Health Sciences · NIH-10991325 · Data updated 2026-11-12
This study is looking at how our genes and other biological information can help us understand Alzheimer's disease better, so that patients can get more personalized care and possibly new treatments tailored to their specific needs.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Columbia University Health Sciences NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | February 1, 2023 |
| Project end | November 30, 2027 |
| Funding year | 2025 |
| Award (this year) | $538,521 |
| NIH project number | 5R01AG076901-03 |
| Project ID | NIH-10991325 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals diagnosed with late-onset Alzheimer's disease and those with a family history of the condition.
✕Less likely to help
Patients with early-onset Alzheimer's disease or those without a genetic predisposition to the condition may not benefit from this research.
What this research studies
This research aims to uncover the genetic variants and molecular processes that contribute to Alzheimer's disease (AD) by integrating various types of biological data. Using advanced computational methods, the project will analyze genetic information, gene expression, and other molecular traits to identify causal factors and understand how AD affects patients differently. By leveraging multiomics data, the research seeks to provide insights into the underlying mechanisms of AD and improve patient stratification based on genetic risk. Patients may benefit from a better understanding of their condition and potential targeted therapies.
Why it matters
Potential benefit: If successful, this research could lead to more personalized treatment options for Alzheimer's disease patients based on their unique genetic profiles.
How similar studies have gone: Previous research has shown promise in using multiomics approaches to understand complex diseases, suggesting that this methodology could yield valuable insights for Alzheimer's disease as well.
Where this research is happening
-
Columbia University Health Sciences
New York, United States Active
Researchers
- Principal investigator: Wang, Gao — Columbia University Health Sciences
- Study coordinator: Wang, Gao
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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.