Developing better statistical tools for studying the microbiome over time
Official title: Robust Statistical Methods for Longitudinal Microbiome Studies
Funded at Weill Medical Coll of Cornell Univ · NIH-10943343 · Data updated 2026-11-12
This study is working on better ways to understand how the bacteria in our bodies change over time, which could help us learn more about how these changes affect our health and lead to new treatments just for you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Weill Medical Coll of Cornell Univ NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | September 25, 2024 |
| Project end | July 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $427,368 |
| NIH project number | 1R01GM155734-01 |
| Project ID | NIH-10943343 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals participating in longitudinal microbiome studies or those with conditions influenced by microbiome changes.
✕Less likely to help
Patients who are not involved in microbiome studies or do not have conditions related to microbiome health may not benefit from this research.
What this research studies
This research focuses on improving the analysis of large-scale longitudinal microbiome studies, which track changes in the microbiome over time. The team aims to create advanced statistical methods that can accurately account for the unique characteristics of microbiome data and the complexities of longitudinal studies. By addressing issues such as batch effects and identifying key microbial interactions, the research seeks to enhance our understanding of how the microbiome influences health and disease. Patients may benefit from these insights through the development of microbiota-based interventions tailored to their specific conditions.
Why it matters
Potential benefit: If successful, this research could lead to more effective microbiome-based treatments for various health conditions.
How similar studies have gone: Other research has shown promise in developing statistical methods for microbiome analysis, indicating that this approach could build on existing knowledge.
Where this research is happening
-
Weill Medical Coll of Cornell Univ
New York, United States Active
Researchers
- Principal investigator: Ling, Wodan — Weill Medical Coll of Cornell Univ
- Study coordinator: Ling, Wodan
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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.