Improving methods to analyze genetic data for infectious diseases
Tree-based population genetics methods for genetic epidemiology
This study is working on new ways to analyze the genetic information of germs that cause infections, so we can better understand how diseases spread and change, which could help improve how we track and treat these illnesses for patients like you.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cornell University NIH-funded |
| Lab location | 1 site (Ithaca, United States) |
| Project ID | NIH-11021642 on NIH RePORTER |
What this research studies
This research focuses on enhancing computational methods to better understand the genetic data of pathogens, particularly in the context of infectious diseases. By developing new statistical and computational techniques, the project aims to incorporate complex biological and epidemiological factors that influence disease dynamics. The research will utilize high-throughput sequencing data to create more accurate models that reflect real-world scenarios of infection spread and evolution. Patients may benefit from improved disease surveillance and understanding of how infections behave at a genetic level.
Who could benefit from this research
Good fit: Ideal candidates for participation or benefit from this research include individuals affected by communicable diseases, particularly those with disseminated tuberculosis.
Not a fit: Patients with non-communicable diseases or those not affected by infectious diseases may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective strategies for monitoring and controlling infectious diseases.
How similar studies have performed: Other research has shown success in using advanced computational methods for genetic epidemiology, indicating that this approach has potential for significant advancements.
Where this research is happening
Ithaca, United States
- Cornell University — Ithaca, United States (Active)
Researchers
- Principal investigator: Kim, Jaehee — Cornell University
- Study coordinator: Kim, Jaehee
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.