Developing new statistical methods to combine data from different studies for disease risk assessment
Official title: Statistical Methods for Data Integration and Applications to Genome-wide Association Studies
Funded at Johns Hopkins University · NIH-10980746 · Data updated 2026-11-12
This study is working on new ways to combine information from different health studies to help us understand what increases the risk of diseases like diabetes and cancer, so that patients can get better insights into their health.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project start | September 23, 2024 |
| Project end | June 30, 2028 |
| Funding year | 2024 |
| Award (this year) | $421,361 |
| NIH project number | 1R01HG013137-01A1 |
| Project ID | NIH-10980746 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with complex diseases such as adult-onset diabetes and breast cancer, as well as those affected by COVID-19.
✕Less likely to help
Patients with conditions not related to the focus areas of this research may not receive any benefit.
What this research studies
This research focuses on creating innovative statistical methods to integrate data from various epidemiological studies, particularly genome-wide association studies (GWAS). By combining genetic markers, lifestyle factors, and sociodemographic indicators, the research aims to build comprehensive models that can better assess disease risk. The approach addresses challenges related to incomplete data across studies and privacy concerns by utilizing summary-level information. Patients may benefit from improved understanding of risk factors for complex diseases, including diabetes and cancer.
Why it matters
Potential benefit: If successful, this research could lead to more accurate assessments of disease risk, ultimately improving prevention and treatment strategies for patients.
How similar studies have gone: Other research has shown success in using integrated data approaches in epidemiology, indicating that this methodology is promising and not entirely novel.
Where this research is happening
-
Johns Hopkins University
Baltimore, United States Active
Researchers
- Principal investigator: Chatterjee, Nilanjan — Johns Hopkins University
- Study coordinator: Chatterjee, Nilanjan
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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.