Understanding different types of adult-onset diabetes using health records
Official title: Improving disease subtyping and physiological characterization of adult-onset diabetes in electronic health records
Funded at Vanderbilt University Medical Center · NIH-10983694 · Data updated 2026-11-12
This study is looking to better understand different types of adult-onset diabetes by examining health records from a variety of people, especially focusing on African Americans, to help create more personalized treatment plans for everyone.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Vanderbilt University Medical Center NIH-funded |
| Lab location | 1 site (Nashville, United States) |
| Project start | September 1, 2024 |
| Project end | August 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $596,339 |
| NIH project number | 1U01DK140952-01 |
| Project ID | NIH-10983694 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include adults diagnosed with diabetes, particularly those from diverse racial and ethnic backgrounds, including African Americans.
✕Less likely to help
Patients with type 1 diabetes or those who do not have access to electronic health records may not benefit from this research.
What this research studies
This research aims to improve the classification of adult-onset diabetes by analyzing electronic health records (EHRs) from diverse populations. It will explore how various clinical features and treatment responses can help identify different diabetes subtypes, particularly focusing on African Americans. By integrating multi-omics data, the research seeks to uncover the physiological factors that contribute to these subtypes, ultimately enhancing personalized treatment approaches for patients. The study will utilize large-scale data to assess individual risks and responses to diabetes management over time.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diabetes subtyping and personalized treatment strategies, improving health outcomes for patients.
How similar studies have gone: Other research has shown promise in using electronic health records and multi-omics approaches to improve disease classification, indicating that this methodology has potential for success.
Where this research is happening
-
Vanderbilt University Medical Center
Nashville, United States Active
Researchers
- Principal investigator: Ng, Maggie — Vanderbilt University Medical Center
- Study coordinator: Ng, Maggie
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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.