# Improving Risk Prediction For Type Ii Diabetes Mellitus (T2d) Using Behavioral, Metabolomic And Microbial Biomarkers

> **NIH NIH U54** · YALE UNIVERSITY · 2020 · $436,431

## Abstract

Racial/ethnic minorities are disproportionately affected by type 2 diabetes and its associated complications.
Research shows that racial/ethnic minorities present with more advance disease, are less likely to achieve
glycemic control, and are more likely to experience adverse outcomes such as amputation and nephropathy.
Findings from prevention and intervention studies demonstrate the effectiveness of early intervention methods,
including lifestyle modifications and medication, in delaying or preventing at-risk individuals from progressing to
overt disease. The early identification of at-risk individuals is therefore essential to reduce diabetes burden in
racial/ethnic and other populations. Few methods currently exist for the early identification of individuals at
increased risk for the development of diabetes. The proposed study aims to identify novel methods of
identification through the integration of genetic and behavioral markers of diabetes risk in the Eastern
Caribbean Health Outcomes Research Network Cohort, an existing community-dwelling cohort in Region II.
The development and testing of novel identification methods, using integrated data, advances efforts to apply
precision medicine to improve population health and reduce racial/ethnic disparities.

## Key facts

- **NIH application ID:** 9972762
- **Project number:** 5U54MD010711-05
- **Recipient organization:** YALE UNIVERSITY
- **Principal Investigator:** TORE EID
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $436,431
- **Award type:** 5
- **Project period:** — → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9972762

## Citation

> US National Institutes of Health, RePORTER application 9972762, Improving Risk Prediction For Type Ii Diabetes Mellitus (T2d) Using Behavioral, Metabolomic And Microbial Biomarkers (5U54MD010711-05). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9972762. Licensed CC0.

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