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

NIH RePORTER · NIH · U54 · $436,431 · view on reporter.nih.gov ↗

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
YALE UNIVERSITY
Principal Investigator
TORE EID
Activity code
U54
Funding institute
NIH
Fiscal year
2020
Award amount
$436,431
Award type
5
Project period
— → 2023-08-31