Precision Health Approaches to Optimize Type 2 Diabetes Prevention

Type 2 diabetes has complex etiology that varies between individuals and groups and results from interactions between genetic and behavioral factors. The overall goals of our research are to identify mechanisms underlying inter-individual variability in the etiology and responses to treatment in individuals with type 2 diabetes and to identify novel biomarkers to optimize individual risk reduction strategies. Targets discovered include microRNAs with established roles as mediators of insulin, glucose, and lipoprotein metabolism, inflammation, and novel hits. Ongoing studies are integrating transcriptomic datasets with wearable sensor data to characterize both biological and behavioral factors related to risk for type 2 diabetes.