Multi-Omic integration for improving the Risk Estimation of type 2 diabetes

This project aims to improve our understanding of type 2 diabetes (T2D) through integrating different layers of biological information – microbiome and blood metabolome. Although T2D has already been extensively studied, this project would be the first one to assess the value of integrating such datasets for T2D risk prediction in large prospective cohorts. The research results provide a better understanding of the T2D associated information each set of biological variables contains, to what extent this information overlaps, and how to make the best use of this information.