prediction of diabetes progression

Aim project: To identify omics profiles improving prediction of diabetes and diabetes progression


We have measured multiple omics profiles, including GWAS, metabolomics, proteomics and transcriptomics in (subsets) of our cohorts. These profiles are used to predict who is at increased risk to develop type 2 diabetes but especially more and more to predict who will or will not show rapid progression of type 2 diabetes. We perform our own independent research but also collaborate in various national and international consortia such as MetGen, BBMRI-NL, IMI-Rhapsody and IMI-DIRECT.




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