In this project, I aim to take our genetic studies of cardiometabolic traits in the Greenlandic population to a new level. Our studies have already led to some extraordinarily useful findings, e.g. 2 mutations that 1) explain a large fraction of all diabetes cases in Greenland, 2) can markedly attenuate underdiagnosis of diabetes in Inuit and 3) have potential treatments. But we have also found some very promising genomic loci that are associated with cardiometabolic traits, where we are yet to find the causal mutation and/or the underlying mechanism. Also, so far, our findings have been Inuit-specific and thus not directly useful for non-Inuit. Motivated by this, I plan to generate extensive additional data and to use these to find new promising genetic mutations in the Greenlandic population, to further investigate those and the mentioned promising mutations/regions and to develop a new computational method that can make our findings from Greenland useful not only to the Greenlandic population but also to other populations.