Clinical genomics, risk prediction

Our group has substantially contributed to the discovery of numerous genomic variants, which increase the risk of coronary artery disease. Based on these variants, we were able to evaluate the prospective value of a genetic risk score in a large sample set. Using novel bioinformatics techniques, we identified novel networks and pathways influencing the pathophysiology of coronary artery disease and myocardial infarction. The goal of the project “Clinical genomics, risk prediction“ is to explore the interaction of known and yet to be identified coronary artery disease risk loci as well as the interaction of coronary artery disease risk loci with environmental factors to ultimately improve risk prediction.