School of Public Health
Twin Cities
This group seeks to detect, localize, and characterize genes, metabolites, and proteins involved in the development of cardiovascular disease (CVD) and its associated risk factors (e.g., diabetes, high blood pressure, elevated blood cholesterol, etc.). Technological advances in molecular biology and genetics have provided new opportunities to explore the genetic and molecular architecture of complex diseases and traits such as CVD. However, genetic epidemiological research on such traits requires data on tens of thousands of individuals, millions of genetic markers, and complex statistical models that are computationally demanding. The power of the supercomputer allows us to construct models with higher order gene-gene or gene-environment interactions that cannot be practically evaluated using regular computing resources and to conduct simulation experiments.