Computational and Applied Genetic Epidemiology

5 credits

Advanced topics in genetic epidemiology for undergraduate students, focusing on hands-on introduction to computational analysis of population genetics and individual health data using R programs. Students will investigate how genes and environment interact to cause disease and health-states and to inform public health interventions. Recommended: PHG 301 or prior background in basic genetics and statistics. Offered: jointly with BIOST 401/EPI 410; Sp.