HGEN 8330 Advanced Topics in Statistical Genetics
This course focuses on advanced concepts and methods for identifying genetic variation underlying heritable traits, on the design of human gene-mapping studies, and on interpreting statistical and computational results. Potential topics include variance component modeling, multiple test correction, simulation-based approaches, Bayesian analysis, multi-trait analysis, multi-variant analysis, integrative "omics", meta-analysis, phasing, imputation of missing genotypes, Mendelian randomization, and methods for the analysis of electronic health record databases and other data sources. The course will select topics based on current research foci and problems in gene discovery and interpretation. May be repeated when the topic varies.
Offered
As scheduled