Statistics 344SG - Applied Statistical Genetics

In this course students will learn about statistical methods for analyzing data arising from genetic association studies. Topics covered include: (1) basic genetic concepts and tests (including linkage disequilibrium, Hardy Weinberg equilibrium and population substructure); (2) data processing and analysis for Genome-Wide Association Studies (including fitting generalized linear models and applying parallel computing techniques); and (3) high-dimensional data analysis tools for 'big data' in biomedicine (including topics in machine learning). The course will use R for illustration and applications.

Prereq: Take Statistics 340.