BTRY 4830 - Quantitative Genomics and Genetics

Spring. 4 credits. S-U or letter grade option.

Prerequisites: BTRY 3080 and introductory statistics or equivalent.

Staff.

A rigorous treatment of analysis techniques used to understand complex genetic systems. This course covers both the fundamentals and advances in statistical methodology used to analyze disease and agriculturally relevant and evolutionarily important phenotypes. Topics include mapping quantitative trait loci (QTLs), application of microarray and related genomic data to gene mapping, and evolutionary quantitative genetics. Analysis techniques include association mapping, interval mapping, and analysis of pedigrees for both single and multiple QTL models. Application of classical inference and Bayesian analysis approaches is covered and there is an emphasis on computational methods. Meets concurrently with BTRY 6830.