Cornell University
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.
Prerequisite: BTRY 3080 and introductory statistics or equivalent.
Semesters Taught: Spring 2025
Graduate seminar on methods in statistical genetics, with an emphasis on recent developments for admixed populations. Students will read and discuss recent literature in this area and, through group discussions, develop strategies for applying methods within their own research domains.
Prerequisite: This course has no prerequisites
Semesters Taught: Fall 2024
Course Information: Syllabus