Statistics

ST721 - Genetic Data Analysis

• Prerequisites: none
• Term & Frequency: Spring semester every other year
• Student Audience: majority is from statistics, genetics and bioinformatics
• Credit: 3 credits
• Recent Texts: none for JYT; before the class used “Weir BS (1996) Genetic data analysis II. Sinauer Associates, Sunderland, MA.”
• Recent Instructors: Jung-Ying Tzeng, Dahlia Nielsen
• Background and Goals: the course is designed to equip students with the fundamental knowledge and tools in statistics and bioinformatics for conducting genetic data analysis
• Content: introduction of genetic markers, individual identification (genetic identity coefficients and its applications), Hardy-Weinberg disequilibrium, allele frequency estimation, recombination, genetic map function, linkage analysis, linkage disequilibrium; haploview, association analysis: family-based design vs. population-based design, single- vs. multi-marker analysis; multiple testing; quality control; plink; genome browser; population substructures; association analysis with next-generation sequencing data
• Alternatives: None
• Subsequent Courses: None

SP 2013 Sections: