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The course aims to provide students with the relevant background knowledge and quantitative skills for conducting genetic data analysis to evaluate the genetic effects of complex traits. The course will focus on statistical methodologies and analytical strategies for population-based association studies with genotype and sequencing data collected from whole genome and exome. The specific topics include genetic variants; genetic identity coefficients and its applications; heritability; Hardy-Weinberg disequilibrium; recombination; linkage disequilibrium and association mapping; genome-wide association studies (GWAS); population substructures; multiple testing; single-variant and multi-variant association methods; next-generation sequencing (NGS) data and rare variant analysis; copy number variant analysis; analysis using summary statistics.

Prerequisite: ³§°ÕÌý511 or equivalent

Typically offered in Fall only

This course is offered alternate years