The emphasis in this course is on strategies for genetic mapping of complex human traits. It will include theory as well as practical exercises. The exercises will be carried out using a variety of computer programs (PLINK, GenABEL, MACH, UNPHASED, EIGENSTRAT, Variant Association Tools (VAT), SEQPower and R, etc.) and with pencil and paper. The emphasis of this course is on the analysis of population-based whole genome and exome data including genotype and sequence data. TOPICS include: Association analysis of qualitative and quantitative traits; single marker and haplotype analysis; analysis of whole-genome association study data; complex trait rare variant association analysis of next-generation sequence data; data quality control for genotype and next-generation sequence data; haplotype reconstruction; tagSNP selection; controlling population admixture (genomic control, principal components analysis, etc); imputing genotype data from sequence and genotype data; detecting gene x gene and gene x environmental interactions; power and sample size estimation for both genotype and rare variant data; permutation (estimating empirical p-values); and false discovery rate (FDR). The organizers and instructors for the course are Suzanne Leal (Baylor College of Medicine) and Michael Nothnagel (University of Cologne).
Applications for the course are currently being accepted.
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