Changes

Berlin, Germany

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The emphasis of this course is on strategies for the 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, PSEQ, R, SAIGE, UNPHASED, and Variant Association Tools (VAT), 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; controlling population admixture (genomic control, multi-dimensional scaling, principal components analysis, etc); generalized linear mixed models and linear mixed models, polygenic risk scores; imputing and analysis of imputed 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).

Application Deadline April 15, 2020