The tenth annual Berlin Genetic Association Course will be held at the in Berlin from September 26-30, 2022. The goal of the course is to teach course participants both theory and application of methods for population-based association analysis, with a concentration on the analysis of exome and whole-genome sequence and array genotype data.
The emphasis of this course is on strategies for the genetic mapping of complex human traits, through the analysis of population-based whole genome and exome sequence data and genotype array data. The course will include theory as well as practical exercises. TOPICS include: Association analysis of qualitative and quantitative traits; single marker and rare variant aggregate 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, multidimensional 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 environment interactions; power and sample size estimation for both genotype and rare variant data; permutation (estimating empirical p-values); and false discovery rate (FDR). Exercises will be carried out using a variety of computer programs, FAST-GWA, PLINK, PSEQ, R, REGENIE, UNPHASED, and Variant Association Tools (VAT), etc..
The instructors for the course are Suzanne Leal (Columbia University) and Michael Nothnagel (University of Cologne).
For additional information, course schedule, and application please visit the course website