Genetic Association Course With Application to the Analysis of Sequence and Genotype Data

June 26-30, 2017
Max Delbrück Center (MDC) for Molecular Medicine
Berlin, Germany

The eight Annual Berlin Genetic Association Course will be held at the MDC in Berlin from June 26-30, 2017. 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 genotype data.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.). Topics covered 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, 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).For additional information, a course schedule and application form please visit the course website.  https://statgen.research.bcm.edu/index.php/Genassoc2017Application Deadline May 1, 2017