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Genetic Association Course with Application to Sequence and Genotype Data

June 22-26, 2015, Max Delbrück Center (MDC) for Molecular Medicine, Berlin, Germany

General Information

The goal of the course is to teach the 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.) and with pencil and paper. The emphasis of this course is 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; tagSNPselection; 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).

Link to Berlin hotel tax exemption form
Direction to the MDC Campus
0Direction to the classroom


MDC - communication center (Building C83 on the Campus Map)
Room Axion 2 

The building is red and stands across the street from the campus bus stop and the blue bear.

MDC C.jpg

Course Instructors

The organizers and instructors for the course are Suzanne Leal (Baylor College of Medicine) and Michael Nothnagel (University of Cologne).

Commands for Computer Exercises

Course Slides

Data Sets Used During the Course

Software Links