Complex Trait Analysis of Next Generation Sequence Data

March 6-10, 2017

Max Delbrück Center (MDC) for Molecular Medicine Berlin, Germany

The Complex Trait Analysis of Next Generation Sequence Data course will be held at the MDC in Berlin from March 6-10, 2017. The goal of the course is to teach the course participants both the theory and application of methods to analyze next generation sequence (NGS) data for human complex traits. Attendees will learn how to design studies, call variants from NGS data, analysis of population-, trio- and family-based sequence data and evaluation of variant functionality. Analyses will include performing complex trait rare variant association analysis for population and trio data. Exercises will be carried out using a variety of computer programs (GATK, IGV, Polyphen2, PSEQ, SEQPower, and Variant Association Tools (VAT)). TOPICS will be include: sequence alignment, calling variants from NGS data, quality control of NGS data, association testing framework for quantitative and qualitative traits, rare variant association methods, estimating power and sample size for rare variant association studies, imputation of rare variants and their analysis, detecting putative causal variants for complex traits and evaluating variant functionality.

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

Application Deadline January 5, 2017

For additional information, the schedule and application form - please visit the course website:  https://statgen.research.bcm.edu/index.php/ComplexNGS2017