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