ComplexNGS2018

Complex Trait Analysis of Next Generation Sequence Data

June 18-22, 2018
Max Delbrück Center (MDC) for Molecular Medicine
Berlin, Germany

General Information

The third annual course on Complex Trait Analysis of Next Generation Sequence Data will be held at the MDC in Berlin from June 18-22, 2018. 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 (fixed effects, random effects and mixed models), 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 Mendelian traits and evaluating variant functionality.

Instructors

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

More Information

The cost of the 5 day course is 975 EUR for researchers from an academic institution, and 1,950 EUR for individuals from private (for profit) companies. This fee covers tuition, Monday evening wine and cheese party and course related expenses (handouts, etc.) but not room, board or meals. Inexpensive housing is available for course participants at the MDC and nearby hotels. The maximum number of participants is 40.

For additional information on the course please contact Suzanne Leal:

Application Deadline March 1, 2017

email: sleal@bcm.edu or suzannemleal@gmail.com Tel: +1 (713) 798-4011 Fax: +1 (713) 798-4012

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