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Identifying Genes for Mendelian Traits using Next Generation Sequence Data

Sept. 28-Oct. 2, 2015
Max Delbrück Center (MDC) for Molecular Medicine
Berlin, Germany

The Identifying Genes for Mendelian Traits using Next Generation Sequence Data Course will be held at the Max Delbrück Center (MDC) for Moelecular Medicine in Berlin from Sept. 28-Oct. 2, 2015. The goal of the course is to teach the course participants both theory and application of methods to identify genes for Mendelian diseases/traits using filtering methods, homozygosity mapping and linkage analysis.

Emphasis in this course is on strategies for gene mapping and variant/gene identification for Mendelian Traits. It will include theory as well as practical exercises. Exercises will be carried out using a variety of computer programs (e.g. Gemini, GeneHunter, GERP, Homozygosity Mapper, Integrative Genome Viewer, MERLIN, Polyphen, SEQLinkage, Variant Mendelian Tools,) and with pencil and paper. TOPICS include: study design; linkage analysis and homozygosity mapping using genotype array and next generation sequence data (exome and whole genome), haplotype reconstruction, evaluating pedigree informativeness and power to detect linkage, identification of causal variants using filter approaches, variant annotation, evaluation of deleterious effects of variants and their functionality. The organizers and instructors for the course are Suzanne Leal (Baylor College of Medicine) and Michael Nothnagel (University of Cologne).

For additional information, schedule and application form please visit the course website: https://www.bcm.edu/research/labs/center-for-statistical-genetics/courses/ngs-mendelian-course-sept-oct-2015

Application Deadline July 15th, 2015

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Suzanne M. Leal, Ph.D.
Professor
Director, Center for Statistical Genetics
Department of Molecular and Human Genetics
Baylor College of Medicine
One Baylor Plaza, 700D
Houston, TX 77030
Tel 1 713 798-4011
Fax 1 713 798-4012
e-mail: [log in to unmask]
           [log in to unmask]
URL: www.bcm.edu/genetics/leal
Administrative Assistant, Francoise Caro
Tel 1 713 798 8212
e-mail:  [log in to unmask]




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