ECCB'12 KEYNOTES:


Søren Brunak
Technical University of Denmark

 

Aaron Ciechanover
Technion - Israel Institute of Technology

 

Barry Honig

Columbia University, New York

 

Laurent Keller

University of Lausanne

 

Gene Myers
MPI of Molecular Cell Biology and Genetics, Dresden

 

Mihaela Zavolan
Biozentrum University of Basel & SIB

 

CONFERENCE CHAIRS:

Torsten Schwede (chair)

Dagmar Iber (co-chair)

 

ECCB'12 is organized by:







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Tutorial 3: GWAS

GWAS: Statistics and Bioinformatics to Analyse Genotype to Phenotype Relationships from Molecular Traits to Disease Phenotypes.
Orgnizers: Christoph Lippert, Max Planck Institute for Developmental Biology, Tübingen, Germany (from 1.6.: Microsoft Research, Los Angeles, USA.)
Oliver Stegle, Max Planck Institute for Developmental Biology, Tübingen, Germany.
URL:  http://www.mixed-models.org/eccb12-tutorial/
Date: Sunday, 9 September, 2012
Time: 9:00 - 17:00
Registration:  Congress Center Basel, Messeplatz 21
Venue: Room "Geneva 4", Hotel Ramada, Messeplatz 12
Abstract: Large-scale genotyping and phenotyping initiatives provide for exciting avenues to unravel the genotype to phenotype map across a wide range of biological systems and species. In this tutorial, we provide a hands-on guide on how to carry out GWAS and association mapping in practice, but also cover the necessary background in statistics and genetics.
First, we give a brief overview across related application domains, such as the genetic mapping of molecular traits, of disease susceptibility and of global-level traits in model systems. The main focus of the tutorial will be on methods that tackle pressing statistical and computational challenges posed, such as accounting for known and unknown confounding by population structure or environmental influences and the ever-increasing scale of genomic datasets that need to be processed. Finally, practical components of the tutorial will cover software and workflows for major analysis tasks, motivated and demonstrated in the context of real-world examples.