WORKSHOP: Applied Statistical Genetics for Population-Based Association Studies
Andrea Foulkes, University of Massachusetts
(author of Applied Statistical Genetics, in Springers UseR series)
13-14 October 2011
BBVA Foundation, Madrid, Spain
Recent technological advancements, coupled with extensive genetic sequencing efforts, have led to an explosion in the availability of molecular and cellular level data for the study of complex diseases. The on-going success of large-scale genome-wide association studies (GWAS), as well as improved candidate-gene studies, has generated considerable interest among biomedical researchers in learning appropriate, well-vetted analytic approaches. At the same time, novel statistical methods have been developed to address the unique analytic challenges that arise in these settings.
This workshop introduces the theory and practical application of these new methodologies, while introducing fundamental concepts and analysis tools for population-based investigations of genotype-trait associations.
We begin by providing a general overview of genetic association studies and related genetic data concepts. Topics covered include types of investigations, linkage disequilbrium and Hardy-Weinberg equilibrium, as well as the role of population substructure on associated measures and tests. Further, three analytical challenges common to these settings are described, namely multiplicity, ambiguity in phase and high-dimensionality. Select analytic approaches are presented that specifically address these challenges, including multiple testing adjustments, haplotype reconstruction methods and tree-based approaches for discovery of gene-gene and gene-environment interactions.
This course is intended for medical and public health investigators with elementary knowledge of statistical concepts at the level of a first course in statistics or biostatistics. Supplemental materials will be provided for the more advanced student.
- Andrea Foulkes, Associate Professor of Biostatistics, University of Massachusetts, USA
- Michael Greenacre, Professor of Statistics, Universitat Pompeu Fabra, Barcelona, Spain (for afternoon R practicals)
Course fees: 125 euros / university staff and students: 75 euros (includes course material, refreshments and lunches)
Registration: October 3 to 7, 2011. To register, please contact: [log in to unmask]
For more information go to www.multivariatestatistics.org/WorkshopMadrid2011.pdf
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