Statistical Methods for Genetic Epidemiology

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Statistical Methods for Genetic Epidemiology

 07 - 11 May 2007

ICMS

  • Max Baur, University of Bonn
  • Nuala Sheehan, University of Leicester
  • Elizabeth A Thompson, University of Washington

About:

The aim of this workshop was to gather together a sufficiently expert group with interests ranging across diverse areas of genetic epidemiological application in order to focus on the computational and methodological issues that are common to family studies, genetic association studies and the analyses of complex traits. One objective was to assess existing methods of analysis of large and complex datasets, to consider appropriate adaptation of these methods and to investigate the potential for new methods which address common problematic features of all these datasets. Another was to actively encourage young researchers into this field by providing the opportunity to become acquainted with the main research issues in the area and to make vital contacts with the leading people and their groups in an informal small group setting.

Speakers

David Clayton, University of Cambridge Genome-Wide Association Studies; Experiences of the WTCCC
Duncan Thomas, University of Southern California Complex Biological Pathways
Francoise Clerget Darpoux, INSERM & Paris-Sud University Multifactorial Diseases: A Gap Between Association Information and the Understanding of the Pathogenic Process
Laura Almasy, Southwest Foundation for Biomedical Research Quantitative Risk Factors for Identifying Genes in Complex Diseases
Elizabeth A Thompson, University of Washington Assessing the Significance of Linkage Signals
David Balding, Imperial College London Population Structure and Genetic Associations
Peter Holmans, University of Wales College of Medicine Use of Covariates in Model-Free Linkage and Association
Sarah Lewis, University of Bristol Some Practical Examples Illustrating the Use of Mendelian Randomisation
Tim Bishop, Cancer Research UK Challenges to Understanding Disease Aetiology with Family Studies
Wally Gilks, University of Leeds DNA is not a Straight Line
Dawn Teare, University of Sheffield Study of a Candidate Copy Number Polymorphism in Asthma Families
Juni Palmgren, Karolinska Institute The GeneStat Web Portal
Vanessa Didelez, University College London Causal Inference for Genetic Epidemiology Using Mendelian Randomisation
Alun Thomas, University of Utah Towards Linkage Analysis with Markers in Linkage Disequilibrium by Graphical Modelling
John Whittaker, London School of Hygiene and Tropical Medicine Baysian Meta-Analysis of Genetic Association Studies
Heather Cordell, Newcastle University Testing and Estimation of Genotype and Haplotype Effects in Family-Based Analysis of Quantitative Traits with Missing Genotype Data
Simon Heath, National Genotyping Centre Detection/Reconstruction of Family Relationships Using Genotype Data from Whole Genome Arrays
Elja Arjas, University of Helsinki Estimating Genealogies from Marker Data: a Bayesian Approach
Cornelia Van Duijn, Erasmus University Medical Centre Splitting Complex Pedigrees for Linkage Analysis
Thore Egeland, Ullevål University Hospital Adjusting for Relatedness Among Founders in Linkage Analysis
Konstantin Strauch, Philipps University Marburg A Close View of the Possible Triangle