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October Conference to Consider Genome-Wide Association Studies: Design and Analysis

  Michael Bracken and Hongyu Zhao.
  Michael B. Bracken, Ph.D., M.P.H., the Susan Dwight Bliss Professor of Epidemiology (left) and Hongyu Zhao, Ph.D., the Ira V. Hiscock Associate Professor of Epidemiology, chair an international colloquium on genome-wide association studies October 26-27.

The Yale Schools of Public Health and Medicine will evaluate the latest research and current thinking on Genome-Wide Association (GWA) Studies at an international conference on October 26 & 27 at the Omni-New Haven Hotel at Yale.

Genome-wide association studies are increasingly being utilized but with little consensus on optimal research design and analysis strategies. These studies include large arrays of candidate genes as well as hypothesis-free strategies involving several hundred thousand polymorphisms. Critical and sometimes controversial issues in designing and analyzing GWA studies will be examined. GWA studies represent a paradigm shift in how science is conducted. Instead of identifying genes that cause disease from animal, in vitro and smaller studies and then validating them by interrogating very large data sets, the hypothesis-free strategy first identifies gene-disease associations from large data sets using very large scale data processing and analysis and then tests their plausibility in animal, in-vitro or clinical studies. Internationally, Yale has been at the forefront of these approaches with work that has identified new major genes that are linked with adult macular degeneration.

Michael B. Bracken, Ph.D., M.P.H., the Susan Dwight Bliss Professor of Epidemiology and Professor of Neurology and Obstetrics & Gynecology, Hongyu Zhao, Ph.D., the Ira V. Hiscock Associate Professor of Epidemiology and Public Health and Genetics, and a university-wide planning committee have designed the conference program which also explores novel technological developments that make genome-wide studies possible and population genetics that must be considered for proper interpretation. These issues will be discussed in the context of ongoing genome-wide association studies. Participants will learn the latest methods for designing and analyzing genome-wide studies for associating genetic polymorphisms with risk of complex disease.

This educational curriculum will be presented by 16 national and internationally renowned scientists who will provide biomedical researchers with sessions on Population Genetics, Bioinformatics, Genomic Epidemiology, Statistical Analyses and Forward-Looking Genetics.

For additional program and registration information, please visit http://cme.yale.edu/conferences/conference_index.asp?ID=52.

Registration Fees
$300 before October 1, 2006
($400 after October 1, 2006)

Students*, Residents*, Fellows* - $250 before October 1, 2006
($300 after October 1, 2006)

Registration Fee includes two days of conference materials, continental breakfast, lunch, and refreshment breaks.

Accredited by Yale CME for 11 Category 1 credits

Conference Poster

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Last modified: October 6, 2006 [LMc]