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This is the preliminary program for the 2006 Joint Statistical Meetings in Seattle, Washington.

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Activity Number: 182
Type: Invited
Date/Time: Monday, August 7, 2006 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #304892
Title: Identifying Interactions in Genome-Wide Association Studies
Author(s): Charles Kooperberg*+
Companies: Fred Hutchinson Cancer Research Center
Address: 1100 Fairview Ave., N., M3-A410, Seattle, WA, 98109-1024,
Keywords: SNPS ; epistasis ; haplotypes ; gene-environment
Abstract:

Over the next few years, it will become increasingly common to conduct genome-wide association studies involving hundreds to thousands of Single Nucleotide Polymorphisms (SNPs) because of breakthroughs in high-throughput technologies. For many of these studies, interest will not be limited to just the characterization of individual SNPs or haplotypes that are associated with a disease outcome, but will include the identification of interactions between SNPs within a gene (as in haplotype effect), between genes (epistasis), or between gene and environment (e.g., drugs, smoking, and alcohol consumption). We will discuss situations, including study designs, where it is possible to identify particular types of interactions.


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Revised April, 2006