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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 - #305360
Title: Genome-Wide Disease Gene Mapping by Association Analysis
Author(s): Jurg Ott*+
Companies: The Rockefeller University
Address: Laboratory of Statistical Genetics, New York, NY, 10021-6399,
Keywords: gene mapping ; linkage disequilibrium ; genetic association
Abstract:

After discussing the rationale for genetic association analysis, I will outline the steps currently taken for genome-wide association analysis. Problem areas to be discussed are multiple testing, false discovery rate, probability of a real finding when a result is statistically significant, different forms of heterogeneity, and multi-locus approaches. I will mention a recent success story (age-related macular degeneration) and conclude with plans for a new project in Beijing.

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Revised April, 2006