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Activity Number:
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210
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Type:
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Invited
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Date/Time:
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Tuesday, August 5, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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International Indian Statistical Association
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| Abstract - #300248 |
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Title:
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Powerful Discovery of Genetic Associations in the Presence of Gene-Gene and Gene-Environment Interactions
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Author(s):
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Nilanjan Chatterjee*+ and Julia Ciampa and Idan Menashe and Sheng Luo
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Companies:
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National Cancer Institute and National Cancer Institute and National Cancer Institute and Johns Hopkins University
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Address:
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6120 Executive Blvd, Rockville, MD, 20852,
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Keywords:
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case-control study ; genome-wide scan ; score-test ; pathway ; multi-locus test
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Abstract:
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The completion of the Human Genome Project and rapid advancement of genotyping technologies now hold great promise for discovering the inherited causes of complex diseases by studying genetic variations across candidate genes, biochemical pathways and the whole genome. This talk will examine efficient strategies for "conditional search" for disease susceptibility loci using omnibus test statistics that can simultaneously account for genetic main effects and gene-gene/gene-environment interactions. The venerable and parsimonious Tukey's "one degree-of-freedom" model for interaction will be used in this context to develop highly powerful but simple score test of genetic association that can be implemented using standard software. Applications of the methods for the discovery of individual susceptibility loci as well as of global pathway effect will be demonstrated using real studies.
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