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Abstract Details
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Activity Number:
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104
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Type:
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Invited
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Date/Time:
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Monday, August 1, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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WNAR
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| Abstract - #300276 |
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Title:
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Analysis of Genome-Wide Association Studies: Methods from the Charge Consortium of Cohort Studies
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Author(s):
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Kenneth M. Rice*+
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Companies:
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University of Washington
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Address:
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Department of Biostatistics, Seattle, WA, 98195-7232, USA
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Keywords:
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Genome-wide studies ;
GxE interaction ;
stratification
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Abstract:
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Genome-wide association studies of gene-environment interaction (GxE GWAS) are becoming popular. As with main eff ects GWAS, quantile-quantile plots (QQ-plots) and Genomic Control are being used to assess and correct for population substructure. However, in GxE work QQ-plots approaches can be seriously misleading, as we illustrate; they may give strong indications of substructure when absolutely none is present. In this talk, we use simulation and theory to show how and why spurious QQ-plot inflation occurs in GxE GWAS, and how this differs from main-effects analyses. We also explain how simple adjustments to standard regression-based methods used in GxE GWAS can alleviate this problem, and describe circumstances under which these 'fixes' will be most practically important. Examples will be drawn from several CHARGE analyses of GxE interactions.
This is joint work with Arend Voorman, Thomas Lumley and Barbara McKnight.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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