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Abstract Details
Activity Number:
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441
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Type:
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Invited
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Date/Time:
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Wednesday, August 3, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract - #300463 |
Title:
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Efficient Two-Step Testing of Gene-Environment and Gene-Gene Interactions in Genome-Wide Association Studies
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Author(s):
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Cassandra Elizabeth Murcray*+ and Duncan Thomas and Juan Pablo Lewinger and W. James Gauderman
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Companies:
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University of Southern California and University of Southern California and University of Southern California and University of Southern California
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Address:
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1540 Alcazar Street , Los Angeles, CA, 90089,
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Keywords:
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GWAS ;
gene-gene interaction ;
gene-environment interaction ;
case-control ;
case-parent trios
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Abstract:
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Recently developed methods to detect interactions in GWA studies have shown increased power relative to traditional approaches. Two-step analyses have been proposed to prioritize the large number of SNPs tested to highlight those likely to be involved in GxE/GxG interactions. Kooperberg and LeBlanc (2008) suggested screening on genetic marginal effects in a search for GxG interactions. Alternatively, Murcray et al (2009) suggested screening SNPs by testing the G-E association induced by an interaction in the combined case-control sample. Gauderman et al (2010) proposed a screening step based on the association between parental genotypes and case exposure in GWA studies in case-parent trios. In these methods, SNPs that pass the respective screening step at a liberal significance threshold are followed up with a formal test of interaction in the second step. For case-control data, we show that the Murcray et al approach is often the most efficient method, but that a hybrid method that combines the Murcray et al and Kooperberg et al methods by allocating a proportion of the experiment-wise significance level to each test is a powerful and robust method for nearly any underlying model.
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