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Abstract Details
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Activity Number:
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142
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Type:
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Invited
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Date/Time:
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Monday, August 1, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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ENAR
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| Abstract - #300499 |
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Title:
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Efficient Study Designs for Assessing Gene-Gene and Gene-Environment Interactions
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Author(s):
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Jinbo Chen*+
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Companies:
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University of Pennsylvania
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Address:
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Department of Biostatistics and Epidemiology, School of Medicine, Philadelphia, PA, 19104, USA
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Keywords:
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Abstract:
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Using the two-phase design framework, we consider efficient study designs for assessing gene-environment interactions that allow investigators to fully exploit available genetic and environmental risk factor information. With a binary exposure and case-control study design, we derive close-form formulas for the odds ratio estimates for genetic and environmental effects under a multiplicative model for the genetic effect. We assess the power for jointly testing genetic effects and gene-environmental interactions when gene-environment independence and HWE are exploited to increase the power for assessing gene-environment interactions, particularly when external data on genotype frequencies and environmental exposure prevalence are incorporated.
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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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