This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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418
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract - #309432 |
Title:
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Genetic Matching for Robust and Powerful Detection of Gene-Gene Interactions in Case-Control Studies
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Author(s):
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Samsiddhi Bhattacharjee*+ and Nilanjan Chatterjee
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Companies:
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National Cancer Institute and National Cancer Institute
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Address:
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6120 Executive Boulevard, EPS 8047, Rockville, MD, 20852, United States
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Keywords:
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Gene-Gene Interaction ;
Epistasis ;
Population Stratification ;
Genetic Matching ;
Conditional Logistic ;
Case-Control
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Abstract:
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The case-only approach for detecting interactions makes a crucial assumption of gene-gene independence for physically distant genes. While this strategy provides considerable power improvement, it is prone to significant bias when the independence assumption is violated. We propose a robust yet powerful approach that uses fine-matching of individuals based on their genetic ancestry, as inferred from principal components of genome-wide null markers. Matched pairs are analyzed using extensions of conditional logistic regression that derive additional power from a weak gene-gene independence assumption. We compare our methods to existing approaches analytically and using simulations. We also discuss possible statistical and computational strategies to further improve power of matching-based methods.
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