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Activity Number:
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537
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #309575 |
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Title:
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Subgroup Weighted Association Testing
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Author(s):
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Michael LeBlanc*+
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Companies:
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Fred Hutchinson Cancer Research Center
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Address:
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1100 Fairview Ave N, Seattle, WA, 98109,
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Keywords:
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SNP ; tree-based regression ; assocation studies ; subgroups ; logic ; testing
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Abstract:
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We investigate a class of test statistics for large-scale association studies based on weighting subgroup information. Given many analyses involve testing univariate or marginal SNP associations with subject outcome, more complex relationships such as multiple gene combinations or gene-environment (or gene-treatment) interactions could reduce the power to detect the marginal associations. We propose a computationally simple panel of weighted marginal tests that can exploit such subgroup associations if they exist. The strategy modestly increases the search by focusing (or enriching) the association tests within subgroups. Extensions of the method to allow multiple environmental or clinical factors are considered and connections are made to tree-based models and logic regression models of Ruczinski, Kooperberg, and LeBlanc (2003).
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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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