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Activity Number:
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350
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 6, 2008 : 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 - #300983 |
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Title:
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A Constrained Regression Approach for Studying Haplotype-Specific Effects
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Author(s):
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Jung-Ying Tzeng*+ and Howard Bondell
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Companies:
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North Carolina State University and North Carolina State University
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Address:
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Campus Box 7566, Dept of Statistics, Raleigh, NC, 27513,
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Keywords:
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haplotype analysis ; constrained regression ; genetic association study
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Abstract:
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Understanding the effects of specific haplotypes can help to identify etiological variants and infer biological explanations. Ideally, a thorough haplotype-specific analysis should call for pairwise comparisons among all haplotypes, similar to the post-hoc analysis of ANOVA. However, such comparisons may suffer from power loss due to multiple testing adjustment, and often yields contradictory conclusions on which haplotypes share the same level of effects. To overcome this concern, we propose a constrained regression approach that performs the ANOVA-type of post-hoc analysis for haplotype-specific analysis. The method uses constraints that encourage haplotypes with similar effect sizes to be estimated with exact equality, and transfers the posthoc analysis from a multiple-comparison procedure to a variable-selection framework.
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