Abstract Details
Activity Number:
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683
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Type:
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Contributed
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Date/Time:
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Thursday, August 8, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract - #309629 |
Title:
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Gene-Association Studies with Fewer Model Specifications: Application to Study of HIV/AIDS Pharmacogenomics
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Author(s):
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Valentine Wanga*+
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Companies:
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Vanderbilt University, Department of Biostatistics
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Keywords:
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SNPs ;
association ;
monotonic ;
pharmacogenomics ;
antiretroviral
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Abstract:
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Most genotype analyses require modeling the association between SNPs and the outcome of interest as additive, dominant, or recessive. In general, this relationship is not known. A method that only assumes a monotonic relationship between SNPs and the outcome of interest may be more robust and powerful than standard approaches. We explore the use of such a method using pharmacogenomics data from a clinical trial that randomized 1858 HIV-infected patients to one of four antiretroviral regimen combinations (tenofovir+efavirenz, tenofovir+atazanavir, abacavir+efaverinz, and abacavir+atazanavir). We are specifically interested in detecting SNPs that are associated with tenofovir clearance and kidney toxicities. We apply the new method and additive, dominant, and recessive models, and compare and contrast findings.
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Authors who are presenting talks have a * after their name.
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