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Activity Number:
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419
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #308830 |
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Title:
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Statistical Performance of Cladistic Strategies for Haplotype Grouping in Pharmacogenetics
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Author(s):
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Jared Lunceford*+ and Nancy Liu
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Companies:
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Merck & Co., Inc. and Merck & Co., Inc.
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Address:
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4087 N Foothill Dr, Provo, UT, 84604,
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Keywords:
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pharmacogenetics ; haplotype grouping ; cladistic analysis ; randomized trials
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Abstract:
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Haplotypes comprised of multiple single nucleotide polymorphisms (SNPs) are popular covariates for capturing the key genetic variation present over a region of interest in the DNA sequence. The multiallelic nature of haplotypes increases the complexity of the statistical models intended to discover association with outcomes of interest. Cladistic methods for haplotype grouping cluster haplotypes according to estimates of their genealogical closeness and have been proposed recently as approaches for reducing model complexity and increasing power. Two such approaches are compared in the context of a case study: methods based on a haplotype nesting algorithm described by Templeton (1987) and hierarchical clustering of haplotypes as described by Durrant et al. (2004).
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