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Activity Number:
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241
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, July 31, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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WNAR
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| Abstract - #310202 |
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Title:
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Power and Sample Size in Genetic Association Studies in Presence of Genotyping Error
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Author(s):
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Wonkuk Kim*+ and Qing Wang and Derek Gordon and Stephen J. Finch
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Companies:
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Stony Brook University and Stony Brook University and Rutgers University and Stony Brook University
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Address:
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Dept of Applied Math and Statistics, Stony Brook, NY, 11794-3600,
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Keywords:
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Likelihood Ratio Test ; Mixture Model ; Case/Contol Study ; Noncentrality Parameter ; SNP
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Abstract:
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The test of whether the distribution of genotypes of a single nucleotide polymorphism (SNP) in a control population is the same as the distribution in an affected population can be made out using the 2x3 test of independence. When the genotyping is determined by an underlying continuous measure that is the mixture of three normal components, the likelihood ratio test (LRT) of the equality of mixing proportions is an alternative. We compare the performance of these tests by first calculating the power of the LRT and the relative efficiency of the 2x3 test to the LRT. When the minor SNP allele frequency is less than 0.2 in both cases and controls and the separation between genotype components is small, the LRT is more efficient than the 2x3 test. We present detailed tables of efficiencies and the limiting behavior of the relative efficiency.
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