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Activity Number:
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111
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Type:
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Contributed
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Date/Time:
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Monday, August 7, 2006 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #305976 |
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Title:
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Robust-Affected Sib Pair Linkage Analysis for a Stratified Sample
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Author(s):
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Guan Xing*+ and Tao Wang and Robert C. Elston and J. S. Rao
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Companies:
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Case Western Reserve University and Case Western Reserve University and Case Western Reserve University and Case Western Reserve University
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Address:
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10900 Euclid Ave., Cleveland, OH, 44106,
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Keywords:
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robust ; linkage ; classification ; Bayesian
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Abstract:
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For an affected sib pair study using model-free linkage analysis, correct classification of samples into subpopulations is very important. However, the traditional self-report definition of ethnicity is usually subjective and imprecise. The program STRUCTURE has been used to make inferences about population structure with multiple marker information on independent samples. Here we propose a new method to deal with the imperfect sample data. Our approach aims to make use of both self report and genotypic information from correlated family data. Based on the classification obtained with self report information, a new Bayesian classification approach is derived to use the available genotypic information in order to exclude subsets of misclassified families.
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