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Activity Number:
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513
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Type:
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Contributed
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Date/Time:
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Thursday, August 7, 2008 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #301002 |
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Title:
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Detecting and Controlling for Population Stratification in Linkage Analysis
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Author(s):
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Guan Xing*+ and Chao Xing
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Companies:
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Bristol-Myers Squibb Company and The University of Texas Southwestern Medical Center
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Address:
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311 Pennington-Rocky Hill Road, Pennington, NJ, 08534,
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Keywords:
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linkage analysis ; population stratification ; model-free
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Abstract:
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Population stratification directly affects allele frequency estimation at the population level, and subsequently has an impact on linkage analysis depending on the study design. In this study, by taking an analogy between genetic linkage and association analysis we elucidate the role of population stratification in linkage. Focusing on model-free linkage analysis of sibship data on a binary trait we propose detecting population stratification by genotyping additional members other than the affected in a proportion of families and comparing the proportion of alleles shared identical-by-descent estimated from large families with that estimated from small families, and propose controlling for it by a matched study design with paired comparison tests.
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