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Activity Number:
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487
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Type:
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Invited
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Date/Time:
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Thursday, August 10, 2006 : 8:30 AM to 10:20 AM
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Sponsor:
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Committee on Women in Statistics
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| Abstract - #305170 |
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Title:
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A Markov-Hidden Markov Model for Genetic Admixture
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Author(s):
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Hua Tang*+ and Pei Wang and Marc Coram
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Companies:
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Fred Hutchinson Cancer Research Center and Fred Hutchinson Cancer Research Center and The University of Chicago
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Address:
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1100 Fairview Ave., N., M2-B500, Seattle, WA, 98109,
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Keywords:
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Abstract:
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We consider the problem of inferring ancestry along chromosomes in an admixed population using high-density genotyping data. The Markov-Hidden Markov Model (MHMM) we propose accounts for background linkage disequilibrium (LD) that exists in ancestry populations. We also extend the existing approaches to allow each ancestral population to admix at a different time in history. We use simulation to illustrate the importance of modeling the background LD. The MHMM opens up the possibility to infer ancestry and perform admixture mapping without genotyping any special ancestry-informative marker panels.
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