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Activity Number:
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281
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Type:
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Contributed
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Date/Time:
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Tuesday, August 8, 2006 : 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 - #305965 |
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Title:
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Human Population Structure Detection via Multilocus Genotype Clustering
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Author(s):
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Xiaoyi Gao*+ and Bruce S. Weir
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Companies:
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North Carolina State University and University of Washington
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Address:
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Bioinformatics Research Center, Raleigh, NC, 27695-7566,
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Keywords:
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population structure ; SNP ; hierarchical clustering ; hapmap ; Perlegen
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Abstract:
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We describe a hierarchical clustering algorithm for using Single Nucleotide Polymorphism (SNP) genotype data to assign individuals to populations. Our method does not assume Hardy-Weinberg equilibrium and linkage equilibrium among loci in sample population individuals. We show that the algorithm can assign sample individuals highly accurately to their corresponding ethnic groups: CEU, YRI, CHB+JPT in our tests using HapMap SNP data and it is also robust to admixed populations when tested on Perlegen SNP data. Moreover, it can detect fine-scale population structure as subtle as that between Chinese and Japanese by using genome-wide high diversity SNP loci. This is the first successful separation of Chinese and Japanese samples using high diversity SNP loci with strong statistical support.
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