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Activity Number:
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502
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 2, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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WNAR
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| Abstract - #309984 |
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Title:
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Evaluating Individual Admixture Estimation Through Plasmodes
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Author(s):
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Laura K. Vaughan*+ and Jasmin Divers and Miguel Padilla and David T. Redden and Hemant Tiwari and Daniel Pomp and David B. Allison
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Companies:
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The University of Alabama at Birmingham and The University of Alabama at Birmingham and The University of Alabama at Birmingham and The University of Alabama at Birmingham and The University of Alabama at Birmingham and The University of North Carolina at Chapel Hill and The University of Alabama at Birmingham
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Address:
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RPHB 327, Birmingham, AL, 35294-0022,
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Keywords:
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Admixture ; Ancestry ; Plasmode ; Structured Association Testing ; Regional Admixture Mapping
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Abstract:
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Structured association testing, where individual admixture estimates are used as control variables, has been advanced as a means of controlling for confounding induced by population stratification in genetic association studies. Many admixture estimation methods have been proposed and evaluated with simulated data. An attractive method to supplement the evaluation is the use of plasmodes. Plasmode datasets are simply those generated by natural processes, and not through computer simulation, but have some aspect of the truth known. Here we use plasmodes consisting of mouse crosses. Each cross shares a common founding inbred line so that the ancestry proportion for each mouse is known. This allows us to compare the effectiveness of different algorithms (Structure, AdmixMap, and FRAPPE) at estimating individual admixture proportions.
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