This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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132
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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ENAR
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Abstract - #306780 |
Title:
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Evaluation of Mixed-Model for Control of Population Stratification in Human Genetic Studies
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Author(s):
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Nianjun Liu* and Hongyu Zhao and David B. Allison+
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Companies:
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The University of Alabama at Birmingham and Yale University and The University of Alabama at Birmingham
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Address:
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1665 University Blvd. , Birmingham, AL, 35294-002,
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Keywords:
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mixed-model ;
genetics ;
population stratification ;
kinship
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Abstract:
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In genetic studies, associations may be confounded by unrecognized population stratification. Recently many methods have been proposed to address this issue. Among them, the approaches based on mixed-model have several advantages. However, these approaches have not been fully evaluated on human data. The objectives of this study are to (1) evaluate various methods based on mixed-model for genetic association mapping using human data, (2) compare the performance of different marker-based kinship matrices, (3) understand the effect of each component of these mixed-model approaches in genetic association mapping. We generate simulated datasets based on HapMap data under various scenarios. Preliminary results indicate that the approaches based on mixed-model perform well in controlling for population stratification. However, these methods do not necessarily eliminate such confounding effect.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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