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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 - #309257 |
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Title:
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Cluster Analysis and PCA for Detection of Genetic Variants and Population Structure
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Author(s):
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Diana Luca*+ and Kathryn Roeder and Bernie Devlin
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Companies:
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Carnegie Mellon University and Carnegie Mellon University and University of Pittsburgh Medical Center
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Address:
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4910 Centre Ave, Pittsburgh, PA, 15213,
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Keywords:
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case-control ; genetic markers ; cluster analysis ; PCA ; population heterogeneity
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Abstract:
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Case-control studies for association are widely used for finding genetic variants causally associated with phenotypes. Unfortunately, any type of population structure can induce false positives. If cases and controls have different genetic backgrounds, there is a chance that some gene frequency differences are due to ancestral population of origin rather than to the marker loci's direct cause of disease. This study focuses on the close relationship between cluster-based methods and PCA techniques. Simulation results show that the two approaches can complement each other in order to improve the real structure detection.
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