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Abstract Details
Activity Number:
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526
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 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 - #305954 |
Title:
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Comparison of Internal Model Validation Methods for Multifactor Dimensionality Reduction to Find Genetic Heterogeneity Models
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Author(s):
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Holly Sweeney*+ and Jeffrey Joseph Gory
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Companies:
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North Carolina State University and North Carolina State University
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Address:
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Dept. of Statistics-Campus Box 8023, Raleigh, NC, 27695-8203, United States
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Keywords:
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multifactor dimensionality reduction ;
heterogeneity ;
epistasis ;
cross-validation ;
three-way split ;
internal model validation
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Abstract:
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Determining the genes responsible for complex human traits is challenging when the underlying genetic model takes a complicated form such as genetic heterogeneity (where different genetic models can result in the same trait) or epistasis (which involves gene-gene interactions). Multifactor Dimensionality Reduction (MDR) effectively detects epistasis, but heterogeneity confounds the standard cross-validation procedure used for internal model validation. Another internal model validation method, the three-way split, is more efficient than cross-validation and equally effective at detecting epistasis models. We tested whether or not the three-way split is better at detecting heterogeneity models by simulating genetic data (covering a range of heritabilites and penetrance models) that exhibits heterogeneity, implementing MDR with each internal model validation method, and performing empirical power calculations. We found that the three-way split's performance is just as limited as, and in some cases worse than, that of cross-validation in the presence of heterogeneity. Our results show that using a three-way split with MDR is not a good option when genetic heterogeneity is present.
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