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Abstract Details
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Activity Number:
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20
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #304473 |
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Title:
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Mixture Modeling as an Exploratory Framework for Genotype-Trait Associations
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Author(s):
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Rongheng Lin*+ and Kinman Au and Andrea S Foulkes
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Companies:
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University of Massachusetts-Amherst and University of Massachusetts-Amherst and University of Massachusetts-Amherst
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Address:
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715 N Pleasant Rd, Amherst, MA, 01002, United States
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Keywords:
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Genetic associations ;
Latent class ;
Mixture models
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Abstract:
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We propose a mixture modelling framework that explore the nature clustering of genotype-trait associations. This framework extends the classical mixed effects modelling approach for this setting by incorporating a Gaussian mixture distribution for random genotype effects.The primary advantages of this paradigm over existing approaches include that the mixture modelling framework relaxes the restrictive single normal distribution assumption of the classical mixed effects models and offers an exploratory framework for discovery of underlying structure across multiple genetic loci. An application to data arising from a study of antiretroviral-associated dyslipidaemia in human immunodeficiency virus infection is presented. Extensive simulations studies are also implemented to investigate the performance of this approach.
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