Bayesian Genetic Association Test when Secondary Phenotypes Are Available Only in the Case Group

In many case-control genetic association studies, a secondary phenotype that may have common genetic factors with disease status can be identified. When information on the secondary phenotype is available only for the case group due to cost and different data sources, a fitting linear regression mod...

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Bibliographic Details
Published in:Entropy (Basel, Switzerland) Switzerland), 2016-04, Vol.18 (4), p.91-91
Main Authors: Kim, Yongku, Kwak, Minjung
Format: Article
Language:English
Subjects:
Bayes factor
Bayesian analysis
Bayesian testing
case-control design
Cost engineering
Data sources
Entropy
Genetics
genome-wide association study
incomplete data
Mathematical models
Regression
secondary phenotype
Workshops
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Summary:In many case-control genetic association studies, a secondary phenotype that may have common genetic factors with disease status can be identified. When information on the secondary phenotype is available only for the case group due to cost and different data sources, a fitting linear regression model ignoring supplementary phenotype data may provide limited knowledge regarding genetic association. We set up a joint model and use a Bayesian framework to estimate and test the effect of genetic covariates on disease status considering the secondary phenotype as an instrumental variable. The application of our proposed procedure is demonstrated through the rheumatoid arthritis data provided by the 16th Genetic Analysis Workshop.
ISSN:1099-4300
1099-4300
DOI:10.3390/e18040091