Joint analysis of multiple phenotypes: summary of results and discussions from the Genetic Analysis Workshop 19

BMC Genetics(2016)

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摘要
For Genetic Analysis Workshop 19, 2 extensive data sets were provided, including whole genome and whole exome sequence data, gene expression data, and longitudinal blood pressure outcomes, together with nongenetic covariates. These data sets gave researchers the chance to investigate different aspects of more complex relationships within the data, and the contributions in our working group focused on statistical methods for the joint analysis of multiple phenotypes, which is part of the research field of data integration. The analysis of data from different sources poses challenges to researchers but provides the opportunity to model the real-life situation more realistically.
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关键词
Joint Model,Gene Expression Measure,Copula Function,Copula Model,Latent Growth Curve Model
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