Identifying novel associations in GWAS by hierarchical Bayesian latent variable detection of differentially misclassified phenotypes
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DOI: 10.1186/s12859-020-3387-z
Abstract: Background Heterogeneity in the definition and measurement of complex diseases in Genome-Wide Association Studies (GWAS) may lead to misdiagnoses and misclassification errors that can significantly impact discovery of disease loci. While well appreciated, almost all… read more here.
Keywords: disease; bayesian latent; misclassified phenotypes; hierarchical bayesian ... See more keywords