Bivariate association analyses for the mixture of continuous and binary traits with the use of extended generalized estimating equations.

Abstract excerpt

Genome-wide association (GWA) study is becoming a powerful tool in deciphering genetic basis of complex human diseases/traits. Currently, the univariate analysis is the most commonly used method to identify genes associated with a certain disease/phenotype under study. A major limitation with the univariate analysis is that it may not make use of the information of multiple correlated phenotypes, which are...

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• Genetic Predisposition to Disease
• Genome-Wide Association Study
• Models, Genetic
• Phenotype