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...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Genetic Predisposition to Disease
• Share to Genome-Wide Association Study