Summary Statistics-Based Multivariate Meta-Analysis of
Genome-Wide Association Studies Using Canonical Correlation
Analysis
Description
metaCCA performs multivariate analysis of a single or
multiple GWAS based on univariate regression coefficients. It
allows multivariate representation of both phenotype and
genotype. metaCCA extends the statistical technique of
canonical correlation analysis to the setting where original
individual-level records are not available, and employs a
covariance shrinkage algorithm to achieve robustness.