Summary Statistics-Based Multivariate Meta-Analysis of Genome-Wide Association Studies Using Canonical Correlation Analysis

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Documentation for package ‘metaCCA’ version 1.30.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

estimateSyy	Function to estimate correlations between phenotypic variables from summary statistics
metaCcaGp	Function to perform genotype-phenotype association analysis according to metaCCA algorithm.
metaCcaPlusGp	Function to perform genotype-phenotype association analysis according to metaCCA+ algorithm.
N1	Number of individuals in study 1.
N2	Number of individuals in study 2.
S_XX_study1	Correlations between 10 SNPs corresponding to the population underlying study 1.
S_XX_study2	Correlations between 10 SNPs corresponding to the population underlying study 2.
S_XY_full_study1	Univariate summary statistics of 10 traits across 1000 SNPs (study 1).
S_XY_full_study2	Univariate summary statistics of 10 traits across 1000 SNPs (study 2).
S_XY_study1	Univariate summary statistics of 10 traits across 10 SNPs (study 1).
S_XY_study2	Univariate summary statistics of 10 traits across 10 SNPs (study 2).