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

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

## Documentation for package ‘metaCCA’ version 1.40.0

- 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).