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

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Documentation for package ‘metaCCA’ version 1.18.0

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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).