Package: MultiMeta
Type: Package
Title: Meta-analysis of Multivariate Genome Wide Association Studies
Version: 0.1
Date: 2014-08-21
Author: Dragana Vuckovic
Maintainer: Dragana Vuckovic <dragana.vuckovic@burlo.trieste.it>
Description: Allows running a meta-analysis of multivariate Genome Wide
    Association Studies (GWAS) and easily visualizing results through custom
    plotting functions. The multivariate setting implies that results for each
    single nucleotide polymorphism (SNP) include several effect sizes (also
    known as "beta coefficients", one for each trait), as well as related
    variance values, but also covariance between the betas. The main goal of
    the package is to provide combined beta coefficients across different
    cohorts, together with the combined variance/covariance matrix. The method
    is inverse-variance based, thus each beta is weighted by the inverse of its
    variance-covariance matrix, before taking the average across all betas. The
    default options of the main function \code{multi_meta} will work with files
    obtained from GEMMA multivariate option for GWAS (Zhou & Stephens, 2014).
    It will work with any other output, as soon as columns are formatted to
    have the according names. The package also provides several plotting
    functions for QQ-plots, Manhattan Plots and custom summary plots.
License: GPL (>= 2)
Imports: mvtnorm,expm,ggplot2,reshape2
Depends: gtable,grid
Collate: 'betas_plot.R' 'mhplot.R' 'multi_meta.R' 'qqplotter.R'
        'Example_file_1.R' 'Example_file_2.R' 'Example_output_file.R'
Packaged: 2015-01-15 08:57:26 UTC; genetica
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-01-15 11:44:10
Built: R 3.1.2; ; 2015-01-16 13:41:52 UTC; unix
