integrating omic data with the exposome
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omicRexposome is an R package for extending rexposome capabilities and include exposome-omic data analysis and integration. It depends in a series of third party R packages to provide:

  1. A series of pipelines to test exposome-omic and diseasome-omic associations. * [UNDER DEVELOPMENT] Basic GWAS pipeline based on snpStats * Methylome, Transcriptome and Proteome Association Analysis based on limma
  2. Two different approaches to integrate exposome with omic data are implemented using multiple co-inertia analysis from omicade4 and multi canonical correlation analysis from PMA


omicRexposome requires R version equal or newer than 3.3.0. The following script allows to install rexposome dependencies:

source( "" )

packages = c('Biobase', 'methods', 'snpStats', 'limma', 'sva', 'ggplot2',
    'ggrepel', 'PMA', 'omicade4', 'ggplot2', 'qqman', 'gridExtra'
for( pkg in packages ) {
  if( !pkg %in% rownames( installed.packages() ) ) {
    message( "Installing ", pkg )
    biocLite( pkg )

The package can be installed using the R package devtools. devtools can be installed win the following code:


Once devtools and the dependences are installed, the following code installs omicRexposome and the basic dependence rexposome:


Basic Guide

Exposome-Omic Association is done using the function assocES. This function requires an argument x being an ExposomeSet and an argument y being an ExpressionSet with the correct omic data (gene expression for transcriptome, betas or Ms for methylome, and protein level for proteome).

  • plotAssociation allows to plot the result of all assoc* functions having an argument type that can takes:
    • "manhattan" to draw a typical Manhattan plot
    • "protein" to draw an adapted version of a Manhattan plot for protein data
    • "volcano" to draw a volcano plot, having the option to fill the arguments tPV (significant P-Value) and tFC (significant fold change)
    • "qq" to draw a standard QQ plot

Function crossomics allows to perform a multi-omic integration join exposome by selecting one of the available methods ("mcia" or "mcca"). The main argument, called list, must be filled with a list of ExpressionSets (plus ExposomeSets).

  • plotIntegration allows to plot the results of crossomics, having a proper visualization for each method.