Table of Contents
FABIO
is implemented as a R package, which can be installed from GitHub.
Dependencies #
- R libraries: Rcpp, RcppArmadillo, RcppProgress, data.table, snpStats, parallel, MASS
- PLINK is required, if you’d like to use the helper function to generate GReX input file using PLINK 1 binary files (.bed+.bim+.fam) of genotypes and pre-trained eQTL weights
1. Install FABIO
#
install.packages("devtools")
devtools::install_github("superggbond/FABIO")
library(FABIO)
2. Check the input options for the main function to perform TWAS fine-mapping on binary outcomes #
?fabio
3. Check the input options for the helper function to prepare GReX input file in the format that FABIO requests #
?prepGReX