Bulik-Sullivan and co-authors presented a matrix of genome-wide genetic correlations derived via linkage-disequilibrium regression. The resulting correlations are available both from the supplementary material of the original article and from github in an easily readable, alas somewhat dry text format (.csv).
This R package wraps the data and offers simple but convenient tools for extracting and displaying these genetic correlations from the R commandline.
To install GeneCorrAtlas
from github, you need the devtools package in your R environment. If you have not done so yet, start a fresh R session and run
install.packages("devtools")
This will install the developer tools and their dependencies. Now you can easily install VEGAStools
via
devtools::install_github("alexploner/GeneCorrAtlas")
and you are good to go.
While you are at the R command line, have a look at the package vignette:
vignette("GeneCorrAtlas_inR")
This will give you a quick overview of how to access and display the data.
I'm not affiliated with the group that has calculated these correlations (see links above), I just provide tools for easy access to their excellent work.
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