- Pleiotropic Locus Exploration and Interpretation using Optimal test
pleio is a command line tool for performinig meta-analysis of multiple GWAS summary statistics.
In order to download pleio, you should clone this repository via the command
git clone https://github.com/cuelee/pleio.git
cd pleio
In order to run pleio, the following python dependencies must be installed in your system.
- python >= 3.7.4
- pandas
- numpy
- scipy
Once the above has completed, you can run the following command:
./pleio,py -h
You can update to the newest version of PLEIO using git. First, navigate to your pleio/ directory (e.g., cd pleio), then run
git pull
If PLEIO is up to date, you will see
Already up-to-date.
otherwise, you will see git output similar to
remote: Enumerating objects: 9, done.
remote: Counting objects: 100% (9/9), done.
remote: Compressing objects: 100% (3/3), done.
remote: Total 6 (delta 4), reused 5 (delta 3), pack-reused 0
Unpacking objects: 100% (6/6), done.
From git://github.com/hanlab-SNU/pleio
e065a06..14c3399 master -> origin/master
Updating e065a06..14c3399
Fast-forward
README.md | 2 +-
ldsc_preprocess | 2 +-
2 files changed, 2 insertions(+), 2 deletions(-)
An executable example file and run command can be found on the WIKI page of this Github repository. Link
If you use the software, please cite
Lee, C. H., Shi, H., Pasaniuc, B., Eskin, E., & Han, B. (2021). PLEIO: a method to map and interpret pleiotropic loci with GWAS summary statistics. The American Journal of Human Genetics, 108(1), 36–48. Link
Issues with PLEIO? Email hl3565@cumc.columbia.edu
This project has no license currently.
Cue Hyunkyu Lee ( Columbia University Irving Medical Center)