- 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 git://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(-)
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)