This is a library to quickly calculate power curves for the expected detected effect in Genome-Wide Association Studies.

If you are interested in installing this package for direct use within scripts or notebooks, please run:

git clone https://gitlab.com/data-analysis5/qtl-power.git
cd qtl-power
pip install .

to install directly from source.

If you are primarily interested in a more interactive experience, you can immediately use several of our pre-built notebooks via the mybinder link above. This will allow you to use the library to generate commonly used plots for comparing power for genetic association based on mutliple input parameters.

Currently the documentaton is held in the /docs directory and is built using Sphinx. To rebuild the documentation:

cd docsrc
make clean html copy
cd ..
git add docs/

then create a commit that will create an updated set of documentation.

• Matti Pirinen (GWAS Course Notes)
• Andriy Derkach, Haoyu Zhang, Nilanjan Chatterjee, Power Analysis for Genetic Association Test (PAGEANT) provides insights to challenges for rare variant association studies, Bioinformatics, Volume 34, Issue 9, 01 May 2018, Pages 1506–1513, https://doi.org/10.1093/bioinformatics/btx770
• Jennifer Li Johnson, Goncalo Abecasis GAS Calculator