Mediated Expression Score Regression (MESC)

MESC is a tool for estimating heritability mediated by assayed gene expression levels. See paper here:

Douglas Yao, Luke O'Connor, Alkes Price, Alexander Gusev. Quantifying genetic effects on disease mediated by assayed gene expression levels. Nature Genetics, 2020.

For a non-technical summary of the paper, see here: Intuition behind mediated expression score regression

To use, clone the repository:

git clone https://github.com/douglasyao/mesc.git
cd mesc

Next, activate the conda environment:

conda env create --file environment.yml
conda activate mesc

MESC is now ready to use. See the wiki page for further documentation. For comments and questions, please contact douglasyao@g.harvard.edu.

NOTE: This repository is no longer actively maintained. I’m not able to provide updates or bug fixes at this time, but you’re welcome to fork the code and modify it for your own use. Thanks for your understanding!