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.