MeRIT - Mendelian Randomization for Identification of Targets

version: 0.7.0a0

This package allows users to perform Mendelian randomisation (MR) analysis and all the data manipulation steps that are required before the analysis. Whilst the focus is on cis-MR it can also be used for traditional genomewide-MR:

There is online documentation for merit.

Installation instructions

MeRIT currently supports Python 3.11, 3.12, and 3.13.

Installation using pip

Install from a local clone for development:

git clone git@gitlab.com:cfinan/merit.git
cd merit
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"

For a non-editable install from the repository root:

python -m pip install .

Installation using conda

Create a supported conda environment first, then install MeRIT with pip inside that environment:

conda create -n merit python=3.13
conda activate merit
python -m pip install -e ".[dev]"

The repository also keeps CI/CD and packaging helpers under resources/ci_cd/ and resources/conda/.

Next steps

From the repository root you can run:

pytest tests/ -v
ruff check merit tests
./resources/ci_cd/build.sh

Change log

To see what has changed in the current development cycle and tagged releases, see the change log.