This repository contains basic examples for querying MR-EvE and literature data in EpiGraphDB. This code is made available alongside the analysis published in the article "Integrating Mendelian randomization and literature-mined evidence for breast cancer risk factors" on MedRxiv.
The main development repo of this project is https://github.com/mvab/epigraphdb-breast-cancer. The examples presented here may be helpful for understanding and/or replicating EpiGraphDB queries that were used in that project, or applying them to study your disease of interest.
The basic examples of querying EpiGraphDB with epigraphdb-r
R package are provided in the "Getting started" guide.
-
01_mr-eve_exposure_to_outcomes.ipynb
- collect all risk factors for a disease outcome from MR-EvE -
02_query_mediators_between_traits.ipynb
- identify potential mediators between exposure and outcome using MR-EvE -
03_extract_trait_literature_space.ipynb
- extract literature-mined relationships related to a (GWAS) trait of interest