epigraphdb

is a Knowledge Graph.

EpiGraphDB is an analytical platform and graph database for health data science that integrates Mendelian randomization causal estimates across a wide range of phenotypes with diverse bioinformatic and epidemiological resources. It supports systematic causal inference, data mining, and exploration through a web application, API, R package, and curated graph knowledge base.

Domains

health, biomedical, genomics, investigations

License

Mixed

Homepage

epigraphdb

Repository

Unknown

Infores ID

Unknown

FAIRsharing ID

Unknown

Product Summary

Products

From this Resource
ID Name URL Category Format Description
epigraphdb.web EpiGraphDB Web UI epigraphdb.org GraphicalInterface http Web application for interactive explo...
epigraphdb.api EpiGraphDB REST API api.epigraphdb.org ProgrammingInterface Public REST API for programmatic acce...
epigraphdb.rpackage epigraphdb R Package epigraphdb-r ProgrammingInterface R client package providing higher-lev...
epigraphdb.examples EpiGraphDB Example Notebooks paper-case-studies DocumentationProduct Example notebooks demonstrating EpiGr...
epigraphdb.graph EpiGraphDB Graph Database graph-database GraphProduct neo4j Integrated graph knowledge base combi...
epigraphdb.docs EpiGraphDB Documentation docs.epigraphdb.org DocumentationProduct http Documentation hub containing conceptu...

Details

Overview

EpiGraphDB integrates causal inference results generated via Mendelian randomization across numerous phenotypes with complementary bioinformatic and epidemiological datasets. The platform enables hypothesis generation, pleiotropy assessment, pathway and drug target prioritization, literature triangulation, and ontology mapping within a unified graph structure. Access pathways include a rich web UI, REST API, R package, documentation, and example notebooks.

Key Features

  • Systematic integration of Mendelian randomization causal estimates
  • Graph-based representation of multi-source biomedical relationships
  • Interactive exploration (search, pathways, MR, literature, ontology, COVID-19, drugs)
  • Programmatic access via REST API and R package
  • Reproducible example notebooks and case studies
  • Documentation on data integration, meta-nodes, relationships, metrics, and studies

Citation

Liu Y, Elsworth B, Erola P, Haberland V, Hemani G, Lyon M, Zheng J, Lloyd O, Vabistsevits M, Gaunt TR. EpiGraphDB: a database and data mining platform for health data science. Bioinformatics. 2020. doi:10.1093/bioinformatics/btaa961

Contact

Submit issues via the GitHub repository or email feedback@epigraphdb.org. Follow updates on Twitter (@epigraphdb).

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Created: September 03, 2025 | Last modified: September 03, 2025