ArticleBioinformatics (Oxford, England)2021
EpiGraphDB: a database and data mining platform for health data science.
Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 35 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Genome-wide association analysis and Mendelian randomization proteomics identify drug targets for heart failure.Nature communications · 2023Pooled it
- Mendelian randomization and genetic colocalization infer the effects of the multi-tissue proteome on 211 complex disease-related phenotypes.Genome medicine · 2022Pooled it
- Multi-omics-driven precision medicine.iMeta · 2026Review
- APOE*4 risk-modifying genes and drug targets in Alzheimer's disease through cell-type-specific genomic analyses.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Mendelian randomization study of GLP-1R effects on ovarian cancer subtypes mediated by metabolic factors.Communications medicine · 2026Article
- Article
- Integrative Genetic, Proteogenomic, and Multi-omics Analyses Reveal Sex-Biased Causal Genes and Drug Targets in Alzheimer's Disease.medRxiv : the preprint server for health sciences · 2025Article
- Raising the bar for publication of Mendelian randomisation studies in Diabetologia.Diabetologia · 2025Article
- The rapid growth in Mendelian randomization studies.European journal of epidemiology · 2025Article
- Mind the gap: characterizing bias due to population mismatch in two-sample Mendelian randomization.medRxiv : the preprint server for health sciences · 2025Article
- Multi-omics analysis for identifying cell-type-specific and bulk-level druggable targets in Alzheimer's disease.Journal of translational medicine · 2025Article
- Advancements in one-dimensional protein structure prediction using machine learning and deep learning.Computational and structural biotechnology journal · 2025Review
- Managing the Exponential Growth of Mendelian Randomization Studies.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024Article
- Reclaiming mendelian randomization from the deluge of papers and misleading findings.Lipids in health and disease · 2024Article
- Triangulating evidence in health sciences with Annotated Semantic Queries.Bioinformatics (Oxford, England) · 2024Article
- Genome-wide association study reveals a locus in ADARB2 for complete freedom from headache in Danish Blood Donors.Communications biology · 2024Article
- Integrated Pleiotropic Gene Set Unveils Comorbidity Insights across Digestive Cancers and Other Diseases.Genes · 2024Article
- Virus-Induced Epilepsy vs. Epilepsy Patients Acquiring Viral Infection: Unravelling the Complex Relationship for Precision Treatment.International journal of molecular sciences · 2024Review
- Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers.Nature communications · 2024Article
- Pleiotropic Bias and Study Design Considerations in Genetic Association Studies.Medical journal of the Islamic Republic of Iran · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
10 authors.
Funding
Abstract
motivationThe wealth of data resources on human phenotypes, risk factors, molecular traits and therapeutic interventions presents new opportunities for population health sciences. These opportunities are paralleled by a growing need for data integration, curation and mining to increase research efficiency, reduce mis-inference and ensure reproducible research.
resultsWe developed EpiGraphDB (https://epigraphdb.org/), a graph database containing an array of different biomedical and epidemiological relationships and an analytical platform to support their use in human population health data science. In addition, we present three case studies that illustrate the value of this platform. The first uses EpiGraphDB to evaluate potential pleiotropic relationships, addressing mis-inference in systematic causal analysis. In the second case study, we illustrate how protein-protein interaction data offer opportunities to identify new drug targets. The final case study integrates causal inference using Mendelian randomization with relationships mined from the biomedical literature to 'triangulate' evidence from different sources. AVAILABILITY AND IMPLEMENTATION: The EpiGraphDB platform is openly available at https://epigraphdb.org. Code for replicating case study results is available at https://github.com/MRCIEU/epigraphdb as Jupyter notebooks using the API, and https://mrcieu.github.io/epigraphdb-r using the R package. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.