ReviewBriefings in bioinformatics2019
Community-driven roadmap for integrated disease maps.
Review in Briefings in bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
42 citing papers in PubMed.
- From animal models to NAMs: a paradigm shift in developmental immunotoxicity testing.Archives of toxicology · 2026Review
- Functional Mapping of Neurodevelopmental Disease Pathways to Key Neurodevelopmental Processes Represented in the Developmental Neurotoxicity In Vitro Testing Battery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- momapy: a Python library to work with molecular maps.Bioinformatics (Oxford, England) · 2026Article
- The SjD Map: an interactive pathway tour into Sjögren's disease signalling mechanisms.NPJ systems biology and applications · 2026Article
- HIDmap: a physiology-based map of human immune system development to support animal-free research and regulatory innovation.Frontiers in immunology · 2026Article
- FAIR assessment of Disease Maps fosters open science and scientific crowdsourcing in systems biomedicine.Scientific data · 2025Article
- Advancing curation of viral life cycles, host interactions, and therapeutics in Reactome.Journal of virology · 2025Review
- Identification of shared and unique mechanisms of atopic dermatitis and ulcerative colitis by construction and computational analysis of disease maps.Computational and structural biotechnology journal · 2025Article
- An explorable model of an adverse outcome pathway of cytokine release syndrome related to the administration of immunomodulatory biotherapeutics and cellular therapies.Frontiers in immunology · 2025Article
- Unlocking liver physiology: comprehensive pathway maps for mechanistic understanding.Frontiers in toxicology · 2025Article
- Systems biology to unravel Western diet-associated triggers in inflammatory bowel disease.Frontiers in immunology · 2025Review
- Cohort-specific boolean models highlight different regulatory modules during Parkinson's disease progression.iScience · 2024Article
- Pathway-based, reaction-specific annotation of disease variants for elucidation of molecular phenotypes.Database : the journal of biological databases and curation · 2024Article
- A large-scale Boolean model of the rheumatoid arthritis fibroblast-like synoviocytes predicts drug synergies in the arthritic joint.NPJ systems biology and applications · 2023Article
- A guide for developing comprehensive systems biology maps of disease mechanisms: planning, construction and maintenance.Frontiers in bioinformatics · 2023Article
- Gene network inference from single-cell omics data and domain knowledge for constructing COVID-19-specificFrontiers in genetics · 2023Article
- Integrating Text Mining into the Curation of Disease Maps.Biomolecules · 2022Review
- Addressing barriers in comprehensiveness, accessibility, reusability, interoperability and reproducibility of computational models in systems biology.Briefings in bioinformatics · 2022Article
- Network- and enrichment-based inference of phenotypes and targets from large-scale disease maps.NPJ systems biology and applications · 2022Article
- Multi-omics approach to COVID-19: a domain-based literature review.Journal of translational medicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Disease Maps Project builds on a network of scientific and clinical groups that exchange best practices, share information and develop systems biomedicine tools. The project aims for an integrated, highly curated and user-friendly platform for disease-related knowledge. The primary focus of disease maps is on interconnected signaling, metabolic and gene regulatory network pathways represented in standard formats. The involvement of domain experts ensures that the key disease hallmarks are covered and relevant, up-to-date knowledge is adequately represented. Expert-curated and computer readable, disease maps may serve as a compendium of knowledge, allow for data-supported hypothesis generation or serve as a scaffold for the generation of predictive mathematical models. This article summarizes the 2nd Disease Maps Community meeting, highlighting its important topics and outcomes. We outline milestones on the roadmap for the future development of disease maps, including creating and maintaining standardized disease maps; sharing parts of maps that encode common human disease mechanisms; providing technical solutions for complexity management of maps; and Web tools for in-depth exploration of such maps. A dedicated discussion was focused on mathematical modeling approaches, as one of the main goals of disease map development is the generation of mathematically interpretable representations to predict disease comorbidity or drug response and to suggest drug repositioning, altogether supporting clinical decisions.
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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.