ArticleNucleic acids research2015
Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data.
Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 291 papers, 3 of them syntheses that pooled it.
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.
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Who cites it
291 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A meta-analysis of epitopes in prostate-specific antigens identifies opportunities and knowledge gaps.Human immunology · 2023Pooled it
- A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer.Nature genetics · 2020Pooled it
- Computational resources associating diseases with genotypes, phenotypes and exposures.Briefings in bioinformatics · 2019Pooled it
- Immune biomarkers, profiles, and responses: a vaccine ontology perspective.Journal of biomedical semantics · 2026Article
- Programmatic access to ICTV virus taxonomy through a public ontology API.bioRxiv : the preprint server for biology · 2026Article
- mInterdisciplinary sciences, computational life sciences · 2026Article
- Metappuccino: large language model-driven reconstruction of sequence read archive metadata for cancer research.Bioinformatics (Oxford, England) · 2026Article
- CuAgent provides a RAG-assisted intelligent framework to investigate cuproptosis.Scientific reports · 2026Article
- Article
- RWDisEnh+: Enhancing disease-enhancer association prediction through multiplex-heterogeneous networks.PloS one · 2026Article
- THGC_MDA: a method for predicting the associations between mFrontiers in genetics · 2026Article
- SynaptopathyDB integrates synaptic proteomes, genetic and phenotypic data to advance research on nervous system disorders.Scientific reports · 2025Article
- Benchmarking Transformer Embedding Models for Biomedical Terminology Standardization.Machine learning with applications · 2025Article
- GCNMF-SDA: predicting snoRNA-disease associations based on graph convolution and non-negative matrix factorization.Briefings in bioinformatics · 2025Article
- Predicting disease associations based on the higher order structure of ceRNA networks.Briefings in bioinformatics · 2025Article
- MambaCAttnGCN+: a comprehensive framework integrating MambaTextCNN, cross-attention and graph convolution network for piRNA-disease association prediction.Scientific reports · 2025Article
- Genetic associations of plasma proteins and breast cancer identify potential therapeutic drug candidates.Communications biology · 2025Article
- Predicting circRNA-disease associations with shared units and multi-channel attention mechanisms.Bioinformatics (Oxford, England) · 2025Article
- Therapeutic gene target prediction using novel deep hypergraph representation learning.Briefings in bioinformatics · 2024Article
- Tracking the Spread of Pollen on Social Media Using Pollen-Related Messages From Twitter: Retrospective Analysis.Journal of medical Internet research · 2024Article
231 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
The current version of the Human Disease Ontology (DO) (http://www.disease-ontology.org) database expands the utility of the ontology for the examination and comparison of genetic variation, phenotype, protein, drug and epitope data through the lens of human disease. DO is a biomedical resource of standardized common and rare disease concepts with stable identifiers organized by disease etiology. The content of DO has had 192 revisions since 2012, including the addition of 760 terms. Thirty-two percent of all terms now include definitions. DO has expanded the number and diversity of research communities and community members by 50+ during the past two years. These community members actively submit term requests, coordinate biomedical resource disease representation and provide expert curation guidance. Since the DO 2012 NAR paper, there have been hundreds of term requests and a steady increase in the number of DO listserv members, twitter followers and DO website usage. DO is moving to a multi-editor model utilizing Protégé to curate DO in web ontology language. This will enable closer collaboration with the Human Phenotype Ontology, EBI's Ontology Working Group, Mouse Genome Informatics and the Monarch Initiative among others, and enhance DO's current asserted view and multiple inferred views through reasoning.
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What OpenQuestion holds
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.