Evidence map›Paper›PMID 30407550›Full record

ArticleNucleic acids research2019

Human Disease Ontology 2018 update: classification, content and workflow expansion.

Lynn M Schriml, Elvira Mitraka, James Munro, Becky Tauber, Mike Schor, Lance Nickle, Victor Felix, Linda Jeng, Cynthia Bearer, Richard Lichenstein and 10 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 247 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
247citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

247 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  10. The Common Fund Data Ecosystem (CFDE).bioRxiv : the preprint server for biology · 2026
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  15. Cell-Free DNA-Based Theranostics for Inflammatory Disorders.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

187 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Lynn M SchrimlUniversity of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
Elvira MitrakaDalhousie University, Halifax, NS, Canada.
James MunroUniversity of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
Becky TauberUniversity of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
Mike SchorUniversity of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
Lance NickleUniversity of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
Victor FelixUniversity of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
Linda JengUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Cynthia BearerUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Richard LichensteinUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Katharine BisordiUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Nicole CampionUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Brooke HymanUniversity of Maryland School of Medicine, Baltimore, MD, USA.
David KurlandNew York University Langone Medical Center, Department of Neurosurgery, New York, NY, USA.
Connor Patrick OatesDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Siobhan KibbeyUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Poorna SreekumarUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Chris LeUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Michelle GiglioUniversity of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
Carol GreeneUniversity of Maryland School of Medicine, Baltimore, MD, USA.

Funding

Mouse Genome DatabaseU41HG000330 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A, BULT, CAROL J · 2011 to 2020
$45.5M
The Disease Ontology Project: mechanistic profiles of human disease for biomedical and clinical researchU41HG008735 · NHGRI · UNIVERSITY OF MARYLAND BALTIMORE · PI SCHRIML, LYNN MARIE · 2017 to 2021
$3.4M
NHGRI NIH HHS U41 HG000330NHGRI NIH HHS U41 HG008735
6 · The paper itself

Abstract

The Human Disease Ontology (DO) (http://www.disease-ontology.org), database has undergone significant expansion in the past three years. The DO disease classification includes specific formal semantic rules to express meaningful disease models and has expanded from a single asserted classification to include multiple-inferred mechanistic disease classifications, thus providing novel perspectives on related diseases. Expansion of disease terms, alternative anatomy, cell type and genetic disease classifications and workflow automation highlight the updates for the DO since 2015. The enhanced breadth and depth of the DO's knowledgebase has expanded the DO's utility for exploring the multi-etiology of human disease, thus improving the capture and communication of health-related data across biomedical databases, bioinformatics tools, genomic and cancer resources and demonstrated by a 6.6× growth in DO's user community since 2015. The DO's continual integration of human disease knowledge, evidenced by the more than 200 SVN/GitHub releases/revisions, since previously reported in our DO 2015 NAR paper, includes the addition of 2650 new disease terms, a 30% increase of textual definitions, and an expanding suite of disease classification hierarchies constructed through defined logical axioms.

Indexed as

Biological OntologiesDatabases, FactualDiseaseHumansWorkflow

Identifiers

PMID30407550
PMCPMC6323977

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.