Mondo: Unifying diseases for the world, by the world
Open accessAbstract
There are thousands of distinct disease entities and concepts, each of which are known by different and sometimes contradictory names. The lack of a unified system for managing these entities poses a major challenge for both machines and humans that need to harmonize information to better predict causes and treatments for disease. The Mondo Disease Ontology is an open, community-driven ontology that integrates key medical and biomedical terminologies, supporting disease data integration to improve diagnosis, treatment, and translational research. Mondo records the sources of all data and is continually updated, making it suitable for research and clinical applications that require up-to-date disease knowledge.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A systematic analysis of resources integrated into Mondo revealed nearly 10,500 unique rare diseases, in contrast to the commonly cited 7,000 figure.
“A systematic analysis of resources integrated into Mondo revealed nearly 10,500 unique rare diseases, in contrast to the commonly cited 7,000 figure (46).”
From Artificial Intelligence for Drug Discovery: Are We There Yet? (2024) · cites this paper as [46]
The Introduction says the authors’ systematic analysis across resources identified over 10,500 unique rare diseases. It says the often-quoted figure is 7,500, however, not 7,000; Table 2 separately lists 10,443 rare-disease concepts. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 18 · Cited by 107
Research works printed but not linked: 5
- Rogers FB. Medical subject headings. Bull Med Libr Assoc 1963; 51: 114-6.
- Mangaraj S, Sethy G. Hoffman's syndrome -A rare facet of hypothyroid myopathy. J Neurosci Rural Pract 2014; 5: 447-8.
- Jacobsen JOB, Baudis M, Baynam GS, et al. The GA4GH Phenopacket schema: A computable representation of clinical data for precision medicine. medRxiv 2021; published online Nov 30. DOI:10.5167/uzh-210475. · DOI
- Girdea M, Dumitriu S, Fiume M, et al. PhenoTips: patient phenotyping software for clinical and research use. Hum Mutat 2013; 34: 1057-65.
- Home -MedGen -NCBI. https://www.ncbi.nlm.nih.gov/medgen/ (accessed Feb 26, 2022).
- Authors
- Vasilevsky, N. A., Matentzoglu, N. A., Toro, S., Flack, J. E., Hegde, H., Unni, D. R., Alyea, G. F., Amberger, J. S., Babb, L., Balhoff, J. P., Bingaman, T. I., Burns, G. A., Buske, O. J., Callahan, T. J., Carmody, L. C., Cordo, P. C., Chan, L. E., Chang, G. S., Christiaens, S. L., Dumontier, M., Failla, L. E., Flowers, M. J., Garrett, H. A., Goldstein, J. L., Gration, D., Groza, T., Hanauer, M., Harris, N. L., Hilton, J. A., Himmelstein, D. S., Hoyt, C. T., Kane, M. S., Köhler, S., Lagorce, D., Lai, A., Larralde, M., Lock, A., López Santiago, I., Maglott, D. R., Malheiro, A. J., Meldal, B. H. M., Munoz-Torres, M. C., Nelson, T. H., Nicholas, F. W., Ochoa, D., Olson, D. P., Oprea, T. I., Osumi-Sutherland, D., Parkinson, H., Pendlington, Z. M., Rath, A., Rehm, H. L., Remennik, L., Riggs, E. R., Roncaglia, P., Ross, J. E., Shadbolt, M. F., Shefchek, K. A., Similuk, M. N., Sioutos, N., Smedley, D., Sparks, R., Stefancsik, R., Stephan, R., Storm, A. L., Stupp, D., Stupp, G. S., Sundaramurthi, J. C., Tammen, I., Tay, D., Thaxton, C. L., Valasek, E., Valls-Margarit, J., Wagner, A. H., Welter, D., Whetzel, P. L., Whiteman, L. L., Wood, V., Xu, C. H., Zankl, A., Zhang, X. A., Chute, C. G., Robinson, P. N., Mungall, C. J., Hamosh, A., & Haendel, M. A.
- Affiliations
- University of Colorado Anschutz (US)
- Johns Hopkins University (US)
- Lawrence Berkeley National Laboratory (US)
- Renaissance Computing Institute (US)
- Autism & Developmental Medicine Institute (US)
- Chan Zuckerberg Initiative (United States) (US)
- Columbia University (US)
- The Jackson Laboratory for Genomic Medicine (US)
- Oregon State University (US)
- National Cancer Institute (US)
- National Institute of Allergy and Infectious Diseases (US)
- Invitae (United States) (US)
- University of North Carolina at Chapel Hill (US)
- Government of Western Australia (AU)
- European Bioinformatics Institute (GB)
- Inserm (FR)
- Stanford University (US)
- Harvard University (US)
- National Institutes of Health (US)
- Boston Children's Hospital (US)
- European Molecular Biology Laboratory (DE)
- Geisinger Health System (US)
- The University of Sydney (AU)
- Critical Path Institute (US)
- University of New Mexico Health Sciences Center (US)
- Broad Institute (US)
- Helix (United States) (US)
- Queen Mary University of London (GB)
- Hebrew University of Jerusalem (IL)
- Scripps Research Institute (US)
- Jewish General Hospital (CA)
- Nationwide Children's Hospital (US)
- University of Luxembourg (LU)
- University of Cambridge (GB)
- Jackson Laboratory (US)
- Corresponding author
- Vasilevsky, Nicole A
- ORCID
- Vasilevsky, Nicole A
- Matentzoglu, Nicolas A
- Toro, Sabrina
- Flack, Joseph E
- Hegde, Harshad
- Unni, Deepak R
- Alyea, Gioconda F
- Amberger, Joanna S
- Babb, Larry
- Balhoff, James P
- Bingaman, Taylor I
- Burns, Gully A
- Buske, Orion J
- Callahan, Tiffany J
- Carmody, Leigh C
- Cordo, Paula Carrio
- Chan, Lauren E
- Chang, George S
- Christiaens, Sean L
- Dumontier, Michel
- Failla, Laura E
- Flowers, May J
- Garrett, H. Alpha
- Goldstein, Jennifer L
- Gration, Dylan
- Groza, Tudor
- Hanauer, Marc
- Harris, Nomi L
- Hilton, Jason A
- Himmelstein, Daniel S
- Hoyt, Charles Tapley
- Kane, Megan S
- Köhler, Sebastian
- Lagorce, David
- Lai, Abbe
- Larralde, Martin
- Lock, Antonia
- López Santiago, Irene
- Maglott, Donna R
- Malheiro, Adriana J
- Meldal, Birgit H M
- Munoz-Torres, Monica C
- Nelson, Tristan H
- Nicholas, Frank W
- Ochoa, David
- Olson, Daniel P
- Oprea, Tudor I
- Osumi-Sutherland, David
- Parkinson, Helen
- Pendlington, Zoë May
- Rath, Ana
- Rehm, Heidi L
- Riggs, Erin R
- Roncaglia, Paola
- Ross, Justyne E
- Shadbolt, Marion F
- Shefchek, Kent A
- Similuk, Morgan N
- Smedley, Damian
- Sparks, Rachel
- Stefancsik, Ray
- Stephan, Ralf
- Storm, Andrea L
- Stupp, Doron
- Stupp, Gregory S
- Sundaramurthi, Jagadish Chandrabose
- Tammen, Imke
- Tay, Darin
- Thaxton, Courtney L
- Valasek, Eloise
- Valls-Margarit, Jordi
- Wagner, Alex H
- Welter, Danielle
- Whetzel, Patricia L
- Whiteman, Lori L
- Wood, Valerie
- Xu, Colleen H
- Zankl, Andreas
- Zhang, Xingmin Aaron
- Chute, Christopher G
- Robinson, Peter N
- Mungall, Christopher J
- Hamosh, Ada
- Haendel, Melissa A
- Venue
- medRxiv
- Publisher
- openRxiv
- Published
- 2022-04-16
- OpenAlex
- W4224037213
- Cited by
- 107
- References
- 18
- Citations by year
- 2026: 14 · 2025: 33 · 2024: 43 · 2023: 14 · 2022: 3
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by
- Locations
- medRxiv (acceptedVersion, cc-by)
- Funders
- National Institutes of Health (R24OD011883)
- National Human Genome Research Institute (RM1HG010860)
- NIH Office of the Director (5R24 OD011883)
- U.S. National Library of Medicine
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Keywords
- Mondo Disease Ontology, disease ontology, disease terminology, biomedical terminology, translational research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review