How many rare diseases are there?
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As of January 2023, the DrugCentral database contains 2331 FDA-approved human drugs associated with 2644 drug indications and 866 off-label uses.
“As of January 2023, the DrugCentral database contains 2331 FDA-approved human drugs associated with 2644 drug indications and 866 off-label uses (47).”
From Artificial Intelligence for Drug Discovery: Are We There Yet? (2024) · cites this paper as [47]
The paper’s “How many rare diseases are there?” section counts rare-disease terms, not drugs or their uses. Searches for DrugCentral, the three reported counts, and January 2023 found no passage in our copy addressing the database claim. (LLM, conf=0.77)
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Stop Codon Context-Specific Induction of Translational Readthrough
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Bishop, Ö. T., Musyoka, T. M., & Barozi, V. (2022) · Journal of Molecular Biology · doi:10.1016/j.jmb.2022.167610 · Cited by 23 · see citing works
From precision interventions to precision health
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Cope, H., Willis, C. R. G., MacKay, M. J., Rutter, L. A., Toh, L. S., Williams, P. M., Herranz, R., Borg, J., Bezdan, D., Giacomello, S., et al. (2022) · Patterns · doi:10.1016/j.patter.2022.100550 · Cited by 21 · see citing works
Okuyama, R. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15071794 · Cited by 21 · see citing works
The Role of Propranolol as a Repurposed Drug in Rare Vascular Diseases
Cuesta, Á. M., Gallardo‐Vara, E., Casado‐Vela, J., Recio-Poveda, L., Botella, L. M., & Albiñana, V. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23084217 · Cited by 20 · see citing works
Epigenomic Approaches for the Diagnosis of Rare Diseases
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A corpus of GA4GH phenopackets: Case-level phenotyping for genomic diagnostics and discovery
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- Authors
- Haendel, M., Vasilevsky, N., Unni, D., Bologa, C., Harris, N., Rehm, H., Hamosh, A., Baynam, G., Groza, T., McMurry, J., Dawkins, H., Rath, A., Thaxton, C., Bocci, G., Joachimiak, M. P., Köhler, S., Robinson, P. N., Mungall, C., & Oprea, T. I.
- Affiliations
- Oregon Health & Science University (US)
- Lawrence Berkeley National Laboratory (US)
- University of New Mexico (US)
- Massachusetts General Hospital (US)
- Johns Hopkins University (US)
- Government of Western Australia Department of Health (AU)
- Oregon State University (US)
- Inserm (FR)
- University of North Carolina at Chapel Hill (US)
- Freie Universität Berlin (DE)
- The Jackson Laboratory for Genomic Medicine (US)
- Corresponding author
- Haendel, Melissa
- Oprea, Tudor I.
- ORCID
- Venue
- Nature Reviews Drug Discovery
- Published
- 2019-11-05
- Volume
- 19
- Issue
- 2
- Pages
- 77-78
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- PMC
- PMC7771654
- OpenAlex
- W2988630324
- Cited by
- 554
- References
- 6
- Citations by year
- 2026: 69 · 2025: 115 · 2024: 133 · 2023: 100 · 2022: 75 · 2021: 46 · 2020: 15 · 2019: 1
- FWCI
- 22.15
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Reviews Drug Discovery (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (U24TR002278, R24OD011883)
- National Human Genome Research Institute (U41HG009650, U41HG006627, RM1HG010860, U24HG009650)
- National Cancer Institute (U24CA224370, U01CA239108, P30CA118100)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
- Keywords
- rare diseases, disease prevalence, disease definition, disease burden, rare disease epidemiology, rare disease research
- MeSH terms
- Humans, Phenotype, Rare Diseases
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 ›
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