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Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders

Open access
Hamosh, A.·2004·Nucleic Acids Research

Abstract

Online Mendelian Inheritance in Man (OMIM) is a comprehensive, authoritative and timely knowledgebase of human genes and genetic disorders compiled to support human genetics research and education and the practice of clinical genetics. Started by Dr Victor A. McKusick as the definitive reference Mendelian Inheritance in Man, OMIM (http://www.ncbi.nlm.nih.gov/omim/) is now distributed electronically by the National Center for Biotechnology Information, where it is integrated with the Entrez suite of databases. Derived from the biomedical literature, OMIM is written and edited at Johns Hopkins University with input from scientists and physicians around the world. Each OMIM entry has a full-text summary of a genetically determined phenotype and/or gene and has numerous links to other genetic databases such as DNA and protein sequence, PubMed references, general and locus-specific mutation databases, HUGO nomenclature, MapViewer, GeneTests, patient support groups and many others. OMIM is an easy and straightforward portal to the burgeoning information in human genetics.

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Metadata

Authors
Hamosh, A.
Venue
Nucleic Acids Research
Published
2004-12-17
Volume
33
Issue
Database issue
Pages
D514-D517
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2119412782
Cited by
3,420
References
0
FWCI
42.60
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders. https://app.cochat.ai/papers/10.1093/nar/gki033
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Hamosh, A. (2004). Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders. Nucleic Acids Research. https://doi.org/10.1093/nar/gki033

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.