Learn to use Online Mendelian Inheritance in Man, or OMIM, a catalog of human genes and genetic conditions. OMIM is a foundational resource in genomics and is valuable for clinicians and biomedical researchers. OMIM links and data are found at sites all around the bioinformatics sphere, but understanding the full scope of OMIM's data and resources enable the most comprehensive understanding of human phenotypes and disease. OMIM contains full-text summaries of information from the scientific literature, and provides extensive links to the literature resources and other genomic resource tools as well. Use OMIM as a comprehensive first stop to find important information and gene links for human Mendelian disorders.

You will learn:

  • ways to perform both simple and advanced searches
  • how to navigate and customize output displays to best serve your needs
  • methods to view OMIM data organized by either genes or disorders
  • where to find, and how to use additional features of the OMIM resource
TUTORIAL RELATED CONTENT

TUTORIALS

This tutorial is a part of the tutorial group Human variations. You might find the other tutorials in the group interesting:

GAD: Genetic Association Database: An archived database associating human genes and polymorphisms with diseases

Madeline 2.0: Human pedigree diagram tools

DrugBank: A chemoinformatics and bioinformatics resource

DGV: Database of Genomic Variants: Database of Genomic Variants, DGV, catalogs and displays structural variation in the human genome

NIEHS SNPs: National Institute for Environmental Health Sciences Environmental Genome Project (EGP) SNPs

CGAP: Characterize the molecular genetic changes that cause a normal cell to become a cancer cell

ENCODE Foundations: ENCyclopedia of DNA Elements

HapMap: HapMap, a database and analysis resource of human variation

Genetics Home Reference: A collection of data describing the effects of genetic variability on human health and disease

GeneSNPs: An integrated view of gene structure and SNP variations

dbGaP: A database of genotypes and phenotypes with extensive variation data and clinical details

SeattleSNPs: Human SNPs in genes

dbSNP: NCBI's SNP database

GeneTests: GeneTests, a current, comprehensive genetic testing resource

CATEGORIES

Variation & Medical : Resources that include information about sequence variation, phenotypes, or medically-relevant conditions.

BLOG POSTS

Video Tip of the Week: Human Phenotype Ontology, HPO: Typically, our Tips-of-the-Week cover a specific software tool or feature that we think readers would maybe like to try out. But this week's tip is a bit different. It's got a conceptual piece that is ...

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Video Tip of the Week: PheGenI, Phenotype-Genotype Integrator: The hunt for variations in genes and genomes has been both fruitful and frustrating. We can see genome variations in a variety of ways, but we can't always connect them with a phenotype easily. And vic...

BIOMED CENTRAL

Recent BioMed Central research articles citing this resource

Zhu Jun et al., A systems genetics study of swine illustrates mechanisms underlying human phenotypic traits. BMC Genomics (2015) doi:10.1186/s12864-015-1240-y

Tassano Elisa et al., Concomitant deletion of chromosome 16p13.11 and triplication of chromosome 19p13.3 in a child with developmental disorders, intellectual disability, and epilepsy. Molecular Cytogenetics (2015) doi:10.1186/s13039-015-0115-x

Upadhyay Rohit et al., Role of SLMAP genetic variants in susceptibility of diabetes and diabetic retinopathy in Qatari population Personalized medicine. Journal of Translational Medicine (2015) doi:10.1186/s12967-015-0411-6

MaciÄ…g Anna et al., Exome sequencing of a family with lone, autosomal dominant atrial flutter identifies a rare variation in ABCB4 significantly enriched in cases Complex traits and quantitative genetics. BMC Genetics (2015) doi:10.1186/s12863-015-0177-0

Bhattacharya Kaustuv et al., A pilot longitudinal study of the use of waxy maize heat modified starch in the treatment of adults with glycogen storage disease type I: a randomized double-blind cross-over study. Orphanet Journal of Rare Diseases (2015) doi:10.1186/s13023-015-0229-6