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Equus in Online Mendelian Inheritance in Animals (OMIA).

Imke Tammen1, Ernest Bailey2, Marius Mather3

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Summary

The Online Mendelian Inheritance in Animals (OMIA) database provides genetic information on inherited traits and diseases in horses (Equus). It is updated through global scientific contributions and new ontologies enhance data connectivity.

Keywords:
diseasegeneticmendelianontologytraitvariant

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Area of Science:

  • Veterinary Genetics
  • Animal Genomics
  • Equine Science

Background:

  • The Online Mendelian Inheritance in Animals (OMIA) database is a key resource for inherited traits and diseases in animals.
  • It specifically catalogs Mendelian traits and their causal variants (mutations) within the Equus genus.
  • Maintaining OMIA's comprehensive and current data presents challenges due to numerous species, increasing publications, and evolving genomic resources.

Purpose of the Study:

  • To describe the scope and ongoing development of the OMIA database for Equus inherited traits.
  • To highlight the importance of global scientific collaboration and educational initiatives in maintaining OMIA.
  • To introduce recent advancements in standardized nomenclature (ontologies) for improved data integration.

Main Methods:

  • Data compilation from peer-reviewed publications on Mendelian traits and mutations in Equus.
  • Inclusion of contributions from international scientists and student-led curation projects.
  • Development and implementation of computerized ontologies for standardized naming of breeds and phene categories.

Main Results:

  • OMIA serves as a vital, freely accessible repository for Mendelian phenes in Equus.
  • Collaborative efforts and educational activities have been crucial for database upkeep.
  • New ontologies enhance OMIA's interoperability with other online biological databases.

Conclusions:

  • OMIA is an indispensable reference for understanding inherited conditions and traits in horses.
  • Continuous global scientific input is essential for the database's accuracy and comprehensiveness.
  • Standardized ontologies are key to advancing data sharing and connectivity in animal genetics.