The Monarch Initiative in 2024: an analytic platform integrating phenotypes, genes and diseases across species.

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  • Additional Information
    • Source:
      Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium: Internet ISSN: 1362-4962 (Electronic) Linking ISSN: 03051048 NLM ISO Abbreviation: Nucleic Acids Res Subsets: MEDLINE
    • Publication Information:
      Publication: 1992- : Oxford : Oxford University Press
      Original Publication: London, Information Retrieval ltd.
    • Subject Terms:
    • Abstract:
      Bridging the gap between genetic variations, environmental determinants, and phenotypic outcomes is critical for supporting clinical diagnosis and understanding mechanisms of diseases. It requires integrating open data at a global scale. The Monarch Initiative advances these goals by developing open ontologies, semantic data models, and knowledge graphs for translational research. The Monarch App is an integrated platform combining data about genes, phenotypes, and diseases across species. Monarch's APIs enable access to carefully curated datasets and advanced analysis tools that support the understanding and diagnosis of disease for diverse applications such as variant prioritization, deep phenotyping, and patient profile-matching. We have migrated our system into a scalable, cloud-based infrastructure; simplified Monarch's data ingestion and knowledge graph integration systems; enhanced data mapping and integration standards; and developed a new user interface with novel search and graph navigation features. Furthermore, we advanced Monarch's analytic tools by developing a customized plugin for OpenAI's ChatGPT to increase the reliability of its responses about phenotypic data, allowing us to interrogate the knowledge in the Monarch graph using state-of-the-art Large Language Models. The resources of the Monarch Initiative can be found at monarchinitiative.org and its corresponding code repository at github.com/monarch-initiative/monarch-app.
      (© The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research.)
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    • Grant Information:
      T15 LM009451 United States LM NLM NIH HHS; 5RM1HG010860-04 United States HG NHGRI NIH HHS; R24 OD011883 United States OD NIH HHS; U24 HG011449 United States HG NHGRI NIH HHS; RM1 HG010860 United States HG NHGRI NIH HHS; T15LM009451 United States LM NLM NIH HHS
    • Publication Date:
      Date Created: 20231124 Date Completed: 20240111 Latest Revision: 20241019
    • Publication Date:
      20241019
    • Accession Number:
      PMC10767791
    • Accession Number:
      10.1093/nar/gkad1082
    • Accession Number:
      38000386