International Mouse Phenotyping Consortium Portal: facilitating investigation of gene function and providing insights into human disease
The International Mouse Phenotyping Consortium (IMPC; https://www.mousephenotype.org/) web portal contains phenotype data for mouse protein-coding genes derived from analysis of data obtained in a systematic and high-throughput fashion from knock-out lines produced by IMPC. The project has produced >1400 candidate mouse models of human disease that recapitulate phenotypes observed in patients. Over 8000 papers rely on data or reagents generated by IMPC, demonstrating the impact of the project on the research and clinical communities, and IMPC data is incorporated into other resources, such as MGI, Open Targets, and UniProt. Data release (DR23.0, 2025) contains >100 million data points from 9277 genes and identified 113 803 significant phenotypes. To manage efficient access to this quantity of high dimensional data the IMPC web portal has been rebuilt using a cloud native architecture. The modern user interface retains the look and feel of the original portal with improvements identified through a usability study. New data visualization and training materials for large scale data access through the API have also been developed to make the resource easier to use.
Authors
- Pilar Cacheiro (ORCID: https://orcid.org/0000-0002-6335-8208)
- Tsz Kwan Cheng
- Anthony Frost
- Damian Smedley (ORCID: https://orcid.org/0000-0002-5836-9850)
- Helen E. Parkinson (ORCID: https://orcid.org/0000-0003-3035-4195)
- Piia Keskivali-Bond
- Osman Güneş (ORCID: https://orcid.org/0000-0002-4987-6981)
- Federico López (ORCID: https://orcid.org/0000-0002-7138-3542)
- Min‐Yen Kan (ORCID: https://orcid.org/0000-0001-8507-3716)
- Jose Francisco Peña Estrada (ORCID: https://orcid.org/0000-0002-4698-8929)
- Bora Vardal
- James Alastair McLaughlin (ORCID: https://orcid.org/0000-0002-8361-2795)
- Ewan Selkirk
- Diego Pava
- Claudio Guilherme de Assis Oliveira (ORCID: https://orcid.org/0009-0004-4997-7354)
- Sara Wells
- Jakub Mucha
- Robert Wilson (ORCID: https://orcid.org/0000-0002-9407-5526)
- Tawanda Munava
- Tuğba Bülbül Ataç
Institutions
- European Bioinformatics Institute (GB)
- Queen Mary University of London (GB)
- Mary Lyon Centre at MRC Harwell (GB)
- Bioinformatics Institute (RU)
- William Harvey Research Institute (GB)
Publication Details
- Journal
- Nucleic Acids Research
- Published
- 2025-11-13
- DOI
- https://doi.org/10.1093/nar/gkaf1148
- Citations
- 2
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 1.61