The International Mouse Phenotyping Consortium (IMPC; https://www.mousephenotype.org/) web portal makes available curated, integrated and analysed knockout mouse phenotyping data generated by the IMPC project consisting of 85M data points and over 95,000 statistically significant phenotype hits mapped to human diseases. The IMPC portal delivers a substantial reference dataset that supports the enrichment of various domain-specific projects and databases, as well as the wider research and clinical community, where the IMPC genotype–phenotype knowledge contributes to the molecular diagnosis of patients affected by rare disorders. Data from 9,000 mouse lines and 750 000 images provides vital resources enabling the interpretation of the ignorome, and advancing our knowledge on mammalian gene function and the mechanisms underlying phenotypes associated with human diseases. The resource is widely integrated and the lines have been used in over 4,600 publications indicating the value of the data and the materials.

Mouse models are relevant to study the functionality of genes involved in human diseases, however, translation of phenotypes can be challenging. Herein, we investigated genes related to monogenic forms of cardiovascular disease based on the Genomics England PanelApp and aligned them to the International Mouse Phenotyping Consortium data. We found 153 genes associated to cardiomyopathy, cardiac arrhythmias or congenital heart disease in humans, 151 with a one2one mouse orthologs. For 37.7% (57/151) viability and heart data captured by electrocardiography, transthoracic echocardiography, morphology and pathology from embryos and young adult mice was available. In knockout mice, 75.4% (43/57) of these genes showed non-viable phenotypes, whereas records of prenatal, neonatal or infant death in humans were found for 35.1% (20/57). Multisystem phenotypes are common, with 58.8% (20/34) of heterozygous (homozygous lethal) and 78.6% (11/14) of homozygous (viable) mice showing cardiovascular, metabolic/homeostasis, musculoskeletal, hematopoietic, nervous system and/or growth abnormalities mimicking the clinical manifestations observed in patients. This IMPC data is critical beyond cardiac diagnostics given its multisystemic nature that allows detecting abnormalities across physiological systems, providing a valuable resource to understand pleiotropic effects.