New models for human disease from the International Mouse Phenotyping Consortium
Autor: | Melissa Haendel, Christopher Ward, Gemma Codner, Pilar Cacheiro, Chih-Wei Hsu, Terrence Meehan, Lydia Teboul, Violeta Muñoz-Fuentes, Yann Herault, Damian Smedley, MOHAMMED SELLOUM |
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Rok vydání: | 2019 |
Předmět: |
Mutant
Disease Computational biology Biology Genome Article 03 medical and health sciences symbols.namesake Mice 0302 clinical medicine Genetics Animals Humans Precision Medicine Gene 030304 developmental biology Mice Knockout 0303 health sciences Phenotype Human genetics 3. Good health Disease Models Animal 030220 oncology & carcinogenesis Knockout mouse Mendelian inheritance symbols |
Zdroj: | Mammalian Genome |
ISSN: | 1432-1777 |
Popis: | The International Mouse Phenotyping Consortium (IMPC) continues to expand the catalogue of mammalian gene function by conducting genome and phenome-wide phenotyping on knockout mouse lines. The extensive and standardized phenotype screens allow the identification of new potential models for human disease through cross-species comparison by computing the similarity between the phenotypes observed in the mutant mice and the human phenotypes associated to their orthologous loci in Mendelian disease. Here, we present an update on the novel disease models available from the most recent data release (DR10.0), with 5861 mouse genes fully or partially phenotyped and a total number of 69,982 phenotype calls reported. With approximately one-third of human Mendelian genes with orthologous null mouse phenotypes described, the range of available models relevant for human diseases keeps increasing. Among the breadth of new data, we identify previously uncharacterized disease genes in the mouse and additional phenotypes for genes with existing mutant lines mimicking the associated disorder. The automated and unbiased discovery of relevant models for all types of rare diseases implemented by the IMPC constitutes a powerful tool for human genetics and precision medicine. |
Databáze: | OpenAIRE |
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