The International Mouse Phenotyping Consortium (IMPC): a functional catalogue of the mammalian genome that informs conservation

Violeta Muñoz‐Fuentes(European Bioinformatics Institute), Pilar Cacheiro(Queen Mary University of London), Terrence F. Meehan(European Bioinformatics Institute), Juan Antonio Aguilar‐Pimentel(Helmholtz Zentrum München), Steve D. M. Brown(Mary Lyon Centre at MRC Harwell), Ann M. Flenniken(Mount Sinai Hospital), Paul Flicek(European Bioinformatics Institute), Antonella Galli(Wellcome Sanger Institute), Hamed Haseli Mashhadi(European Bioinformatics Institute), Martin Hrabě de Angelis(Helmholtz Zentrum München), Jong Kim(Daegu Gyeongbuk Institute of Science and Technology), K. C. Kent Lloyd(University of California, Davis), Colin McKerlie(Mount Sinai Hospital), Hugh W. Morgan(Mary Lyon Centre at MRC Harwell), Stephen A. Murray(Jackson Laboratory), Lauryl M. J. Nutter(Hospital for Sick Children), Patrick T. Reilly(Institut Clinique de la Souris), John R. Seavitt(Baylor College of Medicine), Je Kyung Seong(Seoul National University), Michelle Simon(Mary Lyon Centre at MRC Harwell), Hannah Wardle‐Jones(Wellcome Sanger Institute), Ann‐Marie Mallon(Mary Lyon Centre at MRC Harwell), Damian Smedley(Queen Mary University of London), Helen Parkinson(European Bioinformatics Institute)
Conservation Genetics
May 19, 2018
Cited by 132Open Access
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Abstract

The International Mouse Phenotyping Consortium (IMPC) is building a catalogue of mammalian gene function by producing and phenotyping a knockout mouse line for every protein-coding gene. To date, the IMPC has generated and characterised 5186 mutant lines. One-third of the lines have been found to be non-viable and over 300 new mouse models of human disease have been identified thus far. While current bioinformatics efforts are focused on translating results to better understand human disease processes, IMPC data also aids understanding genetic function and processes in other species. Here we show, using gorilla genomic data, how genes essential to development in mice can be used to help assess the potentially deleterious impact of gene variants in other species. This type of analyses could be used to select optimal breeders in endangered species to maintain or increase fitness and avoid variants associated to impaired-health phenotypes or loss-of-function mutations in genes of critical importance. We also show, using selected examples from various mammal species, how IMPC data can aid in the identification of candidate genes for studying a condition of interest, deliver information about the mechanisms involved, or support predictions for the function of genes that may play a role in adaptation. With genotyping costs decreasing and the continued improvements of bioinformatics tools, the analyses we demonstrate can be routinely applied.


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