| Literature DB >> 33473114 |
Graham R Williams1, J H Duncan Bassett2, Natalie C Butterfield3, Katherine F Curry3, Julia Steinberg4,5,6, Hannah Dewhurst3, Davide Komla-Ebri3, Naila S Mannan3, Anne-Tounsia Adoum3, Victoria D Leitch3, John G Logan3, Julian A Waung3, Elena Ghirardello3, Lorraine Southam4,5, Scott E Youlten7, J Mark Wilkinson8,9, Elizabeth A McAninch10, Valerie E Vancollie5, Fiona Kussy5, Jacqueline K White5,11, Christopher J Lelliott5, David J Adams5, Richard Jacques12, Antonio C Bianco13, Alan Boyde14, Eleftheria Zeggini4,5, Peter I Croucher7.
Abstract
Osteoarthritis causes debilitating pain and disability, resulting in a considerable socioeconomic burden, yet no drugs are available that prevent disease onset or progression. Here, we develop, validate and use rapid-throughput imaging techniques to identify abnormal joint phenotypes in randomly selected mutant mice generated by the International Knockout Mouse Consortium. We identify 14 genes with functional involvement in osteoarthritis pathogenesis, including the homeobox gene Pitx1, and functionally characterize 6 candidate human osteoarthritis genes in mouse models. We demonstrate sensitivity of the methods by identifying age-related degenerative joint damage in wild-type mice. Finally, we phenotype previously generated mutant mice with an osteoarthritis-associated polymorphism in the Dio2 gene by CRISPR/Cas9 genome editing and demonstrate a protective role in disease onset with public health implications. We hope this expanding resource of mutant mice will accelerate functional gene discovery in osteoarthritis and offer drug discovery opportunities for this common, incapacitating chronic disease.Entities:
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Year: 2021 PMID: 33473114 PMCID: PMC7817695 DOI: 10.1038/s41467-020-20761-5
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 17.694