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Accelerating functional gene discovery in osteoarthritis
Natalie C Butterfield,
Katherine F Curry,
Naila S Mannan,
Victoria D Leitch,
John G Logan,
Julian A Waung,
Scott E Youlten,
Jeremy Mark Wilkinson,
Elizabeth A McAninch,
Valerie E Vancollie,
Jacqueline K White,
David J. Adams,
Christopher J Lelliott,
Antonio C Bianco,
Peter I Croucher,
Graham R Williams,
John Howard Duncan Bassett
Posted 10 Nov 2019
bioRxiv DOI: 10.1101/836221
Posted 10 Nov 2019
Osteoarthritis causes debilitating pain and disability, resulting in a huge 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 unselected 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 generate 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. This expanding resource of unselected mutant mice will transform the field by accelerating functional gene discovery in osteoarthritis and offering unanticipated drug discovery opportunities for this common and incapacitating chronic disease.
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