The genetic architecture of osteoarthritis: insights from UK Biobank
Fernando P. Hartwig,
Cindy G Boer,
George C. Babis,
Andre G Uitterlinden,
Joyce B. J. van Meurs,
George Davey Smith,
Mark J. Wilkinson,
Posted 11 Aug 2017
bioRxiv DOI: 10.1101/174755 (published DOI: 10.1038/s41588-018-0079-y)
Posted 11 Aug 2017
Osteoarthritis is a common complex disease with huge public health burden. Here we perform a genome-wide association study for osteoarthritis using data across 16.5 million variants from the UK Biobank resource. Following replication and meta-analysis in up to 30,727 cases and 297,191 controls, we report 9 new osteoarthritis loci, in all of which the most likely causal variant is non-coding. For three loci, we detect association with biologically-relevant radiographic endophenotypes, and in five signals we identify genes that are differentially expressed in degraded compared to intact articular cartilage from osteoarthritis patients. We establish causal effects for higher body mass index, but not for triglyceride levels or type 2 diabetes liability, on osteoarthritis.
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