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A genome-wide association study identifies 5 loci associated with frozen shoulder and implicates diabetes as a causal risk factor

Author

Listed:
  • Harry D Green
  • Alistair Jones
  • Jonathan P Evans
  • Andrew R Wood
  • Robin N Beaumont
  • Jessica Tyrrell
  • Timothy M Frayling
  • Christopher Smith
  • Michael N Weedon

Abstract

Frozen shoulder is a painful condition that often requires surgery and affects up to 5% of individuals aged 40–60 years. Little is known about the causes of the condition, but diabetes is a strong risk factor. To begin to understand the biological mechanisms involved, we aimed to identify genetic variants associated with frozen shoulder and to use Mendelian randomization to test the causal role of diabetes. We performed a genome-wide association study (GWAS) of frozen shoulder in the UK Biobank using data from 10,104 cases identified from inpatient, surgical and primary care codes. We used data from FinnGen for replication and meta-analysis. We used one-sample and two-sample Mendelian randomization approaches to test for a causal association of diabetes with frozen shoulder. We identified five genome-wide significant loci. The most significant locus (lead SNP rs28971325; OR = 1.20, [95% CI: 1.16–1.24], p = 5x10-29) contained WNT7B. This variant was also associated with Dupuytren’s disease (OR = 2.31 [2.24, 2.39], p

Suggested Citation

  • Harry D Green & Alistair Jones & Jonathan P Evans & Andrew R Wood & Robin N Beaumont & Jessica Tyrrell & Timothy M Frayling & Christopher Smith & Michael N Weedon, 2021. "A genome-wide association study identifies 5 loci associated with frozen shoulder and implicates diabetes as a causal risk factor," PLOS Genetics, Public Library of Science, vol. 17(6), pages 1-13, June.
    • Handle: RePEc:plo:pgen00:1009577
    DOI: 10.1371/journal.pgen.1009577
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    References listed on IDEAS

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    1. Clare Bycroft & Colin Freeman & Desislava Petkova & Gavin Band & Lloyd T. Elliott & Kevin Sharp & Allan Motyer & Damjan Vukcevic & Olivier Delaneau & Jared O’Connell & Adrian Cortes & Samantha Welsh &, 2018. "The UK Biobank resource with deep phenotyping and genomic data," Nature, Nature, vol. 562(7726), pages 203-209, October.
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    1. Sophie A. Riesmeijer & Zoha Kamali & Michael Ng & Dmitriy Drichel & Bram Piersma & Kerstin Becker & Thomas B. Layton & Jagdeep Nanchahal & Michael Nothnagel & Ahmad Vaez & Hans Christian Hennies & Pau, 2024. "A genome-wide association meta-analysis implicates Hedgehog and Notch signaling in Dupuytren’s disease," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Michael T. H. Ng & Rowie Borst & Hamez Gacaferi & Sarah Davidson & Jessica E. Ackerman & Peter A. Johnson & Caio C. Machado & Ian Reekie & Moustafa Attar & Dylan Windell & Mariola Kurowska-Stolarska &, 2024. "A single cell atlas of frozen shoulder capsule identifies features associated with inflammatory fibrosis resolution," Nature Communications, Nature, vol. 15(1), pages 1-21, December.

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