Disease areas:
  • bones, joints and muscles
Last updated:
Author(s):
April Hartley, Eleanor Sanderson, Raquel Granell, Lavinia Paternoster, Jie Zheng, George Davey Smith, Lorraine Southam, Konstantinos Hatzikotoulas, Cindy G Boer, Joyce van Meurs, Eleftheria Zeggini, Lilja Stefánsdóttir, Yanfei Zhang, Rodrigo Coutinho de Almeida, Tian T Wu, Jie Zheng, Maris Teder-Laving, Anne-Heidi Skogholt, Chikashi Terao, Eleni Zengini, George Alexiadis, Andrei Barysenka, Gyda Bjornsdottir, Maiken E Gabrielsen, Arthur Gilly, Thorvaldur Ingvarsson, Marianne B Johnsen, Helgi Jonsson, Margreet G Kloppenburg, Almut Luetge, Reedik Mägi, Massimo Mangino, Rob R G H H Nelissen, Manu Shivakumar, Julia Steinberg, Hiroshi Takuwa, Laurent Thomas, Margo Tuerlings, George Babis, Jason Pui Yin Cheung, Dino Samartzis, Steve A Lietman, P Eline Slagboom, Kari Stefansson, André G Uitterlinden, Bendik Winsvold, John-Anker Zwart, Pak Chung Sham, Gudmar Thorleifsson, Tom R Gaunt, Andrew P Morris, Ana M Valdes, Aspasia Tsezou, Kathryn S E Cheah, Shiro Ikegawa, Kristian Hveem, Tõnu Esko, J Mark Wilkinson, Ingrid Meulenbelt, Ming Ta Michael Lee, Unnur Styrkársdóttir, Celia L Gregson, Jon H Tobias
Publish date:
13 December 2021
Journal:
International Journal of Epidemiology
PubMed ID:
34897459

Abstract

OBJECTIVES: Observational analyses suggest that high bone mineral density (BMD) is a risk factor for osteoarthritis (OA); it is unclear whether this represents a causal effect or shared aetiology and whether these relationships are body mass index (BMI)-independent. We performed bidirectional Mendelian randomization (MR) to uncover the causal pathways between BMD, BMI and OA.

METHODS: One-sample (1S)MR estimates were generated by two-stage least-squares regression. Unweighted allele scores instrumented each exposure. Two-sample (2S)MR estimates were generated using inverse-variance weighted random-effects meta-analysis. Multivariable MR (MVMR), including BMD and BMI instruments in the same model, determined the BMI-independent causal pathway from BMD to OA. Latent causal variable (LCV) analysis, using weight-adjusted femoral neck (FN)-BMD and hip/knee OA summary statistics, determined whether genetic correlation explained the causal effect of BMD on OA.

RESULTS: 1SMR provided strong evidence for a causal effect of BMD estimated from heel ultrasound (eBMD) on hip and knee OA {odds ratio [OR]hip = 1.28 [95% confidence interval (CI) = 1.05, 1.57], p = 0.02, ORknee = 1.40 [95% CI = 1.20, 1.63], p = 3 × 10-5, OR per standard deviation [SD] increase}. 2SMR effect sizes were consistent in direction. Results suggested that the causal pathways between eBMD and OA were bidirectional (βhip = 1.10 [95% CI = 0.36, 1.84], p = 0.003, βknee = 4.16 [95% CI = 2.74, 5.57], p = 8 × 10-9, β = SD increase per doubling in risk). MVMR identified a BMI-independent causal pathway between eBMD and hip/knee OA. LCV suggested that genetic correlation (i.e. shared genetic aetiology) did not fully explain the causal effects of BMD on hip/knee OA.

CONCLUSIONS: These results provide evidence for a BMI-independent causal effect of eBMD on OA. Despite evidence of bidirectional effects, the effect of BMD on OA did not appear to be fully explained by shared genetic aetiology, suggesting a direct action of bone on joint deterioration.

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Institution:
University of Bristol, Great Britain

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