Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index

Author:

Hartley April12ORCID,Sanderson Eleanor1ORCID,Granell Raquel1,Paternoster Lavinia1,Zheng Jie1,Smith George Davey1ORCID,Southam Lorraine3,Hatzikotoulas Konstantinos3,Boer Cindy G4,van Meurs Joyce4,Zeggini Eleftheria3,Stefánsdóttir Lilja,Zhang Yanfei,de Almeida Rodrigo Coutinho,Wu Tian T,Zheng Jie,Teder-Laving Maris,Skogholt Anne-Heidi,Terao Chikashi,Zengini Eleni,Alexiadis George,Barysenka Andrei,Bjornsdottir Gyda,Gabrielsen Maiken E,Gilly Arthur,Ingvarsson Thorvaldur,Johnsen Marianne B,Jonsson Helgi,Kloppenburg Margreet G,Luetge Almut,Mägi Reedik,Mangino Massimo,Nelissen Rob R G H H,Shivakumar Manu,Steinberg Julia,Takuwa Hiroshi,Thomas Laurent,Tuerlings Margo,Babis George,Cheung Jason Pui Yin,Samartzis Dino,Lietman Steve A,Slagboom P Eline,Stefansson Kari,Uitterlinden André G,Winsvold Bendik,Zwart John-Anker,Sham Pak Chung,Thorleifsson Gudmar,Gaunt Tom R,Morris Andrew P,Valdes Ana M,Tsezou Aspasia,Cheah Kathryn S E,Ikegawa Shiro,Hveem Kristian,Esko Tõnu,Wilkinson J Mark,Meulenbelt Ingrid,Lee Ming Ta Michael,Styrkársdóttir Unnur,Gregson Celia L2,Tobias Jon H12,

Affiliation:

1. MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK

2. Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK

3. Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany

4. Department of Internal Medicine and Epidemiology, Erasmus MC, Rotterdam, The Netherlands

Abstract

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.

Funder

Wellcome Trust

Versus Arthritis

University of Bristol

Academy of Medical Sciences (AMS) Springboard Award

Government Department of Business, Energy and Industrial Strategy

British Heart Foundation and Diabetes UK

University of Bristol and MRC

Publisher

Oxford University Press (OUP)

Subject

General Medicine,Epidemiology

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