4.7 Article

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

期刊

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
卷 51, 期 4, 页码 1254-1267

出版社

OXFORD UNIV PRESS
DOI: 10.1093/ije/dyab251

关键词

Osteoarthritis; bone mineral density; Mendelian randomization; body mass index; UK Biobank

资金

  1. Wellcome Trust [20378/Z/16/Z]
  2. Versus Arthritis [20000]
  3. University of Bristol
  4. Academy of Medical Sciences (AMS) Springboard Award
  5. Government Department of Business, Energy and Industrial Strategy (BEIS)
  6. British Heart Foundation
  7. Diabetes UK [SBF006\1117]
  8. MRC [MC_UU_00011/1, MC_UU_00011/4]
  9. Wellcome Trust
  10. University of Bristol [MC_UU_00011/1, MC_UU_00011/4]
  11. Medical Research Council [MC_UU_00011/4] Funding Source: researchfish

向作者/读者索取更多资源

Observational analyses suggest that high bone mineral density (BMD) is a risk factor for osteoarthritis (OA). This study uses Mendelian randomization to determine the causal pathways between BMD, BMI, and OA, and finds evidence for a BMI-independent causal effect of BMD on OA. Shared genetic aetiology does not fully explain the causal effects of BMD on OA, suggesting a direct action of bone on joint deterioration.
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 x 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 (beta(hip) = 1.10 [95% CI = 0.36, 1.84], p = 0.003, beta(knee) = 4.16 [95% CI = 2.74, 5.57], p = 8 x 10(-9), beta = 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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