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采用多变量孟德尔随机化方法,独立于体重指数,估计骨密度对骨关节炎风险的因果效应。

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

机构信息

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

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

出版信息

Int J Epidemiol. 2022 Aug 10;51(4):1254-1267. doi: 10.1093/ije/dyab251.

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.

摘要

目的

观察分析表明,骨密度(BMD)高是骨关节炎(OA)的危险因素;目前尚不清楚这是否代表因果关系还是共同病因,以及这些关系是否与体重指数(BMI)无关。我们进行了双向孟德尔随机化(MR)分析,以揭示 BMD、BMI 和 OA 之间的因果关系。

方法

采用两阶段最小二乘法回归生成单样本(1S)MR 估计值。加权等位基因评分作为每个暴露因素的工具变量。使用逆方差加权随机效应荟萃分析生成两样本(2S)MR 估计值。多变量 MR(MVMR)将 BMD 和 BMI 仪器纳入同一模型,确定了从 BMD 到 OA 的 BMI 独立的因果途径。使用加权股骨颈(FN)-BMD 和髋/膝关节 OA 汇总统计数据的潜在因果变量(LCV)分析,确定遗传相关性是否解释了 BMD 对 OA 的因果效应。

结果

1S-MR 提供了强有力的证据表明,足跟超声(eBMD)估计的 BMD 对髋部和膝部 OA 具有因果影响{比值比(OR)髋=1.28 [95%置信区间(CI)=1.05, 1.57],p=0.02,OR 膝=1.40 [95%CI=1.20, 1.63],p=3×10-5,OR 每标准偏差(SD)增加}。2S-MR 效应大小的方向一致。结果表明,eBMD 和 OA 之间的因果关系是双向的(β髋=1.10 [95%CI=0.36, 1.84],p=0.003,β膝=4.16 [95%CI=2.74, 5.57],p=8×10-9,β=SD 每增加一倍风险)。MVMR 确定了 eBMD 和髋/膝关节 OA 之间 BMI 独立的因果途径。LCV 表明,遗传相关性(即共同遗传病因)并不能完全解释 BMD 对髋/膝关节 OA 的因果效应。

结论

这些结果为 eBMD 对 OA 具有 BMI 独立的因果影响提供了证据。尽管存在双向效应的证据,但 BMD 对 OA 的影响似乎并非完全由共同遗传病因解释,这表明骨骼对关节恶化有直接作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58d8/9365636/39f8e92d1ccb/dyab251f1.jpg

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