Department of Orthopedics, Department of Orthopedics, The Second People's Hospital of Yibin, Sichuan, 644000, China.
Health Management Center of Shandong Electric Power Central Hospital, Jinan, 250000, China.
Eat Weight Disord. 2023 Feb 15;28(1):11. doi: 10.1007/s40519-023-01538-3.
To determine the causal association between genetically predicted obesity and the risk of hip osteoarthritis.
We performed two-sample Mendelian randomization (MR) analysis to analyze the association between body mass index (BMI) and hip osteoarthritis using pooled-level genome-wide association study (GWAS) data. The inverse variance weighted (IVW), MR‒Egger, and weighted median methods were used to estimate the causal association. In addition, we applied the MR Steiger filtering method, MR robust adjusted profile score (MR.RAPS) methods, and the MR Pleiotropy RESidual Sum and Outlier (MR-PRESSO) global test to examine and address potential horizontal pleiotropy.
We found a causal relationship between genetically predicted BMI and the risk of hip osteoarthritis by the IVW method [OR = 1.45, 95% confidence interval (CI) = 1.04-2.00, P = 0.02]. In the sensitivity analysis, the results of the MR‒Egger and weighted median methods revealed similar estimations but with a wide CI with lower precision. The funnel plot, MR-Egger intercept, and MR-PRESSO all indicated the absence of a directional pleiotropic effect. In addition, no heterogeneity was observed in the present analysis. Therefore, the result of IVW is most suitable and reliable for the present MR analysis.
There is a causal relationship between obesity and a higher risk of hip osteoarthritis, suggesting that weight management may be an intervention for the prevention and management of hip osteoarthritis.
Bioinformatics, Basic science.
确定遗传预测肥胖与髋骨关节炎风险之间的因果关系。
我们进行了两样本 Mendelian 随机化 (MR) 分析，使用汇总水平全基因组关联研究 (GWAS) 数据来分析体重指数 (BMI) 与髋骨关节炎之间的关联。使用逆方差加权 (IVW)、MR-Egger 和加权中位数方法来估计因果关联。此外，我们应用了 MR Steiger 筛选方法、MR 稳健调整轮廓评分 (MR.RAPS) 方法和 MR 多效性残留总和和异常值 (MR-PRESSO) 全局检验，以检查和解决潜在的水平多效性。
我们通过 IVW 方法发现遗传预测 BMI 与髋骨关节炎风险之间存在因果关系[比值比 (OR) = 1.45, 95%置信区间 (CI) = 1.04-2.00, P = 0.02]。在敏感性分析中，MR-Egger 和加权中位数方法的结果显示出相似的估计，但置信区间较宽，精度较低。漏斗图、MR-Egger 截距和 MR-PRESSO 均表明不存在定向多效性效应。此外，本分析中未观察到异质性。因此，IVW 的结果最适合和可靠的目前的 MR 分析。
肥胖与髋骨关节炎风险增加之间存在因果关系，这表明体重管理可能是预防和管理髋骨关节炎的一种干预措施。
生物信息学，基础科学。
