Objective: Osteoarthritis (OA) is one of the major disabling human diseases. The related studies indicate a potential correlation between walking and OA. However, there is still a lack of evidence in genetics to support the correlation between walking and OA. Therefore, this study aimed to explore the relationship between walking and OA at the genetic level.
Methods: The publicly available Genome Wide Association Study (GWAS) data were used, with inverse variance weighting (IVW, the random-effects model) as the main analysis method, whereas MR-Egger, Weighted median, Simple mode, and Weighted mode as the secondary analysis methods. In addition, Cochran’s Q test, pleiotropy test, and MR-Egger intercept test were conducted to examine the heterogeneity and pleiotropy of the outcome.
Results: In the MR analysis, IVW results showed a negative correlation between types of physical activity in last 4 weeks: Walking for pleasure (not as a means of transport) and OA (KOA or HOA) (odds ratio (OR) = 0.3224, 95% confidence interval (CI): 0.1261 to 0.8243), and the difference was of statistical significance (P = 0.0181). Moreover, IVW results also revealed a negative correlation between types of physical activity in last 4 weeks: Walking for pleasure (not as a means of transport) and KOA (OR = 0.1396, 95% CI: 0.0484 to 0.4026), and the difference was statistically significant (P = 0.0003). However, IVW results did not demonstrate any statistical significance types of physical activity in last 4 weeks: Walking for pleasure (not as a means of transport) and HOA (OR = 1.2075, 95% CI: 0.1978 to 7.3727, P = 0.8381).
Conclusion: From genetic studies, types of physical activity in last 4 weeks: Walking for pleasure (not as a means of transport) is negatively correlated with knee osteoarthritis (KOA), but there is no clear evidence supporting its correlation with hip osteoarthritis (HOA).

Keywords: osteoarthritis, walking, Mendelian randomization


中文翻译：

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步行与骨关节炎有关联吗？二样本孟德尔随机化分析

【摘要】：目的:骨关节炎(OA)是人类主要致残疾病之一。相关研究表明步行与骨关节炎之间存在潜在的相关性。然而，仍然缺乏遗传学证据支持步行与骨关节炎之间的相关性。因此，本研究旨在从基因水平探讨步行与OA的关系。
方法：采用公开的全基因组关联研究（GWAS）数据，以逆方差加权（IVW，随机效应模型）为主要分析方法，MR-Egger、加权中位数、简单模式、加权模式为分析方法。二次分析方法。此外，还进行了Cochran's Q检验、多效性检验和MR-Egger截距检验来检查结果的异质性和多效性。
结果：在 MR 分析中，IVW 结果显示过去 4 周的身体活动类型之间呈负相关：为了娱乐而步行（不是作为交通工具）和 OA（KOA 或 HOA）（比值比 (OR) = 0.3224， 95%置信区间（CI）：0.1261至0.8243），差异具有统计学意义（P=0.0181）。此外，IVW结果还显示，过去4周的体力活动类型之间存在负相关：为了娱乐而步行（不是作为交通工具）和KOA（OR = 0.1396，95% CI：0.0484至0.4026），差异为具有统计学意义（P = 0.0003）。然而，IVW 结果并未显示出过去 4 周内任何具有统计显着性的体力活动类型：休闲步行（不是作为交通工具）和 HOA（OR = 1.2075，95% CI：0.1978 至 7.3727，P = 0.8381）。
结论：从遗传学研究来看，最近 4 周的体力活动类型：为了快乐而步行（不是作为交通工具）与膝骨关节炎（KOA）呈负相关，但没有明确的证据支持其与髋骨关节炎（HOA）的相关性。 ）。

关键词：骨关节炎，步行，孟德尔随机化