Potential Causal Relationship between Faster Walking Pace and Reduced Migraine Risk: A Mendelian Randomization Study

Xueen Liu, Jiale Zhang
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Abstract

Objectives: Prior observational studies have suggested a potential association between the usual walking pace and migraine. In the present study, we utilized Mendelian randomization (MR) to investigate the presence of causality and elucidate the specific causal relationship between these two variables. Methods: We performed a genome-wide association study on a population of 499,562 individuals of European ancestry, which revealed 34 genetic variants that exhibited a strong association with the usual walking pace. Additionally, we obtained summary statistics for genome-wide association studies on migraine from several sources. To assess the causal estimates, we employed the random effects inverse variance weighted method (IVW) and several other Mendelian randomizations (MR) methods, including MR-Egger, weighted median, Simple mode, Weighted mode, and MR-PRESSO, to confirm the robustness of our results. Results: Our analysis demonstrated a strong causal association between genetically predicted usual walking pace and a decreased risk of migraine, as determined by inverse variance weighted analysis (odds ratio = 0.33; 95% CI = 0.17 to 0.63; P < 0.001). This association was consistently observed across our investigation's various Mendelian randomization (MR) methods. Conclusions: This study supports a potential causal association between increased walking speed and a decreased risk of migraine.
加快步行速度与降低偏头痛风险之间的潜在因果关系:孟德尔随机研究
研究目的先前的观察性研究表明,通常的步行速度与偏头痛之间存在潜在联系。在本研究中,我们利用孟德尔随机法(MR)调查了这两个变量之间是否存在因果关系,并阐明了这两个变量之间的具体因果关系:我们对 499,562 名欧洲血统的人群进行了全基因组关联研究,结果发现 34 个遗传变异与通常的步行速度有密切关系。此外,我们还从多个来源获得了偏头痛全基因组关联研究的汇总统计数据。为了评估因果关系估计值,我们采用了随机效应反方差加权法(IVW)和其他几种孟德尔随机化(MR)方法,包括MR-Egger、加权中位数、简单模式、加权模式和MR-PRESSO,以确认我们结果的稳健性:我们的分析表明,通过逆方差加权分析确定的遗传预测通常步行速度与偏头痛风险降低之间存在密切的因果关系(几率比=0.33;95% CI=0.17至0.63;P< 0.001)。在我们调查的各种孟德尔随机化(MR)方法中,都能持续观察到这种关联:本研究证实,步行速度的提高与偏头痛风险的降低之间存在潜在的因果关系。
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