medRxivGenetic & Genomic MedicinePreprint
Potential Causal Relationship between Faster Walking Pace and Reduced Migraine Risk: A Mendelian Randomization Study
Abstract
ObjectivesPrior 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. MethodsWe 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. ResultsOur 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 investigations various Mendelian randomization (MR) methods. ConclusionsThis study supports a potential causal association between increased walking speed and a decreased risk of migraine. HighlightO_LIThis study used MR to investigate the causal relationship between the usual walking pace and migraine. C_LIO_LIA genome-wide association study identified 34 genetic variants strongly associated with the usual walking pace in a European population. C_LIO_LIMultiple MR methods confirmed a consistent causal association between genetically predicted usual walking pace and decreased migraine risk. C_LIO_LIIncreasing walking speed may reduce the risk of migraine. C_LI
- organism: human
- assay: electronic health records
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
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