Method: Instrumental variables for glutamine (N=114,750), citrulline (N=7,773), testosterone (N=425,097), lactate (N=114,802), and MG (N=355,142) and LOMG (N=34,930) were obtained from publicly available summary data of genome-wide association studies. The primary analysis method was inverse variance weighting, with MR-Egger regression and weighted median methods used to assess the robustness of causal effects. Sensitivity analyses were conducted to examine horizontal pleiotropy and the stability of the results. For significant findings, Bayesian colocalization analysis was performed to evaluate whether there are shared causal variants.
代谢物与重症肌无力因果关联：孟德尔随机化研究解析
本研究采用孟德尔随机化方法，基于大规模GWAS汇总数据，分析谷氨酰胺、瓜氨酸等代谢物与重症肌无力的因果关联。通过逆方差加权、MR-Egger回归等多重统计方法验证结果稳健性，为代谢调控机制研究提供循证依据。
与梅斯小智对话
