【摘要】 目的 采用两样本孟德尔随机化分析探究4项身体基本指数（基础代谢率、体脂率、BMI及臀围与重症肌无力（myasthenia gravis,MG）之间的因果关联。方法 在大型公开可检索的数据库中获取全基因关联分析汇总数据，选取4项身体基本指数作为暴露因素，MG作为结局因素，筛选出与暴露因素表型强相关的单核苷酸多态性作为工具变量，进行两样本孟德尔随机化分析，以评估暴露与疾病之间的潜在因果关系。结果 逆方差加权法分析结果显示，基础代谢率[OR=1.39,95%CI(1.00,1.93),P=0.047]、体脂率[OR=1.61,95%CI(1.06,2.44),P=0.024]、臀围[OR=1.67,95%CI(1.29,2.17),P<0.001]升高均会增加MG发病风险，但BMI与MG没有显著的因果关联。结论 基础代谢率、体脂率及臀围对MG存在致病效应，BMI与MG没有显著的因果关系。更多还原

【Abstract】 Objective A two-sample Mendelian randomization analysis was used to explore the causal associations between four basic body indices(basal metabolic rate, body fat percentage, BMI and hip circumference) and myasthenia gravis(MG). Methods Pooled gene-wide association study(GWAS) data were obtained from large publicly searchable databases, and four basic body indices were selected as the exposure factors and myasthenia gravis as the outcome factors, and single nucleotide polymorphisms(SNPs), which were strongly correlated with the phenotype of the exposure factors, were screened as the instrumental variables, and two-sample Mendelian randomization analyses were performed in order to assess the potential causal relationship between the exposure and the disease. Results Inverse variance weighting(IVW) analysis showed that increased basal metabolic rate(OR=1.39, 95%CI 1.00 to 1.93, P=0.047),body fat percentage(OR=1.61, 95%CI 1.06 to 2.44, P=0.024), and hip circumference(OR=1.67, 95%CI 1.29 to 2.17,P<0.001) increased the risk of MG. But there was no significant causal relationship between BMI and MG. Conclusion Basal metabolic rate, body fat percentage and hip circumference have a positive causal relationship with MG, while BMI does not have a significant causal relationship with MG.更多还原