Department of Neurology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Clinical Data Centre, Third Affiliated Hospital of Sun Yat- Sen University, Guangzhou, China.
Metab Brain Dis. 2022 Aug;37(6):1855-1861. doi: 10.1007/s11011-022-00973-y. Epub 2022 May 11.
To determine the relationship between basal metabolic rate (BMR) and multiple sclerosis (MS) susceptibility, we analyzed genome-wide association study (GWAS) summary statistics data from the International Multiple Sclerosis Genetics Consortium on a total of 115,803 participants of European descent, including 47,429 patients with MS and 68,374 controls. We selected 378 independent genetic variants strongly associated with BMR in a GWAS involving 454,874 participants as instrumental variables to examine a potential causal relationship between BMR and MS. A genetically predicted higher BMR was associated with a greater risk of MS (odds ratio [OR]: 1.283 per one standard deviation increase in BMR, 95% confidence interval [CI]: 1.108-1.486, P = 0.001). Moreover, we used the lasso method to eliminate heterogeneity (Q statistic = 384.58, P = 0.370). There was no pleiotropy in our study and no bias was found in the sensitivity analysis using the leave-one-out test. We provide novel evidence that a higher BMR is an independent causal risk factor in the development of MS. Further work is warranted to elucidate the potential mechanisms.
为了确定基础代谢率(BMR)与多发性硬化症(MS)易感性之间的关系,我们分析了国际多发性硬化症遗传学联合会(IMSGC)在总计 115803 名欧洲血统参与者中进行的全基因组关联研究(GWAS)汇总统计数据,其中包括 47429 名 MS 患者和 68374 名对照者。我们选择了 378 个在涉及 454874 名参与者的 GWAS 中与 BMR 强烈相关的独立遗传变异作为工具变量,以检验 BMR 和 MS 之间潜在的因果关系。遗传预测的更高 BMR 与 MS 的风险增加相关(优势比 [OR]:BMR 每增加一个标准差,风险增加 1.283,95%置信区间 [CI]:1.108-1.486,P=0.001)。此外,我们使用套索法消除了异质性(Q 统计量=384.58,P=0.370)。在我们的研究中没有发现多效性,也没有在使用遗漏值检验的敏感性分析中发现偏差。我们提供了新的证据表明,较高的 BMR 是 MS 发展的一个独立的因果风险因素。进一步的研究是必要的,以阐明潜在的机制。