孟德尔随机化
医学
优势比
内科学
全基因组关联研究
肾病
置信区间
单核苷酸多态性
遗传学
糖尿病
内分泌学
生物
基因型
遗传变异
基因
作者
Shaoyi Peng,Kaiyuan Li,Lei Han,Pengpeng Liu
出处
期刊:Medicine
[Wolters Kluwer]
日期:2025-07-18
卷期号:104 (29): e43247-e43247
标识
DOI:10.1097/md.0000000000043247
摘要
The potential causal relationship between genetic susceptibility to multiple sclerosis (MS) and the risk of kidney diseases remains unclear. Understanding this association may provide new insights into comorbidity mechanisms and improve clinical risk assessment. A two-sample Mendelian randomization (MR) analysis was conducted using single nucleotide polymorphisms significantly associated with MS as instrumental variables. Genetic data were derived from genome-wide association studies comprising 115,803 individuals for MS and up to 218,792 individuals for renal diseases. Outcomes included nephrotic syndrome, glomerulonephritis, tubulointerstitial nephritis, and diabetic nephropathy. Causal estimates were calculated using inverse variance weighted, MR-Egger, weighted median, and simple mode methods. Pleiotropy and heterogeneity were assessed using MR-Egger intercept and Mendelian Randomization Pleiotropy RESidual Sum and Outlier tests. Inverse variance weighted analysis indicated a positive association between genetic liability to MS and nephrotic syndrome (odds ratio = 1.14, 95% confidence interval: 1.03–1.26; P = .009), and a negative association with diabetic nephropathy (odds ratio = 0.83, 95% confidence interval: 0.73–0.95; P = .006). No significant associations were found with glomerulonephritis or tubulointerstitial nephritis. Sensitivity analyses revealed no evidence of directional pleiotropy or influential outliers. Genetic predisposition to MS may increase the risk of nephrotic syndrome while reducing the risk of diabetic nephropathy. These findings suggest shared immunogenetic mechanisms and highlight the importance of renal surveillance in MS management.
科研通智能强力驱动
Strongly Powered by AbleSci AI