Zhang Ming-Chen, Lin An, Sang Zhi-Cheng, Ge Lin
Beijing University of Chinese Medicine, Beijing 100029, China.
Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing 100102, China.
Zhongguo Gu Shang. 2024 Sep 25;37(9):904-9. doi: 10.12200/j.issn.1003-0034.20230868.
To explore causal relationship between atopic diseases (asthma and atopic dermatitis) and osteoarthritis (OA) by using mendelian randomization(MR).
Asthma and atopic dermatitis as instrumental variables were selected, searched them through IEU database, and selected the latest data with a large number of cases and single nucleotide polymorphism (SNP). Data were collected and processed using R language, inverse varianceweighted (IVW) method was adopted as main MR Evaluation method. Single linear regression was performed to estimate causality based on pooled knee and hip data from genome-wide association studies (GWAS). The forest map was drawn to visualize the results, and gene pleiotropy and sensitivity were analyzed by scatter plot and funnel plot. At the same time, asthma, atopic dermatitis, body mass index (BMI), osteoporosis and OA were selected for multivariate MR Analysis to exclude the effect of horizontal pleiotropy on the results in GWAS data.
Analysis of MR-IVW results showed asthma was positively correlated with causal effect of OA [=1.41, 95%(1.07, 1.85), =0.02], multivariate Mendelian randomization (MVMR) adjusted for BMI and osteoporosis and a direct causal effect on OA was observed [=1.57, 95%(1.03, 2.39), =0.03)]. MR Results of two samples of atopic dermatitis and OA were [=1.01, 95%(0.97, 1.04), =0.76], and MVMR results were [=1.02, 95%(0.99, 1.05), =0.25], indicating no clear causal relationship between two samples.
Asthma could increase risk of OA, atopic dermatitis has no obvious relationship with OA, and the relationship between atopic diseases and OA still needs to be discussed.
采用孟德尔随机化(MR)方法探讨特应性疾病(哮喘和特应性皮炎)与骨关节炎(OA)之间的因果关系。
选择哮喘和特应性皮炎作为工具变量,通过IEU数据库进行检索,并选取病例数多且具有单核苷酸多态性(SNP)的最新数据。使用R语言收集和处理数据,采用逆方差加权(IVW)法作为主要的MR评估方法。基于全基因组关联研究(GWAS)的合并膝关节和髋关节数据进行单线性回归以估计因果关系。绘制森林图以直观呈现结果,并通过散点图和漏斗图分析基因多效性和敏感性。同时,选取哮喘、特应性皮炎、体重指数(BMI)、骨质疏松症和OA进行多变量MR分析,以排除水平多效性对GWAS数据结果的影响。
MR-IVW结果分析显示,哮喘与OA的因果效应呈正相关[=1.41,95%(1.07,1.85),=0.02],在对BMI和骨质疏松症进行调整的多变量孟德尔随机化(MVMR)中观察到对OA有直接因果效应[=1.57,95%(1.03,2.39),=0.03]。特应性皮炎和OA的两个样本的MR结果为[=1.01,95%(0.97,1.04),=0.76],MVMR结果为[=1.02,95%(0.99,1.05),=0.25],表明两个样本之间无明确因果关系。
哮喘可能增加OA风险,特应性皮炎与OA无明显关系,特应性疾病与OA之间的关系仍需进一步探讨。