Wang Biyan, Zhang Xiaoyu, Liu Di, Zhang Jie, Cao Mingyang, Tian Xin, Maranga Isinta Elijah, Meng Xiaoni, Tian Qiuyue, Tian Feifei, Cao Weijie, Wang Wei, Song Manshu, Wang Youxin
Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.
Front Genet. 2021 Feb 4;12:608714. doi: 10.3389/fgene.2021.608714. eCollection 2021.
The causal association of C-reactive protein (CRP) and fibrinogen on intracerebral hemorrhage (ICH) remains uncertain. We investigated the causal associations of CRP and fibrinogen with ICH using two-sample Mendelian randomization. We used single-nucleotide polymorphisms associated with CRP and fibrinogen as instrumental variables. The summary data on ICH were obtained from the International Stroke Genetics Consortium (1,545 cases and 1,481 controls). Two-sample Mendelian randomization estimates were performed to assess with inverse-variance weighted and sensitive analyses methods including the weighted median, the penalized weighted median, pleiotropy residual sum and outlier (MR-PRESSO) approaches. MR-Egger regression was used to explore the pleiotropy. The MR analyses indicated that genetically predicted CRP concentration was not associated with ICH, with an odds ratio (OR) of 1.263 (95% CI = 0.935-1.704, = 0.127). Besides, genetically predicted fibrinogen concentration was not associated with an increased risk of ICH, with an OR of 0.879 (95% CI = 0.060-18.281; = 0.933). No evidence of pleiotropic bias was detected by MR-Egger. The findings were overall robust in sensitivity analyses. Our findings did not support that CRP and fibrinogen are causally associated with the risk of ICH.
C反应蛋白(CRP)和纤维蛋白原与脑出血(ICH)之间的因果关系仍不明确。我们使用两样本孟德尔随机化方法研究了CRP和纤维蛋白原与ICH的因果关系。我们将与CRP和纤维蛋白原相关的单核苷酸多态性用作工具变量。ICH的汇总数据来自国际卒中遗传学联盟(1545例病例和1481例对照)。采用两样本孟德尔随机化估计,通过逆方差加权以及包括加权中位数、惩罚加权中位数、多效性残差和异常值(MR-PRESSO)方法在内的敏感性分析方法进行评估。使用MR-Egger回归来探究多效性。MR分析表明,基因预测的CRP浓度与ICH无关,比值比(OR)为1.263(95%置信区间=0.935-1.704,P=0.127)。此外,基因预测的纤维蛋白原浓度与ICH风险增加无关,OR为0.879(95%置信区间=0.060-18.281;P=0.933)。MR-Egger未检测到多效性偏倚的证据。在敏感性分析中,研究结果总体稳健。我们的研究结果不支持CRP和纤维蛋白原与ICH风险存在因果关系。