Zhang Zi-Jia, Qu Hong-Lei, Zhao Na, Wang Jing, Wang Xiu-Yan, Hai Rong, Li Bin
Department of General Surgery, Suzhou Ninth People's Hospital, Suzhou, China.
Inner Mongolia Medical University, Hohhot, China.
Front Genet. 2021 Feb 18;12:631061. doi: 10.3389/fgene.2021.631061. eCollection 2021.
Recent studies have shown that the gut microbiota is closely related to the pathogenesis of Inflammatory Bowel Disease (IBD), but the causal nature is largely unknown. The purpose of this study was to assess the causal relationship between intestinal bacteria and IBD and to identify specific pathogenic bacterial taxa via the Mendelian randomization (MR) analysis.
MR analysis was performed on genome-wide association study (GWAS) summary statistics of gut microbiota and IBD. Specifically, the TwinsUK microbiota GWAS ( = 1,126 twin pairs) was used as exposure. The UK inflammatory bowel disease (UKIBD) and the Understanding Social Program (USP) study GWAS ( = 48,328) was used as discovery outcome, and the British IBD study ( = 35,289) was used as replication outcome. SNPs associated with bacteria abundance at the suggestive significance level (α = 1.0 × 10) were used as instrumental variables. Bacteria were grouped into families and genera.
In the discovery sample, a total of 30 features were available for analysis, including 15 families and 15 genera. Three features were nominally significant, including one family (, 2 IVs, beta = -0.04, = 0.05) and two genera (, 2 IVs, beta = 0.04, = 0.05; , 2 IVs, beta = -0.07, = 0.04). All of them were successfully replicated in the replication sample ( and = 0.02, = 0.01) with consistent effect direction.
We identified specific pathogenic bacteria features that were causally associated with the risk of IBD, thus offering new insights into the prevention and diagnosis of IBD.
近期研究表明,肠道微生物群与炎症性肠病(IBD)的发病机制密切相关,但其因果关系在很大程度上尚不清楚。本研究旨在通过孟德尔随机化(MR)分析评估肠道细菌与IBD之间的因果关系,并确定特定的致病细菌分类群。
对肠道微生物群和IBD的全基因组关联研究(GWAS)汇总统计数据进行MR分析。具体而言,将TwinsUK微生物群GWAS(n = 1,126对双胞胎)用作暴露因素。将英国炎症性肠病(UKIBD)和理解社会项目(USP)研究GWAS(n = 48,328)用作发现结果,将英国IBD研究(n = 35,289)用作重复结果。将在提示性显著水平(α = 1.0×10)下与细菌丰度相关的单核苷酸多态性(SNP)用作工具变量。细菌被分为科和属。
在发现样本中,共有30个特征可供分析,包括15个科和15个属。三个特征具有名义显著性,包括一个科(n = 2个IV,β = -0.04,P = 0.05)和两个属(n = 2个IV,β = 0.04,P = 0.05;n = 2个IV,β = -0.07,P = 0.04)。所有这些特征在重复样本中均成功重复(P分别为0.02和0.01),且效应方向一致。
我们确定了与IBD风险存在因果关系的特定致病细菌特征,从而为IBD的预防和诊断提供了新的见解。