Peloquin Joanna M, Goel Gautam, Kong Lingjia, Huang Hailiang, Haritunians Talin, Sartor R Balfour, Daly Mark J, Newberry Rodney D, McGovern Dermot P, Yajnik Vijay, Lira Sergio A, Xavier Ramnik J
Gastrointestinal Unit and Center for the Study of Inflammatory Bowel Disease.
Center for Computational and Integrative Biology.
JCI Insight. 2016 Aug 18;1(13):e87899. doi: 10.1172/jci.insight.87899.
GWAS have linked SNPs to risk of inflammatory bowel disease (IBD), but a systematic characterization of disease-associated genes has been lacking. Prior studies utilized microarrays that did not capture many genes encoded within risk loci or defined expression quantitative trait loci (eQTLs) using peripheral blood, which is not the target tissue in IBD. To address these gaps, we sought to characterize the expression of IBD-associated risk genes in disease-relevant tissues and in the setting of active IBD. Terminal ileal (TI) and colonic mucosal tissues were obtained from patients with Crohn's disease or ulcerative colitis and from healthy controls. We developed a NanoString code set to profile 678 genes within IBD risk loci. A subset of patients and controls were genotyped for IBD-associated risk SNPs. Analyses included differential expression and variance analysis, weighted gene coexpression network analysis, and eQTL analysis. We identified 116 genes that discriminate between healthy TI and colon samples and uncovered patterns in variance of gene expression that highlight heterogeneity of disease. We identified 107 coexpressed gene pairs for which transcriptional regulation is either conserved or reversed in an inflammation-independent or -dependent manner. We demonstrate that on average approximately 60% of disease-associated genes are differentially expressed in inflamed tissue. Last, we identified eQTLs with either genotype-only effects on expression or an interaction effect between genotype and inflammation. Our data reinforce tissue specificity of expression in disease-associated candidate genes, highlight genes and gene pairs that are regulated in disease-relevant tissue and inflammation, and provide a foundation to advance the understanding of IBD pathogenesis.
全基因组关联研究(GWAS)已将单核苷酸多态性(SNP)与炎症性肠病(IBD)的风险联系起来,但一直缺乏对疾病相关基因的系统表征。先前的研究使用的微阵列无法捕获风险位点内编码的许多基因,或者使用外周血定义表达数量性状位点(eQTL),而外周血并非IBD的靶组织。为了填补这些空白,我们试图表征IBD相关风险基因在疾病相关组织以及活动期IBD中的表达。从克罗恩病或溃疡性结肠炎患者以及健康对照中获取末端回肠(TI)和结肠黏膜组织。我们开发了一个NanoString编码集,以分析IBD风险位点内的678个基因。对一部分患者和对照进行IBD相关风险SNP的基因分型。分析包括差异表达和方差分析、加权基因共表达网络分析以及eQTL分析。我们鉴定出116个可区分健康TI和结肠样本的基因,并发现了基因表达方差模式,突出了疾病的异质性。我们鉴定出107对共表达基因对,其转录调控在炎症非依赖性或依赖性方式下是保守的或相反的。我们证明,平均约60%的疾病相关基因在炎症组织中差异表达。最后,我们鉴定出对表达仅有基因型效应或基因型与炎症之间存在相互作用效应的eQTL。我们的数据强化了疾病相关候选基因表达的组织特异性,突出了在疾病相关组织和炎症中受到调控的基因和基因对,并为推进对IBD发病机制的理解提供了基础。