1 Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas.
2 Cystic Fibrosis/Pulmonary Research and Treatment Center, Marsico Lung Institute, School of Medicine, and.
Am J Respir Crit Care Med. 2018 Jan 1;197(1):79-93. doi: 10.1164/rccm.201701-0134OC.
The severity of cystic fibrosis (CF) lung disease varies widely, even for Phe508del homozygotes. Heritability studies show that more than 50% of the variability reflects non-cystic fibrosis transmembrane conductance regulator (CFTR) genetic variation; however, the full extent of the pertinent genetic variation is not known.
We sought to identify novel CF disease-modifying mechanisms using an integrated approach based on analyzing "in vivo" CF airway epithelial gene expression complemented with genome-wide association study (GWAS) data.
Nasal mucosal RNA from 134 patients with CF was used for RNA sequencing. We tested for associations of transcriptomic (gene expression) data with a quantitative phenotype of CF lung disease severity. Pathway analysis of CF GWAS data (n = 5,659 patients) was performed to identify novel pathways and assess the concordance of genomic and transcriptomic data. Association of gene expression with previously identified CF GWAS risk alleles was also tested.
Significant evidence of heritable gene expression was identified. Gene expression pathways relevant to airway mucosal host defense were significantly associated with CF lung disease severity, including viral infection, inflammation/inflammatory signaling, lipid metabolism, apoptosis, ion transport, Phe508del CFTR processing, and innate immune responses, including HLA (human leukocyte antigen) genes. Ion transport and CFTR processing pathways, as well as HLA genes, were identified across differential gene expression and GWAS signals.
Transcriptomic analyses of CF airway epithelia, coupled to genomic (GWAS) analyses, highlight the role of heritable host defense variation in determining the pathophysiology of CF lung disease. The identification of these pathways provides opportunities to pursue targeted interventions to improve CF lung health.
囊性纤维化(CF)肺部疾病的严重程度差异很大,即使是 Phe508del 纯合子也是如此。遗传研究表明,超过 50%的变异性反映了非囊性纤维化跨膜电导调节因子(CFTR)的遗传变异;然而,相关遗传变异的全部程度尚不清楚。
我们试图通过基于分析“体内”CF 气道上皮基因表达的综合方法,结合全基因组关联研究(GWAS)数据,来确定新的 CF 疾病修饰机制。
使用 134 名 CF 患者的鼻黏膜 RNA 进行 RNA 测序。我们测试了转录组(基因表达)数据与 CF 肺部疾病严重程度的定量表型之间的关联。对 CF GWAS 数据(n=5659 名患者)进行了途径分析,以确定新的途径,并评估基因组和转录组数据的一致性。还测试了基因表达与先前确定的 CF GWAS 风险等位基因的关联。
确定了具有遗传力的基因表达的显著证据。与 CF 肺部疾病严重程度显著相关的气道黏膜宿主防御相关的基因表达途径包括病毒感染、炎症/炎症信号、脂质代谢、细胞凋亡、离子转运、Phe508del CFTR 加工和先天免疫反应,包括 HLA(人类白细胞抗原)基因。离子转运和 CFTR 加工途径以及 HLA 基因在差异基因表达和 GWAS 信号中都有发现。
CF 气道上皮的转录组分析,加上基因组(GWAS)分析,突出了遗传宿主防御变异在确定 CF 肺部疾病病理生理学中的作用。这些途径的确定为寻求改善 CF 肺部健康的靶向干预提供了机会。