Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA.
Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of California at San Francisco, San Francisco, CA, USA.
J Asthma. 2023 Oct;60(10):1824-1835. doi: 10.1080/02770903.2023.2193631. Epub 2023 Apr 21.
Genome-wide association studies (GWASs) have identified single nucleotide polymorphisms (SNPs) in chr11p15.5 region associated with asthma and idiopathic interstitial pneumonias (IIPs). We sought to identify functional genes for asthma by combining SNPs and mRNA expression in bronchial epithelial cells (BEC) in the Severe Asthma Research Program (SARP).
Correlation analyses of mRNA expression of six candidate genes (, , , , , and ) and asthma phenotypes were performed in the longitudinal cohort ( = 156) with RNAseq in BEC, and replicated in the cross-sectional cohort ( = 155). eQTL ( = 114) and genetic association analysis of asthma severity (426 severe vs. 531 non-severe asthma) were performed, and compared with previously published GWASs of IIPs and asthma.
Higher expression of and and lower expression of in BEC were correlated with asthma, asthma exacerbations, and T2 biomarkers ( < 0.01). SNPs associated with asthma and IIPs in previous GWASs were eQTL SNPs for , , or , however, they were not in strong linkage disequilibrium. The risk alleles for asthma or protective alleles for IIPs were associated with higher expression of and lower expression of . rs11603634, rs12788104, and rs28415845 associated with moderate-to-severe asthma or adult onset asthma in previous GWASs were not associated with asthma severity ( > 0.8).
SNPs associated with asthma in chr11p15.5 region are not associated with asthma severity neither with IIPs. Higher expression of and lower expression of are risk for asthma but protective for IIPs.
全基因组关联研究(GWAS)已经鉴定出与哮喘和特发性间质性肺炎(IIP)相关的 11p15.5 区域的单核苷酸多态性(SNP)。我们试图通过结合严重哮喘研究计划(SARP)中支气管上皮细胞(BEC)中的 SNP 和 mRNA 表达来鉴定哮喘的功能基因。
在 BEC 进行 RNAseq 的纵向队列(n=156)中,对六个候选基因(、、、、和)的 mRNA 表达与哮喘表型进行相关分析,并在横断面队列(n=155)中进行复制。进行了 eQTL(n=114)和哮喘严重程度的遗传关联分析(426 例严重 vs. 531 例非严重哮喘),并与先前发表的 IIP 和哮喘 GWAS 进行了比较。
BEC 中更高的表达和更低的表达与哮喘、哮喘加重和 T2 生物标志物相关(p<0.01)。先前 GWAS 中与哮喘和 IIP 相关的 SNP 是、或的 eQTL SNP,但它们之间没有强连锁不平衡。哮喘的风险等位基因或 IIP 的保护性等位基因与更高的表达和更低的表达相关。先前 GWAS 中与中度至重度哮喘或成人发病哮喘相关的 rs11603634、rs12788104 和 rs28415845 与哮喘严重程度无关(p>0.8)。
与 11p15.5 区域哮喘相关的 SNP 与哮喘严重程度或 IIP 均无关。更高的表达和更低的表达是哮喘的风险因素,但对 IIP 是保护因素。