Translational Analysis of Moderate to Severe Asthma GWAS Signals Into Candidate Causal Genes and Their Functional, Tissue-Dependent and Disease-Related Associations

被引:3
作者
Portelli, Michael A. [1 ]
Rakkar, Kamini [1 ]
Hu, Sile [2 ]
Guo, Yike [2 ]
Adcock, Ian M. [3 ]
Sayers, Ian [1 ]
机构
[1] Univ Nottingham, Nottingham Univ Biodiscovery Inst, Natl Inst Hlth Res, Ctr Resp Res,Translat Med Sci,Sch Med,Nottingham B, Nottingham, England
[2] Imperial Coll London, Data Sci Inst, London, England
[3] Imperial Coll London, Natl Heart & Lung Inst, London, England
来源
FRONTIERS IN ALLERGY | 2021年 / 2卷
基金
英国生物技术与生命科学研究理事会; 美国国家卫生研究院; 英国国家替代、减少和改良动物研究中心;
关键词
GWAS; causal genes; eQTL; SNP; moderate to severe asthma; GENOME-WIDE ASSOCIATION; BRONCHIAL EPITHELIAL-CELLS; ALVEOLAR-LAVAGE; RISK LOCI; EXPRESSION; POLYMORPHISMS; RESOURCE; PROTEIN; ORMDL3; STRESS;
D O I
10.3389/falgy.2021.738741
中图分类号
R392 [医学免疫学];
学科分类号
100102 ;
摘要
Asthma affects more than 300 million people globally and is both under diagnosed and under treated. The most recent and largest genome-wide association study investigating moderate to severe asthma to date was carried out in 2019 and identified 25 independent signals. However, as new and in-depth downstream databases become available, the translational analysis of these signals into target genes and pathways is timely. In this study, unique (U-BIOPRED) and publicly available datasets (HaploReg, Open Target Genetics and GTEx) were investigated for the 25 GWAS signals to identify 37 candidate causal genes. Additional traits associated with these signals were identified through PheWAS using the UK Biobank resource, with asthma and eosinophilic traits amongst the strongest associated. Gene expression omnibus dataset examination identified 13 candidate genes with altered expression profiles in the airways and blood of asthmatic subjects, including MUC5AC and STAT6. Gene expression analysis through publicly available datasets highlighted lung tissue cell specific expression, with both MUC5AC and SLC22A4 genes showing enriched expression in ciliated cells. Gene enrichment pathway and interaction analysis highlighted the dominance of the HLA-DQA1/A2/B1/B2 gene cluster across many immunological diseases including asthma, type I diabetes, and rheumatoid arthritis. Interaction and prediction analyses found IL33 and IL18R1 to be key co-localization partners for other genes, predicted that CD274 forms co-expression relationships with 13 other genes, including the HLA-DQA1/A2/B1/B2 gene cluster and that MUC5AC and IL37 are co-expressed. Drug interaction analysis revealed that 11 of the candidate genes have an interaction with available therapeutics. This study provides significant insight into these GWAS signals in the context of cell expression, function, and disease relationship with the view of informing future research and drug development efforts for moderate-severe asthma.
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页数:27
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