ArticleBMC pulmonary medicine2020
Integrated genomics analysis highlights important SNPs and genes implicated in moderate-to-severe asthma based on GWAS and eQTL datasets.
Article in BMC pulmonary medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 26 citations in OpenAlex.
- Post-genome-wide association study variant-to-function challenges in asthma research.The Journal of allergy and clinical immunology · 2026Review
- Gngt2 promotes inflammatory dendritic cell programming through an ATG5-NF-κB signaling axis in neutrophilic asthma.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Systematic dissection of pleiotropic loci and critical regulons in excitatory neurons and microglia relevant to neuropsychiatric and ocular diseases.Translational psychiatry · 2025Article
- Multifaceted roles of mitochondria in asthma.Cell biology and toxicology · 2024Review
- Bioinformatics analysis of G protein subunit gamma transduction protein 2-autophagy axis in CD11b+ dendritic cells as a potential regulator to skew airway neutrophilic inflammation in asthma endotypes.Immunity, inflammation and disease · 2024Article
- Integration of human organoids single-cell transcriptomic profiles and human genetics repurposes critical cell type-specific drug targets for severe COVID-19.Cell proliferation · 2024Article
- Identification ofComputational and structural biotechnology journal · 2023Article
- COVID-GWAB: A Web-Based Prediction of COVID-19 Host Genes via Network Boosting of Genome-Wide Association Data.Biomolecules · 2022Article
- Epigenetic regulation of immune function in asthma.The Journal of allergy and clinical immunology · 2022Review
- Gene-Based Association Tests Using New Polygenic Risk Scores and Incorporating Gene Expression Data.Genes · 2022Article
- Comprehensive and integrative analyses identify TYW5 as a schizophrenia risk gene.BMC medicine · 2022Article
- Integrating single-cell sequencing data with GWAS summary statistics reveals CD16+monocytes and memory CD8+T cells involved in severe COVID-19.Genome medicine · 2022Article
- Single cell sequencing analysis identifies genetics-modulated ORMDL3Journal of nanobiotechnology · 2021Article
- Integrative genomics analysis reveals a 21q22.11 locus contributing risk to COVID-19.Human molecular genetics · 2021Article
- Translational Analysis of Moderate to Severe Asthma GWAS Signals Into Candidate Causal Genes and Their Functional, Tissue-Dependent and Disease-Related Associations.Frontiers in allergy · 2021Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundSevere asthma is a chronic disease contributing to disproportionate disease morbidity and mortality. From the year of 2007, many genome-wide association studies (GWAS) have documented a large number of asthma-associated genetic variants and related genes. Nevertheless, the molecular mechanism of these identified variants involved in asthma or severe asthma risk remains largely unknown.
methodsIn the current study, we systematically integrated 3 independent expression quantitative trait loci (eQTL) data (N = 1977) and a large-scale GWAS summary data of moderate-to-severe asthma (N = 30,810) by using the Sherlock Bayesian analysis to identify whether expression-related variants contribute risk to severe asthma. Furthermore, we performed various bioinformatics analyses, including pathway enrichment analysis, PPI network enrichment analysis, in silico permutation analysis, DEG analysis and co-expression analysis, to prioritize important genes associated with severe asthma.
resultsIn the discovery stage, we identified 1129 significant genes associated with moderate-to-severe asthma by using the Sherlock Bayesian analysis. Two hundred twenty-eight genes were prominently replicated by using MAGMA gene-based analysis. These 228 replicated genes were enriched in 17 biological pathways including antigen processing and presentation (Corrected P = 4.30 × 10
conclusionsOur current study provides multiple lines of evidence to support that these 11 identified genes as important candidates implicated in the pathogenesis of severe asthma.
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