Trial reportAmerican journal of respiratory cell and molecular biology2017
A Multiomics Approach to Identify Genes Associated with Childhood Asthma Risk and Morbidity.
Trial report in American journal of respiratory cell and molecular biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 35 citations in OpenAlex.
- Integrating multi-omics data of childhood asthma using a deep association model.Fundamental research · 2024Article
- Genomics of Treatable Traits in Asthma.Genes · 2023Review
- Epigenetics, hypersensibility and asthma: what do we know so far?Clinics (Sao Paulo, Brazil) · 2023Review
- The application of multi-omics in the respiratory microbiome: Progresses, challenges and promises.Computational and structural biotechnology journal · 2023Review
- Protective effect of inhaled corticosteroid on children with asthma withFrontiers in pediatrics · 2022Article
- Could the Epigenetics of Eosinophils in Asthma and Allergy Solve Parts of the Puzzle?International journal of molecular sciences · 2021Review
- Whole-Genome Sequencing Identifies Novel Functional Loci Associated with Lung Function in Puerto Rican Youth.American journal of respiratory and critical care medicine · 2020Article
- Sputum IL-26 Is Overexpressed in Severe Asthma and Induces Proinflammatory Cytokine Production and Th17 Cell Generation: A Case-Control Study of Women.Journal of asthma and allergy · 2020Article
- The current state of omics technologies in the clinical management of asthma and allergic diseases.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2019Review
- Article
- DNA methylation and allergic sensitizations: A genome-scale longitudinal study during adolescence.Allergy · 2019Article
- Transcriptomics of atopy and atopic asthma in white blood cells from children and adolescents.The European respiratory journal · 2019Article
- DNA methylation in nasal epithelium, atopy, and atopic asthma in children: a genome-wide study.The Lancet. Respiratory medicine · 2019Article
- Epigenomics and Transcriptomics in the Prediction and Diagnosis of Childhood Asthma: Are We There Yet?Frontiers in pediatrics · 2019Review
- Article
- Multiomics Approach to Asthma: Navigating the Network.American journal of respiratory cell and molecular biology · 2017Article
- Genetic and Pathological Insights into the rs7216389 Polymorphism in Gasdermin B and Its Association with Childhood Asthma.Discoveries (Craiova, Romania)Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 3 countries.
Funding
Abstract
Childhood asthma is a complex disease. In this study, we aim to identify genes associated with childhood asthma through a multiomics "vertical" approach that integrates multiple analytical steps using linear and logistic regression models. In a case-control study of childhood asthma in Puerto Ricans (n = 1,127), we used adjusted linear or logistic regression models to evaluate associations between several analytical steps of omics data, including genome-wide (GW) genotype data, GW methylation, GW expression profiling, cytokine levels, asthma-intermediate phenotypes, and asthma status. At each point, only the top genes/single-nucleotide polymorphisms/probes/cytokines were carried forward for subsequent analysis. In step 1, asthma modified the gene expression-protein level association for 1,645 genes; pathway analysis showed an enrichment of these genes in the cytokine signaling system (n = 269 genes). In steps 2-3, expression levels of 40 genes were associated with intermediate phenotypes (asthma onset age, forced expiratory volume in 1 second, exacerbations, eosinophil counts, and skin test reactivity); of those, methylation of seven genes was also associated with asthma. Of these seven candidate genes, IL5RA was also significant in analytical steps 4-8. We then measured plasma IL-5 receptor α levels, which were associated with asthma age of onset and moderate-severe exacerbations. In addition, in silico database analysis showed that several of our identified IL5RA single-nucleotide polymorphisms are associated with transcription factors related to asthma and atopy. This approach integrates several analytical steps and is able to identify biologically relevant asthma-related genes, such as IL5RA. It differs from other methods that rely on complex statistical models with various assumptions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.