Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of Hub Genes and Potential Biomarkers for Childhood Asthma by Utilizing an Established Bioinformatic Analysis Approach

16 Sept 2022

Abstract excerpt

Childhood asthma represents a heterogeneous disease resulting from the interaction between genetic factors and environmental exposures. Currently, finding reliable biomarkers is necessary for the clinical management of childhood asthma. However, only a few biomarkers are being used in clinical practice in the pediatric population. In the long run, new biomarkers for asthma in children are required and would help...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Asthma and respiratory diseases
Share to Helicobacter pylori-related gastroenterology studies
Share to IL-33, ST2, and ILC Pathways

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36140412
DOI: 10.3390/biomedicines10092311

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of Hub Genes and Potential Biomarkers for Childhood Asthma by Utilizing an Established Bioinformatic Analysis ApproachPMID 36140412Read ↗

Identification and Validation of Hub Genes in Children Asthma and Wheeze by Bioinformatics methodsSemantic proximity Read ↗

Integrative genomics analysis of various omics data and networks identify risk genes and variants vulnerable to childhood-onset asthma.Semantic proximity Read ↗

Identifying Key Genes and Functionally Enriched Pathways in Th2-high Asthma by Weighted Gene Co-Expression Network AnalysisSemantic proximity Read ↗

Identification of mitochondria-related biomarkers in childhood allergic asthmaSemantic proximity Read ↗

Identifying key genes and functionally enriched pathways in Th2-high asthma by weighted gene co-expression network analysisSemantic proximity Read ↗

Network-assisted analysis of GWAS data identifies a functionally-relevant gene module for childhood-onset asthmaSemantic proximity Read ↗

Identification of mitochondria-related biomarkers in childhood allergic asthmaSemantic proximity Read ↗

Development and validation of asthma risk prediction models using co- expression gene modules and machine learning methodsSemantic proximity Read ↗

Identification of Biomarkers and Pathogenesis in Severe Asthma by Co-expression Network AnalysisSemantic proximity Read ↗

Genomic Predictors of Asthma Phenotypes and Treatment ResponseSemantic proximity Read ↗

Identification of IL6R and chromosome 11q13.5 as risk loci for asthma.Semantic proximity Read ↗

Significance of Immune-related Genes in the Diagnosis and Subtype Classification of Childhood AsthmaSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.