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

Evaluation of a partial genome screening of two asthma susceptibility regions using bayesian network based bayesian multilevel analysis of relevance.

PloS one - 1 Jan 2012

Ungvári Ildikó, Hullám Gábor, Antal Péter, Kiszel Petra Sz, Gézsi András, Hadadi Éva, Virág Viktor, Hajós Gergely, Millinghoffer András, Nagy Adrienne, Kiss András, Semsei Ágnes F, Temesi Gergely, Melegh Béla, Kisfali Péter, Széll Márta, Bikov András, Gálffy Gabriella, Tamási Lilla, Falus András, Szalai Csaba

Abstract excerpt

Genetic studies indicate high number of potential factors related to asthma. Based on earlier linkage analyses we selected the 11q13 and 14q22 asthma susceptibility regions, for which we designed a partial genome screening study using 145 SNPs in 1201 individuals (436 asthmatic children and 765 c...

Read the complete abstract on PubMed

Topics

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

Share to Asthma
Share to Bayes Theorem

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Databases, Genetic

Share to Epistasis, Genetic

Share to Genetic Testing

Share to Genome, Human

Share to Models, Genetic

Share to Rhinitis

Source

Open in PubMed Open full text

Identifiers

PMID: 22432035
DOI: 10.1371/journal.pone.0033573
PMCID: PMC3303848

Genes

FRMD6
AHNAK
PRPF19
PTGDR
PTGER2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-22432035-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Evaluation of a partial genome screening of two asthma susceptibility regions using bayesian network based bayesian multilevel analysis of relevance.PMID 22432035Read ↗

Integrated genomics analysis highlights important SNPs and genes implicated in moderate-to-severe asthma based on GWAS and eQTL datasets.Semantic proximity Read ↗

Significant evidence for linkage to chromosome 5q13 in a genome-wide scan for asthma in an extended pedigree resource.Semantic proximity Read ↗

Meta-analysis of genome-wide linkage studies of asthma and related traits.Semantic proximity Read ↗

Phenotypic and genetic heterogeneity in a genome-wide linkage study of asthma families.Semantic proximity Read ↗

Potential drug targets for asthma identified in the plasma and brain through Mendelian randomization analysis.Semantic proximity Read ↗

A multi-omics Mendelian randomization identiﬁes putatively causal genes and DNA methylation sites for asthmaSemantic proximity Read ↗

Genome-wide association studies (GWAS) and their importance in asthma.Semantic proximity Read ↗

Identification of Druggable Genes for Asthma by Integrated Genomic Network AnalysisSemantic proximity Read ↗

Pathway analysis of genome-wide association study on asthma.Semantic proximity Read ↗

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

Identification of a novel asthma susceptibility gene on chromosome 1qter and its functional evaluation.Semantic proximity Read ↗

Novel Comprehensive Bioinformatics Approaches to Determine the Molecular Genetic Susceptibility Profile of Moderate and Severe Asthma.Semantic proximity Read ↗

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