Evidence map›Paper›PMID 22432035›Full record

ArticlePloS one2012

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

Ildikó Ungvári, Gábor Hullám, Péter Antal, Petra Sz Kiszel, András Gézsi, Éva Hadadi, Viktor Virág, Gergely Hajós, András Millinghoffer, Adrienne Nagy and 11 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 58 citations in OpenAlex.

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  16. Circulating survivin levels in healthy and asthmatic pregnancy.Reproductive biology and endocrinology : RB&E · 2014
    Article
  17. Article
  18. Brain galanin system genes interact with life stresses in depression-related phenotypes.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  19. Article
  20. Epistatic effects of multiple receptor genes on pathophysiology of asthma - its limits and potential for clinical application.Medical science monitor : international medical journal of experimental and clinical research · 2014
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 5 institutions in 1 country.

Ildikó UngváriDepartment of Genetics, Cell and Immunobiology, Semmelweis University, Budapest, Hungary.
Gábor Hullám
Péter Antal
Petra Sz Kiszel
András Gézsi
Éva Hadadi
Viktor Virág
Gergely Hajós
András Millinghoffer
Adrienne Nagy
András Kiss
Ágnes F Semsei
Gergely Temesi
Béla Melegh
Péter Kisfali
Márta Széll
András Bikov
Gabriella Gálffy
Lilla Tamási
András Falus
Csaba Szalai
Semmelweis University · HUBudapest University of Technology and Economics · HUHungarian Academy of Sciences · HUHeim Pál Gyermekkórház · HUUniversity of Pecs · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 controls). The results were evaluated with traditional frequentist methods and we applied a new statistical method, called bayesian network based bayesian multilevel analysis of relevance (BN-BMLA). This method uses bayesian network representation to provide detailed characterization of the relevance of factors, such as joint significance, the type of dependency, and multi-target aspects. We estimated posteriors for these relations within the bayesian statistical framework, in order to estimate the posteriors whether a variable is directly relevant or its association is only mediated.With frequentist methods one SNP (rs3751464 in the FRMD6 gene) provided evidence for an association with asthma (OR = 1.43(1.2-1.8); p = 3×10(-4)). The possible role of the FRMD6 gene in asthma was also confirmed in an animal model and human asthmatics.In the BN-BMLA analysis altogether 5 SNPs in 4 genes were found relevant in connection with asthma phenotype: PRPF19 on chromosome 11, and FRMD6, PTGER2 and PTGDR on chromosome 14. In a subsequent step a partial dataset containing rhinitis and further clinical parameters was used, which allowed the analysis of relevance of SNPs for asthma and multiple targets. These analyses suggested that SNPs in the AHNAK and MS4A2 genes were indirectly associated with asthma. This paper indicates that BN-BMLA explores the relevant factors more comprehensively than traditional statistical methods and extends the scope of strong relevance based methods to include partial relevance, global characterization of relevance and multi-target relevance.

Indexed as

Genetic Predisposition to DiseaseGenetic TestingMultilevel AnalysisAdolescentAsthmaBayes TheoremChildChild, PreschoolDatabases, GeneticEpistasis, GeneticFemaleGenome, HumanHumansMaleModels, GeneticPolymorphism, Single Nucleotide

Identifiers

PMID22432035
PMCPMC3303848
OpenAlexW2066313311

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Registered trials

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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 OpenQuestion graph.