Evidence map›Paper›PMID 26986948›Full record

ArticlePloS one2016

An Interleukin 13 Polymorphism Is Associated with Symptom Severity in Adult Subjects with Ever Asthma.

Simone Accordini, Lucia Calciano, Cristina Bombieri, Giovanni Malerba, Francesca Belpinati, Anna Rita Lo Presti, Alessandro Baldan, Marcello Ferrari, Luigi Perbellini, Roberto de Marco

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Simone AccordiniUnit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Lucia CalcianoUnit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Cristina BombieriSection of Biology and Genetics, Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy.
Giovanni MalerbaSection of Biology and Genetics, Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy.
Francesca BelpinatiSection of Biology and Genetics, Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy.
Anna Rita Lo PrestiSection of Biology and Genetics, Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy.
Alessandro BaldanSection of Biology and Genetics, Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy.
Marcello FerrariUnit of Respiratory Medicine, Department of Medicine, University of Verona, Verona, Italy.
Luigi PerbelliniUnit of Occupational Medicine, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Roberto de MarcoUnit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different genes are associated with categorical classifications of asthma severity. However, continuous outcomes should be used to catch the heterogeneity of asthma phenotypes and to increase the power in association studies. Accordingly, the aim of this study was to evaluate the association between single nucleotide polymorphisms (SNPs) in candidate gene regions and continuous measures of asthma severity, in adult patients from the general population. In the Gene Environment Interactions in Respiratory Diseases (GEIRD) study (www.geird.org), 326 subjects (aged 20-64) with ever asthma were identified from the general population in Verona (Italy) between 2007 and 2010. A panel of 236 SNPs tagging 51 candidate gene regions (including one or more genes) was analysed. A symptom and treatment score (STS) and pre-bronchodilator FEV1% predicted were used as continuous measures of asthma severity. The association of each SNP with STS and FEV1% predicted was tested by fitting quasi-gamma and linear regression models, respectively, with gender, body mass index and smoking habits as potential confounders. The Simes multiple-test procedure was used for controlling the false discovery rate (FDR). SNP rs848 in the IL13 gene region (IL5/RAD50/IL13/IL4) was associated with STS (TG/GG vs TT genotype: uncorrected p-value = 0.00006, FDR-corrected p-value = 0.04), whereas rs20541 in the same gene region, in linkage disequilibrium with rs848 (r(2) = 0.94) in our sample, did not reach the statistical significance after adjusting for multiple testing (TC/CC vs TT: uncorrected p-value = 0.0003, FDR-corrected p-value = 0.09). Polymorphisms in other gene regions showed a non-significant moderate association with STS (IL12B, TNS1) or lung function (SERPINE2, GATA3, IL5, NPNT, FAM13A) only. After adjusting for multiple testing and potential confounders, SNP rs848 in the IL13 gene region is significantly associated with a continuous measure of symptom severity in adult subjects with ever asthma.

Indexed as

Polymorphism, Single NucleotideAdultAsthmaFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansInterleukin-13Linkage DisequilibriumMaleMiddle AgedRespiratory Function TestsSeverity of Illness IndexYoung AdultInterleukin-13

Identifiers

PMID26986948
PMCPMC4795623

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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.