Evidence map›Paper›PMID 21134251›Full record

ArticleBMC medical research methodology2010

A methodology to establish a database to study gene environment interactions for childhood asthma.

Stephen W Turner, Jon G Ayres, Tatiana V Macfarlane, Anil Mehta, Gita Mehta, Colin N Palmer, Steve Cunningham, Tim Adams, Krishnan Aniruddhan, Claire Bell and 15 more

Abstract read
In one paragraph

Article in BMC medical research methodology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. ADRB2 haplotypes and asthma exacerbations in children and young adults: An individual participant data meta-analysis.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2021
    Pooled it
  2. Pooled it
  3. ST13 polymorphisms and their effect on exacerbations in steroid-treated asthmatic children and young adults.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2015
    Pooled it
  4. Are single-nucleotide polymorphisms previously linked to inhaled corticosteroid response associated with obese-asthma in children?Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2024
    Article
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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

25 authors.

Stephen W TurnerAcademic Child Health, University of Aberdeen, Aberdeen, UK. s.w.turner@abdn.ac.uk
Jon G Ayres
Tatiana V Macfarlane
Anil Mehta
Gita Mehta
Colin N Palmer
Steve Cunningham
Tim Adams
Krishnan Aniruddhan
Claire Bell
Donna Corrigan
Jason Cunningham
Andrew Duncan
Gerard Hunt
Richard Leece
Una MacFadyen
Jonathan McCormick
Sally McLeish
Andrew Mitra
Deborah Miller
Elizabeth Waxman
Alan Webb
Slawomir Wojcik
Somnath Mukhopadhyay
Donald Macgregor

Funding

Chief Scientist Office CZH/4/418
6 · The paper itself

Abstract

backgroundGene-environment interactions are likely to explain some of the heterogeneity in childhood asthma. Here, we describe the methodology and experiences in establishing a database for childhood asthma designed to study gene-environment interactions (PAGES--Paediatric Asthma Gene Environment Study).

methodsChildren with asthma and under the care of a respiratory paediatrician are being recruited from 15 hospitals between 2008 and 2011. An asthma questionnaire is completed and returned by post. At a routine clinic visit saliva is collected for DNA extraction. Detailed phenotyping in a proportion of children includes spirometry, bronchodilator response (BDR), skin prick reactivity, exhaled nitric oxide and salivary cotinine. Dietary and quality of life questionnaires are completed. Data are entered onto a purpose-built database.

resultsTo date 1045 children have been invited to participate and data collected in 501 (48%). The mean age (SD) of participants is 8.6 (3.9) years, 57% male. DNA has been collected in 436 children. Spirometry has been obtained in 172 children, mean % predicted (SD) FEV1 97% (15) and median (IQR) BDR is 5% (2, 9). There were differences in age, socioeconomic status, severity and %FEV1 between the different centres (p≤0.024). Reasons for non-participation included parents not having time to take part, children not attending clinics and, in a small proportion, refusal to take part.

conclusionsIt is feasible to establish a national database to study gene-environment interactions within an asthmatic paediatric population; there are barriers to participation and some different characteristics in individuals recruited from different centres. Recruitment to our study continues and is anticipated to extend current understanding of asthma heterogeneity.

Indexed as

Databases, FactualDatabases, GeneticAsthmaChildData CollectionDNAEnvironmentFemaleForced Expiratory VolumeGenetic Predisposition to DiseaseHumansMalePhenotypeQuality of LifeSocioeconomic FactorsSpirometryDNA

Identifiers

PMID21134251
PMCPMC3019209

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.