Evidence map›Paper›PMID 19247692›Full record

ArticleHuman genetics2009

Analyses of associations with asthma in four asthma population samples from Canada and Australia.

Denise Daley, Mathieu Lemire, Loubna Akhabir, Moira Chan-Yeung, Jian Qing He, Treena McDonald, Andrew Sandford, Dorota Stefanowicz, Ben Tripp, David Zamar and 15 more

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Human genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 10 pooled it
7.4field-weighted citation impact, top 2% 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

53 citing papers in PubMed, 10 syntheses or guidelines pooled it, 109 citations in OpenAlex.

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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 at 9 institutions in 2 countries.

Denise DaleyJames Hogg iCAPTURE Center, University of British Columbia (UBC), 1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada.
Mathieu Lemire
Loubna Akhabir
Moira Chan-Yeung
Jian Qing He
Treena McDonald
Andrew Sandford
Dorota Stefanowicz
Ben Tripp
David Zamar
Yohan Bosse
Vincent Ferretti
Alexandre Montpetit
Marie-Catherine Tessier
Allan Becker
Anita L Kozyrskyj
John Beilby
Pamela A McCaskie
Bill Musk
Nicole Warrington
Alan James
Catherine Laprise
Lyle J Palmer
Peter D Paré
Thomas J Hudson
University of British Columbia · CAMcGill University and Génome Québec Innovation Centre · CASir Charles Gairdner Hospital · AUHarry Perkins Institute of Medical Research · AUOntario Institute for Cancer Research · CAUniversity of Manitoba · CAInstitut universitaire de cardiologie et de pneumologie de Québec · CAThe University of Western Australia · AUUniversité de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma, atopy, and related phenotypes are heterogeneous complex traits, with both genetic and environmental risk factors. Extensive research has been conducted and over hundred genes have been associated with asthma and atopy phenotypes, but many of these findings have failed to replicate in subsequent studies. To separate true associations from false positives, candidate genes need to be examined in large well-characterized samples, using standardized designs (genotyping, phenotyping and analysis). In an attempt to replicate previous associations we amalgamated the power and resources of four studies and genotyped 5,565 individuals to conduct a genetic association study of 93 previously associated candidate genes for asthma and related phenotypes using the same set of 861 single-nucleotide polymorphisms (SNPs), a common genotyping platform, and relatively harmonized phenotypes. We tested for association between SNPs and the dichotomous outcomes of asthma, atopy, atopic asthma, and airway hyperresponsiveness using a general allelic likelihood ratio test. No SNP in any gene reached significance levels that survived correction for all tested SNPs, phenotypes, and genes. Even after relaxing the usual stringent multiple testing corrections by performing a gene-based analysis (one gene at a time as if no other genes were typed) and by stratifying SNPs based on their prior evidence of association, no genes gave strong evidence of replication. There was weak evidence to implicate the following: IL13, IFNGR2, EDN1, and VDR in asthma; IL18, TBXA2R, IFNGR2, and VDR in atopy; TLR9, TBXA2R, VDR, NOD2, and STAT6 in airway hyperresponsiveness; TLR10, IFNGR2, STAT6, VDR, and NPSR1 in atopic asthma. Additionally we found an excess of SNPs with small effect sizes (OR < 1.4). The low rate of replication may be due to small effect size, differences in phenotypic definition, differential environmental effects, and/or genetic heterogeneity. To aid in future replication studies of asthma genes a comprehensive database was compiled and is available to the scientific community at http://genapha.icapture.ubc.ca/.

Indexed as

Polymorphism, Single NucleotideAllelesAsthmaAustraliaBronchial HyperreactivityCanadaCase-Control StudiesFamilyFemaleGene FrequencyGenetics, PopulationGenome-Wide Association StudyGenotypeHumansHypersensitivity, ImmediateMale

Identifiers

PMID19247692
OpenAlexW2026386906

What OpenQuestion holds

Textmetadata
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.