Evidence map›Paper›PMID 28253294›Full record

ArticlePloS one2017

Adult onset asthma and interaction between genes and active tobacco smoking: The GABRIEL consortium.

J M Vonk, S Scholtens, D S Postma, M F Moffatt, D Jarvis, A Ramasamy, M Wjst, E R Omenaas, E Bouzigon, F Demenais and 19 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Genetics of chronic respiratory disease.Nature reviews. Genetics · 2024
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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

29 authors.

J M VonkUniversity of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands.
S ScholtensUniversity of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands.
D S PostmaUniversity of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the Netherlands.
M F MoffattDivision of Respiratory Sciences, Imperial College, London, United Kingdom.
D JarvisPopulation Health and Occupational Disease, Imperial College, London, United Kingdom.
A RamasamyPopulation Health and Occupational Disease, Imperial College, London, United Kingdom.
M WjstInstitute of Medical Statistics and Epidemiology (IMSE), Klinikum Rechts der Isar, Technical University, Munich, Germany.
E R OmenaasCentre for Clinical Research, Haukeland University Hospital, Bergen, Norway.
E BouzigonUniv Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Paris, France.
F DemenaisUniv Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Paris, France.
R NadifINSERM, U1168, VIMA: Aging and chronic diseases, Epidemiological and public health approaches, Villejuif, France.
V SirouxINSERM, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France.
A V PolonikovKursk State Medical University, Department of Biology, Medical Genetics and Ecology, Kursk, Russian Federation.
M SolodilovaKursk State Medical University, Department of Biology, Medical Genetics and Ecology, Kursk, Russian Federation.
V P IvanovKursk State Medical University, Department of Biology, Medical Genetics and Ecology, Kursk, Russian Federation.
I CurjuricDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.
M ImbodenDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.
A KumarDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.
N Probst-HenschDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.
L M OgorodovaSiberian State Medical University, Tomsk, Russia.
V P PuzyrevSiberian State Medical University, Tomsk, Russia.
E Yu BraginaResearch Institute of Medical Genetics, Tomsk NRMC, Russia.
M B FreidinResearch Institute of Medical Genetics, Tomsk NRMC, Russia.
I M NolteUniversity of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands.
A M FarrallWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
W O C M CooksonDivision of Respiratory Sciences, Imperial College, London, United Kingdom.
D P StrachanPopulation Health Research Institute, St George's, University of London, London, United Kingdom.
G H KoppelmanUniversity of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the Netherlands.
H M BoezenUniversity of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenome-wide association studies have identified novel genetic associations for asthma, but without taking into account the role of active tobacco smoking. This study aimed to identify novel genes that interact with ever active tobacco smoking in adult onset asthma.

methodsWe performed a genome-wide interaction analysis in six studies participating in the GABRIEL consortium following two meta-analyses approaches based on 1) the overall interaction effect and 2) the genetic effect in subjects with and without smoking exposure. We performed a discovery meta-analysis including 4,057 subjects of European descent and replicated our findings in an independent cohort (LifeLines Cohort Study), including 12,475 subjects.

resultsFirst approach: 50 SNPs were selected based on an overall interaction effect at p<10-4. The most pronounced interaction effect was observed for rs9969775 on chromosome 9 (discovery meta-analysis: ORint = 0.50, p = 7.63*10-5, replication: ORint = 0.65, p = 0.02). Second approach: 35 SNPs were selected based on the overall genetic effect in exposed subjects (p <10-4). The most pronounced genetic effect was observed for rs5011804 on chromosome 12 (discovery meta-analysis ORint = 1.50, p = 1.21*10-4; replication: ORint = 1.40, p = 0.03).

conclusionsUsing two genome-wide interaction approaches, we identified novel polymorphisms in non-annotated intergenic regions on chromosomes 9 and 12, that showed suggestive evidence for interaction with active tobacco smoking in the onset of adult asthma.

Indexed as

Gene-Environment InteractionGenome-Wide Association StudyAdultAsthmaCohort StudiesGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideSmoking

Identifiers

PMID28253294
PMCPMC5333809

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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.