Evidence map›Paper›PMID 28073367›Full record

ArticleRespiratory research2017

No convincing association between genetic markers and respiratory symptoms: results of a GWA study.

Xiang Zeng, Judith M Vonk, Kim de Jong, Xijin Xu, Xia Huo, H Marike Boezen

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. A novel locus for exertional dyspnoea in childhood asthma.The European respiratory journal · 2021
    Article
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

6 authors at 3 institutions in 2 countries.

Xiang ZengDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, 1 Hanzeplein, Groningen, 9700RB, The Netherlands.
Judith M VonkDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, 1 Hanzeplein, Groningen, 9700RB, The Netherlands.
Kim de JongDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, 1 Hanzeplein, Groningen, 9700RB, The Netherlands.
Xijin XuLaboratory of Environmental Medicine and Developmental Toxicology, and Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Shantou University Medical College, 22 Xinling Road, Shantou, 515041, China.
Xia HuoSchool of Environment, Guangdong Key Laboratory of Environmental Pollution and Health, Guangzhou Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, 510632, China.
H Marike BoezenDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, 1 Hanzeplein, Groningen, 9700RB, The Netherlands. h.m.boezen@umcg.nl.ORCID 0000-0002-4320-1481
University Medical Center Groningen · NLJinan University · CNShantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRespiratory symptoms are associated with accelerated lung function decline, and increased hospitalization and mortality rates in the general population. Although several environmental risk factors for respiratory symptoms are known, knowledge on genetic risk factors is lacking. We aim to identify genetic variants associated with respiratory symptoms by genome-wide association (GWA) analyses.

methodsWe conducted the first GWA study on cough, dyspnea and phlegm among 7,976 participants in the LifeLines I cohort and used the LifeLines II cohort (n = 5,260) and the Vlagtwedde-Vlaardingen cohort (n = 1,529) for replication.

resultsWe identified 50 SNPs that were assessed for replication. Rs16918212, located in the alpha-2-macroglobulin pseudogene 1 (A2MP1), was associated with cough in both the identification (odds ratio (OR) = 0.72, p = 5.41 × 10

conclusionsGiven that only 1 out of 50 SNPs showed significant replication (i.e. 2%) we conclude that we did not find a convincing association between genetic markers and respiratory symptoms. Since, environmental exposures are important risk factors for respiratory symptoms, the next step is to perform a genome-wide interaction (GWI) study to identify genetic susceptibility loci for respiratory symptoms in interaction with known harmful environmental exposures.

Indexed as

Genome-Wide Association StudyAdolescentAdultAgedAged, 80 and overAge DistributionCohort StudiesFemaleGenetic MarkersGenetic Predisposition to DiseaseGenetic TestingHumansMaleMiddle AgedNetherlandsPrevalenceGenetic MarkerscohortsGeneral populationGeneticGWASRespiratory symptoms

Identifiers

PMID28073367
PMCPMC5223330
OpenAlexW2570375580

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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.