Evidence map›Paper›PMID 25234806›Full record

SynthesisThe European respiratory journal2015

Dissecting the genetics of chronic mucus hypersecretion in smokers with and without COPD.

Akkelies E Dijkstra, H Marike Boezen, Maarten van den Berge, Judith M Vonk, Pieter S Hiemstra, R Graham Barr, Kirsten M Burkart, Ani Manichaikul, Tess D Pottinger, Edward K Silverman and 18 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in The European respiratory journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Guideline
  2. Functional role of glial-derived neurotrophic factor in a mixed allergen murine model of asthma.American journal of physiology. Lung cellular and molecular physiology · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. A comparison of three mucus-secreting airway cell lines (Calu-3, SPOC1 and UNCN3T) for use as biopharmaceutical models of the nose and lung.European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V · 2021
    Article
  7. Article
  8. A novel locus for exertional dyspnoea in childhood asthma.The European respiratory journal · 2021
    Article
  9. Neurotrophin Regulation and Signaling in Airway Smooth Muscle.Advances in experimental medicine and biology · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Advances in understanding COPD.F1000Research · 2016
    Review
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

28 authors at 1 institution in 1 country.

Akkelies E DijkstraFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section d.s.postma@umcg.nl.
H Marike BoezenFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Maarten van den BergeFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Judith M VonkFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Pieter S HiemstraFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
R Graham BarrFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Kirsten M BurkartFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Ani ManichaikulFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Tess D PottingerFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Edward K SilvermanFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Michael H ChoFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
James D CrapoFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Terri H BeatyFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Per BakkeFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Amund GulsvikFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
David A LomasFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Yohan BosséFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
David C NickleFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Peter D ParéFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Harry J de KoningFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Jan-Willem LammersFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Pieter ZanenFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Joanna SmolonskaFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Ciska WijmengaFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Corry-Anke BrandsmaFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Harry J M GroenFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
Dirkje S PostmaFor lists of the authors' affiliations, and the LifeLines Cohort Study group members and their affiliations, see the Acknowledgements section.
LifeLines Cohort Study group
Girls Incorporated · US

Funding

ZONA-FREE HAMSTER OVA ASSAY AS AN INDICATOR OF MALE FERTILITYM01RR000425 · NCRR · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI ANDERSON, GAIL V · 1985 to 2011
$74.2M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0M
Metabolomic signatures of empysema and COPD progression in the COPDGene cohortR01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2012 to 2016
$31.1M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
(2 of 2) Genetic Epidemiology of COPDR01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2012 to 2016
$18.9M
Pulmonary microvascular perfusion in the Multi-Ethnic Study of AtherosclerosisR01HL077612 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI R Graham BARR · 2004 to 2026
$18.8M
Pulmonary Vascular Changes in Early Chronic Obstructive Pulmonary Disease (COPD)R01HL093081 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI R Graham BARR · 2008 to 2026
$17.2M
UCLA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR033176 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2011 to 2011
$15.5M
Multi-Ethnic Study of Atherosclerosis (MESA) StudyR01HL071205 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI ROTTER, JEROME I · 2003 to 2007
$10.4M
Adjunctive Use of Apyrase to Fibrinolytic TherapyR44HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2012 to 2013
$1.3M
CIHR MOP - 123369Medical Research Council G0901786NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NCRR NIH HHS M01 RR000425NCRR NIH HHS M01-RR00425NCRR NIH HHS RR-024156NCRR NIH HHS UL1 RR024156NCRR NIH HHS UL1 RR033176NCRR NIH HHS UL1RR033176NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095169NHLBI NIH HHS N01-HC-95159NHLBI NIH HHS N01-HC-95169NHLBI NIH HHS N02-HL-6-4278NHLBI NIH HHS R01 HL071051NHLBI NIH HHS R01HL071051NHLBI NIH HHS R01 HL071205NHLBI NIH HHS R01HL071205NHLBI NIH HHS R01 HL071250NHLBI NIH HHS R01HL071250NHLBI NIH HHS R01 HL071251NHLBI NIH HHS R01HL071251NHLBI NIH HHS R01 HL071252NHLBI NIH HHS R01HL071252NHLBI NIH HHS R01 HL071258NHLBI NIH HHS R01HL071258NHLBI NIH HHS R01 HL071259NHLBI NIH HHS R01HL071259NHLBI NIH HHS R01 HL077612NHLBI NIH HHS R01HL077612NHLBI NIH HHS R01 HL089856NHLBI NIH HHS R01 HL089897NHLBI NIH HHS R01 HL093081NHLBI NIH HHS R01HL093081NHLBI NIH HHS RC1 HL100543NHLBI NIH HHS RC1HL100543NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897
6 · The paper itself

Abstract

Smoking is a notorious risk factor for chronic mucus hypersecretion (CMH). CMH frequently occurs in chronic obstructive pulmonary disease (COPD). The question arises whether the same single-nucleotide polymorphisms (SNPs) are related to CMH in smokers with and without COPD. We performed two genome-wide association studies of CMH under an additive genetic model in male heavy smokers (≥20 pack-years) with COPD (n=849, 39.9% CMH) and without COPD (n=1348, 25.4% CMH), followed by replication and meta-analysis in comparable populations, and assessment of the functional relevance of significantly associated SNPs. Genome-wide association analysis of CMH in COPD and non-COPD subjects yielded no genome-wide significance after replication. In COPD, our top SNP (rs10461985, p=5.43×10(-5)) was located in the GDNF-AS1 gene that is functionally associated with the GDNF gene. Expression of GDNF in bronchial biopsies of COPD patients was significantly associated with CMH (p=0.007). In non-COPD subjects, four SNPs had a p-value <10(-5) in the meta-analysis, including a SNP (rs4863687) in the MAML3 gene, the T-allele showing modest association with CMH (p=7.57×10(-6), OR 1.48) and with significantly increased MAML3 expression in lung tissue (p=2.59×10(-12)). Our data suggest the potential for differential genetic backgrounds of CMH in individuals with and without COPD.

Indexed as

AllelesBiopsyBronchiCohort StudiesGene Expression ProfilingGenome-Wide Association StudyGlial Cell Line-Derived Neurotrophic FactorHumansLungMucusPolymorphism, Single NucleotidePulmonary Disease, Chronic ObstructiveQuantitative Trait LociRisk FactorsRNA, MessengerSmokingGDNF protein, humanGlial Cell Line-Derived Neurotrophic FactorRNA, Messenger

Identifiers

PMID25234806
PMCPMC4498483
OpenAlexW2158615286

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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.