Evidence map›Paper›PMID 29631575›Full record

Trial reportRespiratory research2018

The genetics of smoking in individuals with chronic obstructive pulmonary disease.

Ma'en Obeidat, Guohai Zhou, Xuan Li, Nadia N Hansel, Nicholas Rafaels, Rasika Mathias, Ingo Ruczinski, Terri H Beaty, Kathleen C Barnes, Peter D Paré and 1 more

Registry-linked trialOpen access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Respiratory research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00000568 (Lung Health Study), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 25% 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.

NCT00000568 phase3completednot on this map

Lung Health Study (LHS) I and III

TypeinterventionalSponsorNational Heart, Lung, and Blood Institute (NHLBI)Ran1984 to 2005ConditionsLung Diseases, Lung Diseases, Obstructive, Chronic Obstructive Pulmonary DiseaseArmssmoking cessation, ipratropium
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Annals of medicine · 2025
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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

11 authors at 3 institutions in 2 countries.

Ma'en ObeidatThe University of British Columbia Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, BC, Canada. maen.obeidat@hli.ubc.ca.ORCID 0000-0002-5443-2752
Guohai ZhouThe University of British Columbia Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, BC, Canada.
Xuan LiThe University of British Columbia Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, BC, Canada.
Nadia N HanselPulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Nicholas RafaelsDivision of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA.
Rasika MathiasDivision of Genetic Epidemiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Ingo RuczinskiDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Terri H BeatyDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Kathleen C BarnesDivision of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA.
Peter D ParéThe University of British Columbia Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, BC, Canada.
Don D SinThe University of British Columbia Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, BC, Canada.
University of British Columbia · CAJohns Hopkins University · USUniversity of Colorado Anschutz Medical Campus · US

Funding

CIHR
6 · The paper itself

Abstract

backgroundSmoking is the principal modifiable environmental risk factor for chronic obstructive pulmonary disease (COPD) which affects 300 million people and is the 3rd leading cause of death worldwide. Most of the genetic studies of smoking have relied on self-reported smoking status which is vulnerable to reporting and recall bias. Using data from the Lung Health Study (LHS), we sought to identify genetic variants associated with quantitative smoking and cessation in individuals with mild to moderate COPD.

methodsThe LHS is a longitudinal multicenter study of mild-to-moderate COPD subjects who were all smokers at recruitment. We performed genome-wide association studies (GWASs) for salivary cotinine (n = 4024), exhaled carbon monoxide (eCO) (n = 2854), cigarettes per day (CPD) (n = 2706) and smoking cessation at year 5 follow-up (n = 717 quitters and 2175 smokers). The GWAS analyses were adjusted for age, gender, and genetic principal components.

resultsFor cotinine levels, SNPs near UGT2B10 gene achieved genome-wide significance (i.e. P < 5 × 10

conclusionThe study demonstrates that using objective measures of smoking such as eCO and/or salivary cotinine can more precisely capture the genetic contribution to multiple aspects of smoking behaviour. The KCNMA1 gene association with smoking cessation may represent a potential therapeutic target and warrants further studies.

trial registrationThe Lung Health Study ClinicalTrials.gov Identifier: NCT00000568 . Date of registration: October 28, 1999.

Indexed as

AdultFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLarge-Conductance Calcium-Activated Potassium Channel alpha SubunitsLongitudinal StudiesMaleMiddle AgedPolymorphism, Single NucleotidePulmonary Disease, Chronic ObstructiveSmokingSmoking CessationKCNMA1 protein, humanLarge-Conductance Calcium-Activated Potassium Channel alpha SubunitsCessationCotinineeCOGWASSmoking

Identifiers

PMID29631575
PMCPMC5892035
OpenAlexW2798249235

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.