Evidence map›Paper›PMID 20811658›Full record

Trial reportMolecular medicine (Cambridge, Mass.)

Genome-wide association for smoking cessation success in a trial of precessation nicotine replacement.

George R Uhl, Tomas Drgon, Catherine Johnson, Marco F Ramoni, Frederique M Behm, Jed E Rose

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Molecular medicine (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 6 pooled it
3.8field-weighted citation impact, top 7% 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

38 citing papers in PubMed, 6 syntheses or guidelines pooled it, 56 citations in OpenAlex.

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  18. LAR Receptor Tyrosine Phosphatase Family in Healthy and Diseased Brain.Frontiers in cell and developmental biology · 2021
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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

6 authors at 3 institutions in 1 country.

George R UhlMolecular Neurobiology Branch, National Institutes of Health Intramural Research Program, National Institute on Drug Abuse (NIH-IRP, NIDA), Baltimore, Maryland, United States of America. guhl@intra.nida.nih.gov
Tomas Drgon
Catherine Johnson
Marco F Ramoni
Frederique M Behm
Jed E Rose
National Institutes of Health · USDuke University · USHarvard–MIT Division of Health Sciences and Technology · US

Funding

Recruitment CoreP50DA027840 · NIDA · DUKE UNIVERSITY · PI DAVIS, JAMES M · 2010 to 2019
$14.9M
Molecular Genetic Bases for Quit SuccessZIADA000537 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 2009 to 2015
$2.9M
Intramural NIH HHSNIDA NIH HHS P50 DA027840
6 · The paper itself

Abstract

Abilities to successfully quit smoking display substantial evidence for heritability in classic and molecular genetic studies. Genome-wide association (GWA) studies have demonstrated single-nucleotide polymorphisms (SNPs) and haplotypes that distinguish successful quitters from individuals who were unable to quit smoking in clinical trial participants and in community samples. Many of the subjects in these clinical trial samples were aided by nicotine replacement therapy (NRT). We now report novel GWA results from participants in a clinical trial that sought dose/response relationships for "precessation" NRT. In this trial, 369 European-American smokers were randomized to 21 or 42 mg NRT, initiated 2 wks before target quit dates. Ten-week continuous smoking abstinence was assessed on the basis of self-reports and carbon monoxide levels. SNP genotyping used Affymetrix 6.0 arrays. GWA results for smoking cessation success provided no P value that reached "genome-wide" significance. Compared with chance, these results do identify (a) more clustering of nominally positive results within small genomic regions, (b) more overlap between these genomic regions and those identified in six prior successful smoking cessation GWA studies and (c) sets of genes that fall into gene ontology categories that appear to be biologically relevant. The 1,000 SNPs with the strongest associations form a plausible Bayesian network; no such network is formed by randomly selected sets of SNPs. The data provide independent support, based on individual genotyping, for many loci previously nominated on the basis of data from genotyping in pooled DNA samples. These results provide further support for the idea that aid for smoking cessation may be personalized on the basis of genetic predictors of outcome.

Indexed as

Genome-Wide Association StudyAdultBayes TheoremCarbon MonoxideGenetic TestingGenotypeHumansNicotinePolymorphism, Single NucleotideSmokingSmoking CessationTobacco Use DisorderTreatment OutcomeCarbon MonoxideNicotine

Identifiers

PMID20811658
PMCPMC2972392
OpenAlexW751680613

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.