Evidence map›Paper›PMID 18165968›Full record

Trial reportAmerican journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics2008

Identification of pharmacogenetic markers in smoking cessation therapy.

Daniel F Heitjan, Mengye Guo, Riju Ray, E Paul Wileyto, Leonard H Epstein, Caryn Lerman

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Smoking cessation pharmacogenetics: analysis of varenicline and bupropion in placebo-controlled clinical trials.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2012
    Trial
  5. Convergent evidence that choline acetyltransferase gene variation is associated with prospective smoking cessation and nicotine dependence.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2010
    Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Review
  11. Associations of rare nicotinic cholinergic receptor gene variants to nicotine and alcohol dependence.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2016
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Targeted deletion of the mouse α2 nicotinic acetylcholine receptor subunit gene (Chrna2) potentiates nicotine-modulated behaviors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013
    Article
  19. Translational research in nicotine dependence.Cold Spring Harbor perspectives in medicine · 2013
    Review
  20. 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.

Daniel F HeitjanDepartment of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. dheitjan@mail.med.upenn.edu
Mengye Guo
Riju Ray
E Paul Wileyto
Leonard H Epstein
Caryn Lerman

Funding

TRANSDISCIPLINARY TOBACCO USE RESEARCH CENTERSP50CA084718 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LERMAN, CARYN · 1999 to 2008
$17.8M
BIOBEHAVIORAL LUNG CANCER PREVENTION PROGRAMR01CA063562 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LERMAN, CARYN · 1993 to 2004
$2.7M
TRANSDISCIPLINARY RESEARCH ON GENETICS OF COMPLEX TRAITSP20RR020741 · NCRR · UNIVERSITY OF PENNSYLVANIA · PI KIMMEL, STEPHEN E. · 2004 to 2006
$1.7M
Statistical methods in smoking cessation researchR01CA116723 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HEITJAN, DANIEL FRANCIS · 2007 to 2009
$711k
NCI NIH HHS P50 CA084718NCI NIH HHS R01 CA063562NCI NIH HHS R01 CA116723NCRR NIH HHS P20 RR020741
6 · The paper itself

Abstract

Pharmacogenetic clinical trials seek to identify genetic modifiers of treatment effects. When a trial has collected data on many potential genetic markers, a first step in analysis is to screen for evidence of pharmacogenetic effects by testing for treatment-by-marker interactions in a statistical model for the outcome of interest. This approach is potentially problematic because (i) individual significance tests can be overly sensitive, particularly when sample sizes are large; and (ii) standard significance tests fail to distinguish between markers that are likely, on biological grounds, to have an effect, and those that are not. One way to address these concerns is to perform Bayesian hypothesis tests [Berger (1985) Statistical decision theory and Bayesian analysis. New York: Springer; Kass and Raftery (1995) J Am Stat Assoc 90:773-795], which are typically more conservative than standard uncorrected frequentist tests, less conservative than multiplicity-corrected tests, and make explicit use of relevant biological information through specification of the prior distribution. In this article we use a Bayesian testing approach to screen a panel of genetic markers recorded in a randomized clinical trial of bupropion versus placebo for smoking cessation. From a panel of 59 single-nucleotide polymorphisms (SNPs) located on 11 candidate genes, we identify four SNPs (one each on CHRNA5 and CHRNA2 and two on CHAT) that appear to have pharmacogenetic relevance. Of these, the SNP on CHRNA5 is most robust to specification of the prior. An unadjusted frequentist test identifies seven SNPs, including these four, none of which remains significant upon correction for multiplicity. In a panel of 43 randomly selected control SNPs, none is significant by either the Bayesian or the corrected frequentist test.

Indexed as

Genetic MarkersAntidepressive Agents, Second-GenerationBiomarkers, PharmacologicalBupropionCholine O-AcetyltransferaseGene FrequencyHumansNerve Tissue ProteinsPharmacogeneticsPlacebosPolymorphism, Single NucleotidePrevalenceReceptors, NicotinicSmokingSmoking CessationTobacco Use DisorderAntidepressive Agents, Second-GenerationBiomarkers, PharmacologicalBupropionCholine O-AcetyltransferaseCHRNA2 protein, humanCHRNA5 protein, humanGenetic MarkersNerve Tissue ProteinsPlacebosReceptors, Nicotinic

Identifiers

PMID18165968
PMCPMC2655206

What OpenQuestion holds

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LicenceTDM
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.