Evidence map›Paper›PMID 19442458›Full record

ReviewDrug and alcohol dependence2009

Smoking and smoking cessation in disadvantaged women: assessing genetic contributions.

George R Uhl, Tomas Drgon, Chuan-Yun Li, Catherine Johnson, Qing-Rong Liu

Open access · greenAbstract readReview
In one paragraph

Review in Drug and alcohol dependence, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Gold standard program for heavy smokers in a real-life setting.International journal of environmental research and public health · 2013
    Article
  5. Article
  6. Review
  7. Article
  8. 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

5 authors at 3 institutions in 2 countries.

George R UhlMolecular Neurobiology Branch, NIH-IRP (NIDA), Baltimore, MD 21224, USA. guhl@intra.nida.nih.gov
Tomas Drgon
Chuan-Yun Li
Catherine Johnson
Qing-Rong Liu
National Institute on Drug Abuse · USNational Institutes of Health · USPeking University · CN

Funding

GENETIC APPROACHES TO CHARACTERIZING DRUG RESPONSES AND VULNERABILITIES: HUMANSZ01DA000401 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 1997 to 2008
$4.6M
Genetic Approaches To Characterizing Drug Responses And Vulnerabilities: HumansZIADA000401 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 2009 to 2015
$3.4M
Molecular Genetic Bases for Quit SuccessZIADA000537 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 2009 to 2015
$2.9M
Molecular Genetic Bases for Quit SuccessZ01DA000537 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 2007 to 2008
$1.7M
Intramural NIH HHS Z01 DA000401Intramural NIH HHS ZIA DA000537
6 · The paper itself

Abstract

Abundant evidence from family, adoption and twin studies points to large genetic contributions to individual differences in vulnerability to develop dependence on one or more addictive substances, including tobacco. Twin data suggests that much of this genetic vulnerability is shared by individuals who are dependent on a variety of addictive substances. Interestingly, some twin data also supports substantial differences in the apparent heritability of nicotine dependence in women as environmental conditions become more permissive for their smoking. In addition, twin studies also support the idea that ability to quit smoking displays substantial heritability, and that this heritable influence overlaps partially with genetic influences on nicotine dependence. Candidate gene molecular genetic studies and genome wide association studies of substance dependence and ability to quit smoking each document apparent polygenic influences that identify lists of genes that display partial overlap, as expected from classical genetic studies. More of these genes are expressed in the brain than would be anticipated by chance. These lists of genes overlap significantly with those identified in molecular genetic studies of individual differences in cognitive abilities, frontal lobe brain volumes as well as personality and psychiatric phenotypes. Though most available genome wide association data do not separate results by gender, it may be notable that few of these genes lie on sex chromosomes. These data provide a substrate to improve understanding of nicotine dependence, the ability to quit smoking, the potential for less permissive environments to restrict the expression of genetic influences on smoking and the possibility that brain features that underlie phenotypes such as individual differences in cognitive abilities might interact with environmental features that are especially prominent for disadvantaged women to provide special circumstances that should be considered in prevention and treatment efforts to reduce smoking.

Indexed as

Vulnerable PopulationsFemaleHumansSex FactorsSmokingSmoking CessationWomen's Health

Identifiers

PMID19442458
PMCPMC9295906
OpenAlexW2041589179

What OpenQuestion holds

Textmetadata
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.