ArticlePreventive medicine2008
A community-based study of cigarette smoking behavior in relation to variation in three genes involved in dopamine metabolism: Catechol-O-methyltransferase (COMT), dopamine beta-hydroxylase (DBH) and monoamine oxidase-A (MAO-A).
Article in Preventive medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- Pooled it
- Association of COMT Val(108/158)Met genotype and cigarette smoking in pregnant women.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2011Pooled it
- Article
- Dopamine gene variants in opioid addiction: comparison of dependent patients, nondependent users and healthy controls.Pharmacogenomics · 2018Article
- Interaction between cytochrome P450 2A6 and Catechol-O-Methyltransferase genes and their association with smoking risk in young men.Behavioral and brain functions : BBF · 2017Article
- Focused Analysis of Exome Sequencing Data for Rare Germline Mutations in Familial and Sporadic Lung Cancer.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2016Article
- An initial investigation of associations between dopamine-linked genetic variation and smoking motives in African Americans.Pharmacology, biochemistry, and behavior · 2015Article
- A review of pharmacogenetic studies of substance-related disorders.Drug and alcohol dependence · 2015Review
- COMT and MAO-A polymorphisms and obsessive-compulsive disorder: a family-based association study.PloS one · 2015Article
- Impact of COMT Val 108/158 Met and DRD2 Taq1B gene polymorphisms on vulnerability to cigarette smoking of Thai males.Journal of molecular neuroscience : MN · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveCigarette smoking behavior may be influenced by catechol-O-methlyltransferase (COMT), dopamine beta-hydroxylase (DBH), and monamine oxidase-A (MAO-A), genes that play roles in dopamine metabolism. The association between common polymorphisms of these genes and smoking behavior was assessed among 10,059 Caucasian volunteers in Washington County, MD in 1989.
methodsAge-adjusted logistic regression was used to measure the association between variants of these single nucleotide polymorphisms and smoking initiation and persistent smoking.
resultsOverall, no association was seen between each genotype and smoking behavior. However, among younger (<54 years) women, the COMT GG genotype was positively associated with smoking initiation (OR=1.3; 95% CI: 1.0 1.5), and the MAO-A TT genotype was inversely associated with persistent smoking (OR=0.7; 95% CI: 0.4, 1.0). Men who smoked fewer than 10 cigarettes per day were more likely to be persistent smokers if they had the COMT GG (OR=1.7; 95% CI: 1.0, 2.9) or the DBH GG (OR=1.6; 95% CI: 1.0, 2.5) genotypes.
conclusionOverall the results of this large community-based study do not provide evidence to support the presence of important associations between variants of COMT, DBH, or MAO-A and smoking initiation or persistent smoking.
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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.