ArticleBMC genetics2014
Genetic influence of dopamine receptor, dopamine transporter, and nicotine metabolism on smoking cessation and nicotine dependence in a Japanese population.
Article in BMC genetics, 2014. 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, 19 citations in OpenAlex.
- Nicotine Metabolism Predicted by CYP2A6 Genotypes in Relation to Smoking Cessation: A Systematic Review.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022Pooled it
- The significant association of Taq1A genotypes in DRD2/ANKK1 with smoking cessation in a large-scale meta-analysis of Caucasian populations.Translational psychiatry · 2015Pooled it
- Brain Cytochrome P450: Navigating Neurological Health and Metabolic Regulation.Journal of xenobiotics · 2025Review
- Effect of very low nicotine content cigarettes on smoking behavior in Chinese smokers with genotype-stratified nicotine metabolism rates.Frontiers in psychiatry · 2025Article
- Single Nucleotide Polymorphisms WithinCurrent addiction reports · 2024Article
- The association of genetic polymorphisms within the dopaminergic system with nicotine dependence: A narrative review.Heliyon · 2024Review
- 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
- GLOBAL OPIOID EPIDEMIC: DOOMED TO FAIL WITHOUT GENETICALLY BASED PRECISION ADDICTION MEDICINE (PAMPrecision medicine · 2017Article
- Molecular Genetic Testing in Pain and Addiction: Facts, Fiction and Clinical Utility.Addiction genetics · 2015Article
- Molecular Genetic Testing in Reward Deficiency Syndrome (RDS): Facts and Fiction.Journal of reward deficiency syndromeArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study investigated whether polymorphisms of the ankyrin repeat and kinase domain containing 1 gene (ANKK1), which is adjacent to the dopamine D2 receptor gene (DRD2), and the dopamine transporter (SLC6A3) and cytochrome P450 2A6 (CYP2A6) genes influence smoking cessation and nicotine dependence in a Japanese population. In 96 current and former smokers, genotyping frequencies for the ANKK1/DRD2 TaqIA, SLC6A3 VNTR, and CYP2A6 polymorphisms were subjected to chi-square analysis, and regression analyses were used to determine the association of the genotypes of current smokers with a Heavy Smoking Index, in addition to evaluating the effect of the subjects' smoking history on the association.
resultsGenotyping results suggested that nicotine dependence among current smokers homozygous for the SLC6A3 10r allele was lower than that of smokers carrying the minor alleles, and that the CYP2A6 polymorphism might mediate this association. Furthermore, the age at which current smokers began smoking might moderate the association between their genetic polymorphisms and nicotine dependence.
conclusionsThis study provides preliminary findings on the influence of genetic variants on the smoking phenotypes in a Japanese population.
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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.