ArticleMedical science monitor : international medical journal of experimental and clinical research2016
Association Between CHRNA3 and CHRNA5 Nicotine Receptor Subunit Gene Variants and Nicotine Dependence in an Isolated Populationof Kashubians in Poland.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- The concept of exposure when selecting comparison groups for determining individual susceptibility to addiction to cigarette smoking.PloS one · 2019Trial
- Article
- Chronic Obstructive Pulmonary Disease Risk and Smoking Cessation Changes Induced byBalkan journal of medical genetics : BJMG · 2019Article
- Human Genetics of Addiction: New Insights and Future Directions.Current psychiatry reports · 2018Review
- Article
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3 authors.
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Abstract
BACKGROUND Genome-wide and allelic association studies have shown the contribution of CHRNA5-A3-B4 nicotinic receptor subunit gene cluster within chromosome 15 to nicotine dependence (ND). While an association between several single-nucleotide polymorphisms (SNPs) at that locus and smoking quantity (cigarettes per day; CPD) has been well recognized, there are some inconsistencies in demonstrating the influence of these SNPs on other ND phenotypes. This uncertainty motivated us to examine the association of 3 selected SNPs (CHRNA3 rs1051730, rs6495308, and CHRNA5 rs55853898) with ND in an isolated population of Kashubians from Poland. MATERIAL AND METHODS The study sample consisted of 788 current daily smokers. ND was assessed by CPD, the Fagerstrom Test for Nicotine Dependence (FTND), its brief version - Heavy Smoking Index (HSI), and time to first cigarette after waking (TTF). The correlation between studied SNPs and dichotomized values of ND measures was assessed in the regression analysis. Bonferroni corrected p-value of 0.017 was set for a type 1 error. RESULTS We found a robust association between risk allele A of rs1051730 and CPD >10 (odds ratio (OR)=1.77, 95% confidence interval (CI): 1.20-2.59, p=0.004), and a weak association, which did not survive correction for multiple testing, with FTND ³4. No associations between studied SNPs and HSI or TTF were demonstrated. CONCLUSIONS Our findings confirm that rs1051730 influences ND phenotype, as defined by CPD.
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