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. 2014 May;51(5):327-33.
doi: 10.1136/jmedgenet-2013-102151. Epub 2014 Mar 24.

Genome-wide Association Study of Smoking Behaviours Among Bangladeshi Adults

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Free PMC article

Genome-wide Association Study of Smoking Behaviours Among Bangladeshi Adults

Maria Argos et al. J Med Genet. .
Free PMC article

Abstract

Background: The high prevalence of tobacco use in some developing nations, including Bangladesh, poses several public health challenges for these populations. Smoking behaviour is determined by genetic and environmental factors; however, the genetic determinants of smoking behaviour have not been previously examined in a Bangladeshi or South Asian population. We performed a genome-wide association study (GWAS) of tobacco smoking behaviour among a population-based sample of 5354 (2035 ever smokers and 3319 never smokers) men and women in Bangladesh.

Methods: Genome-wide association analyses were conducted for smoking initiation (ever vs never smokers), smoking quantity (cigarettes per day), age of smoking initiation, and smoking cessation (former vs current smokers). Sex-stratified associations were performed for smoking initiation.

Results: We observed associations for smoking initiation in the SLC39A11 region at 17q21.31 (rs2567519, p=1.33×10⁻⁷) among men and in the SLCO3A1 region at 15q26 (rs12912184, p=9.32×10⁻⁸) among women.

Conclusions: These findings suggest possible underlying mechanisms related to solute carrier transporter genes, which transport neurotransmitters, nutrients, heavy metals and other substrates into cells, for smoking initiation in a South Asian population in a sex-specific pattern. Genetic markers could have potential translational implications for the prevention or treatment of tobacco use and addiction in South Asian populations and warrant further exploration.

Conflict of interest statement

Conflict of interest: The authors declare no conflict of interest.

Figures

Figure 1
Figure 1. Manhattan and QQ plots for GWAS of smoking initiation by gender
A. Ever versus never smoker among males. Depicts the Manhattan and QQ plots for the association with smoking initiation among males (adjusted for age, age×age, and genotyping batch). The spike on chromosome 17 corresponds to 7 SNPs (rs2567519, rs2714017, rs7406107, rs2714016, rs2714018, rs4793310, and rs2714011) in SLC39A11 with P<1 × 10−5. B. Ever versus never smoker among females. Depicts the Manhattan and QQ plots for the association with smoking initiation among females (adjusted for age, age×age, and genotyping batch). The spike on chromosome 15 corresponds to 6 SNPs (rs4778038, rs11074052, rs12901615, rs12912184, rs1386775, and rs7171020) near SLCO3A1 with P<1 × 10−5. The spike on the X chromosome corresponds to 20 SNPs (rs4240023, rs4826404, rs2499862, rs4265330, rs5914419, rs2375467, rs2104429, rs1325570, rs4826434, rs4466536, rs4639650, rs17002956, rs7876496, rs5913884, rs2150887, rs12011574, rs12008339, rs5960712, rs6521385, and rs7876062) in the Xp11.21 region with P<1 × 10−5.
Figure 2
Figure 2. Regional association plot for 17q21 SLC39A11 region for smoking initiation among males
P values were generated using mixed models adjusted for age, age×age, and genotyping batch, accounting for relatedness. The strongest associated SNP is labeled.
Figure 3
Figure 3. Regional association plot for smoking initiation among females
A. 15q26 region. P values were generated using mixed models adjusted for age, age×age, and genotyping batch, accounting for relatedness. The strongest associated SNP is labeled. B. Xp11.21 region. P values were generated using mixed models adjusted for age, age×age, and genotyping batch, accounting for relatedness. The strongest associated SNP is labeled.
Figure 3
Figure 3. Regional association plot for smoking initiation among females
A. 15q26 region. P values were generated using mixed models adjusted for age, age×age, and genotyping batch, accounting for relatedness. The strongest associated SNP is labeled. B. Xp11.21 region. P values were generated using mixed models adjusted for age, age×age, and genotyping batch, accounting for relatedness. The strongest associated SNP is labeled.

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