Smoking status, snus use, and variation at the CHRNA5-CHRNA3-CHRNB4 locus in relation to obesity: The GLACIER study

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Abstract

A genetic variant within the CHRNA5-CHRNA3-CHRNB4 region (rs1051730), previously associated with smoking quantity, was recently shown to interact with smoking on obesity predisposition. We attempted to replicate this finding in the Gene-Lifestyle Interactions and Complex Traits Involved in Elevated Disease Risk (GLACIER) Study, a prospective cohort study of adults from northern Sweden (n = 16,426). We also investigated whether a similar interaction is apparent between rs1051730 and snus, a type of moist oral tobacco, to determine whether this interaction is driven by factors that cigarettes and snus have in common, such as nicotine. Main effects of smoking, snus, and the rs1051730 variant and pairwise interaction terms (smoking × rs1051730 and snus × rs1051730) were tested in relation to body mass index (BMI; calculated as weight (kg)/height (m)2) through the use of multivariate linear models adjusted for age and sex. Smoking status and BMI were inversely related (β = -0.46 kg/m2, standard error (SE) = 0.08; P < 0.0001). Snus use and BMI were positively related (β = 0.35 kg/m2, SE = 0.12; P = 0.003). The rs1051730 variant was not significantly associated with smoking status or snus use (P > 0.05); the T allele was associated with lower BMI in the overall cohort (β = -0.10 kg/m2, SE = 0.05; P = 0.03) and with smoking quantity in those in whom this was measured (n = 5,304) (β = 0.08, SE = 0.01; P < 0.0001). Neither smoking status (Pinteraction = 0.29) nor snus use (Pinteraction = 0.89) modified the association between the rs1051730 variant and BMI. © The Author 2013. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved.

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Varga, T. V., Hallmans, G., Hu, F. B., Renström, F., & Franks, P. W. (2013). Smoking status, snus use, and variation at the CHRNA5-CHRNA3-CHRNB4 locus in relation to obesity: The GLACIER study. American Journal of Epidemiology, 178(1), 31–37. https://doi.org/10.1093/aje/kws413

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