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. 2017 Jul;22(4):1090-1102.
doi: 10.1111/adb.12391. Epub 2016 Mar 30.

Smoking and caffeine consumption: a genetic analysis of their association

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Smoking and caffeine consumption: a genetic analysis of their association

Jorien L Treur et al. Addict Biol. 2017 Jul.

Abstract

Smoking and caffeine consumption show a strong positive correlation, but the mechanism underlying this association is unclear. Explanations include shared genetic/environmental factors or causal effects. This study employed three methods to investigate the association between smoking and caffeine. First, bivariate genetic models were applied to data of 10 368 twins from the Netherlands Twin Register in order to estimate genetic and environmental correlations between smoking and caffeine use. Second, from the summary statistics of meta-analyses of genome-wide association studies on smoking and caffeine, the genetic correlation was calculated by LD-score regression. Third, causal effects were tested using Mendelian randomization analysis in 6605 Netherlands Twin Register participants and 5714 women from the Avon Longitudinal Study of Parents and Children. Through twin modelling, a genetic correlation of r0.47 and an environmental correlation of r0.30 were estimated between current smoking (yes/no) and coffee use (high/low). Between current smoking and total caffeine use, this was r0.44 and r0.00, respectively. LD-score regression also indicated sizeable genetic correlations between smoking and coffee use (r0.44 between smoking heaviness and cups of coffee per day, r0.28 between smoking initiation and coffee use and r0.25 between smoking persistence and coffee use). Consistent with the relatively high genetic correlations and lower environmental correlations, Mendelian randomization provided no evidence for causal effects of smoking on caffeine or vice versa. Genetic factors thus explain most of the association between smoking and caffeine consumption. These findings suggest that quitting smoking may be more difficult for heavy caffeine consumers, given their genetic susceptibility.

Keywords: ALSPAC; LD-score regression; Mendelian randomization; caffeine; smoking; twin modelling.

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Figures

Figure 1
Figure 1
Overview of three methods employed to investigate the association between smoking and caffeine consumption. The asterisk (*) means that the original measure from TAG (2010) was smoking cessation (0 = current smoking, 1 = former smoking); this was defined here as smoking persistence (0 = former smoking, 1 = current smoking). NTR, Netherlands Twin Register; ALSPAC, Avon Longitudinal Study of Parents and Children; TAG, Tobacco, Alcohol and Genetics Consortium; GWAS, genome‐wide association studies
Figure 2
Figure 2
Principle of bidirectional Mendelian randomization (MR) applied to the association between smoking and caffeine use. Smoking SNP = rs1051730; caffeine use SNP score = genetic risk score of caffeine use based on eight SNPs (rs1260326, rs1481012, rs6968554, rs7800944, rs17685, rs6265, rs2472297 and rs9902453). (a) Under a causal effect of smoking on caffeine use, the smoking SNP should, through its effect on smoking heaviness, increase caffeine use (among smokers only). (b) Under a causal effect of caffeine use on smoking, the caffeine use SNP score should, through its effect on caffeine use, increase smoking heaviness, smoking initiation and/or smoking cessation. MR rules out reverse causation [represented by the arrow going from caffeine use to the smoking SNP in (a) and from smoking to the caffeine use SNP score in (b)]. An important aspect of MR is that the genotype in question should not be associated with confounders [represented by the arrow going from the smoking SNP to confounders in (a) and from the caffeine use SNP score to confounders in (b)]

References

    1. Benowitz NL, Peng M, Jacob P (2003) Effects of cigarette smoking and carbon monoxide on chlorzoxazone and caffeine metabolism. Clin Pharmacol Ther 74:468–474. DOI: 10.1016/j.clpt.2003.07.001. - DOI - PubMed
    1. Boker S, Neale M, Maes H, Wilde M, Spiegel M, Brick T, Spies J, Estabrook R, Kenny S, Bates T, Mehta P, Fox J (2011) OpenMx: an open source extended structural equation modeling framework. Psychometrika 76:306–317. DOI: 10.1007/s11336-010-9200-6. - DOI - PMC - PubMed
    1. Boyd A, Golding J, Macleod J, Lawlor DA, Fraser A, Henderson J, Molloy L, Ness A, Ring S, Davey Smith G (2012) Cohort profile: the ‘Children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children. Int J Epidemiol DOI: 10.1093/ije/dys064. - DOI - PMC - PubMed
    1. Brion M‐JA, Shakhbazov K, Visscher PM (2013) Calculating statistical power in Mendelian randomization studies. Int J Epidemiol 42:1497–1501. DOI: 10.1093/ije/dyt179. - DOI - PMC - PubMed
    1. Bulik‐Sullivan B, Finucane HK, Anttila V, Gusev A, Day FR, Loh PR, ReproGen Consortium , Psychiatric Genomics Consortium , Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3 , Duncal L, Perry JR, Patterson N, Robinson EB, Daly MJ, Price AL, Neale BM (2015a). An Atlas of Genetic Correlations across Human Diseases and Traits. Nat Genet 47:1236–1241. - PMC - PubMed

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