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Smoking and caffeine consumption: a genetic analysis of their association

a genetic analysis of their association
Authors: Treur, Jorien L; Taylor, Amy E; Ware, Jen J; Nivard, Michel; Neale, Michael; McMahon, George; Hottenga, Jouke Jan; +4 Authors
APC: 2,065.86 EUR

Smoking and caffeine consumption: a genetic analysis of their association

Abstract

AbstractSmoking 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.

Countries
United Kingdom, Netherlands
Keywords

Netherlands Twin Register (NTR), Human Genetic Study, Adult, Male, LD-score regression, Twins, 610, twin modelling, smoking, SDG 3 - Good Health and Well-being, /dk/atira/pure/core/keywords/tobacco_and_alcohol; name=Tobacco and Alcohol, Risk Factors, Caffeine, Surveys and Questionnaires, Mendelian randomization, Humans, /dk/atira/pure/core/keywords/tobacco_and_alcohol, name=Tobacco and Alcohol, Longitudinal Studies, Registries, /dk/atira/pure/core/keywords/targ; name=TARG, caffeine, Netherlands, name=Brain and Behaviour, Smoking, /dk/atira/pure/core/keywords/brain_and_behaviour, /dk/atira/pure/core/keywords/brain_and_behaviour; name=Brain and Behaviour, ALSPAC, Central Nervous System Stimulants, Female, Developmental Psychopathology, Genome-Wide Association Study

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 10%
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gold