Cited by 49Coffee research and impactsGenetic Associations and EpidemiologyPharmacogenetics and Drug Metabolism

Phenotype Refinement Strengthens the Association of AHR and CYP1A1 Genotype with Caffeine Consumption

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McMahon, George, Taylor, Amy E., Davey Smith, George, Munafò, Marcus R.·2014·PLoS ONE

Abstract

Two genetic loci, one in the cytochrome P450 1A1 (CYP1A1) and 1A2 (CYP1A2) gene region (rs2472297) and one near the aryl-hydrocarbon receptor (AHR) gene (rs6968865), have been associated with habitual caffeine consumption. We sought to establish whether a more refined and comprehensive assessment of caffeine consumption would provide stronger evidence of association, and whether a combined allelic score comprising these two variants would further strengthen the association. We used data from between 4,460 and 7,520 women in the Avon Longitudinal Study of Parents and Children, a longitudinal birth cohort based in the United Kingdom. Self-report data on coffee, tea and cola consumption (including consumption of decaffeinated drinks) were available at multiple time points. Both genotypes were individually associated with total caffeine consumption, and with coffee and tea consumption. There was no association with cola consumption, possibly due to low levels of consumption in this sample. There was also no association with measures of decaffeinated drink consumption, indicating that the observed association is most likely mediated via caffeine. The association was strengthened when a combined allelic score was used, accounting for up to 1.28% of phenotypic variance. This was not associated with potential confounders of observational association. A combined allelic score accounts for sufficient phenotypic variance in caffeine consumption that this may be useful in Mendelian randomization studies. Future studies may therefore be able to use this combined allelic score to explore causal effects of habitual caffeine consumption on health outcomes.

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  • In the McMahon et al. (2014) study, the proportion of phenotypic variance explained by the two genotypes was small: CYP1A1 accounted for 0.15-0.88%, AHR for 0.04-0.048%, and the two combined for about 0.16-1.28%.

    “the proportion of phenotypic variance (i.e.observed variability in caffeine intake) explained by these two genotypes was small: CYP1A1 accounted for 0.15-0.88%, AHR accounted for 0.04-0.048% and the two combined accounted for about 0.16-1.28%.”

    From Scientific Opinion on the safety of caffeine (2015) · cites this paper as McMahon et al., 2014

  • In the McMahon et al. (2014) study, both genotypes were individually associated with total caffeine consumption and with the consumption of caffeinated drinks at all time points, but not with the consumption of decaffeinated drinks.

    “Both genotypes were individually associated with total caffeine consumption and with the consumption of caffeinated drinks (coffee and tea) at all time points, but not with the consumption of decaffeinated drinks.”

    From Scientific Opinion on the safety of caffeine (2015) · cites this paper as McMahon et al., 2014

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References 46 · Cited by 49

Authors
McMahon, G., Taylor, A. E., Davey Smith, G., & Munafò, M. R.
Affiliations
University of Bristol (GB)
Venue
PLoS ONE
Published
2014-07-30
Volume
9
Issue
7
Pages
e103448
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2048610563
Cited by
49
References
46
Citations by year
2026: 1 · 2025: 1 · 2024: 2 · 2023: 6 · 2022: 5 · 2021: 3 · 2020: 5 · 2019: 7 · 2018: 6 · 2017: 7 · 2016: 4 · 2015: 2
FWCI
3.15
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Bristol Research (University of Bristol) (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
  • Explore Bristol Research (submittedVersion)
Funders
  • Wellcome Trust (MC_UU_12013/1, 102215, 092731)
  • United Kingdom Clinical Research Collaboration
  • Cancer Research UK
  • National Institute for Health and Care Research (MC_UU_12013/1)
  • British Heart Foundation (092731)
  • University of Bristol (MC_UU_12013/1, MC_UU_12013/1,9, 092731, MC_UU_12013)
  • National Institutes of Health (UL1TR001425)
  • Medical Research Council (G0802736, G0800612, MC_UU_12013, MR/J01351X/1, MC_UU_12013/1‐9, MCUU12013/1, MC_PC_15018, 092731, MR/K023233/1)
  • Economic and Social Research Council
  • National Center for Advancing Translational Sciences
Topics
  • Health Sciences › Medicine › Pharmacology › Coffee research and impacts
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
Keywords
caffeine consumption, aryl hydrocarbon receptor, CYP1A1, CYP1A2, coffee consumption, tea consumption, cola consumption, genetic association, Mendelian randomization, Avon Longitudinal Study of Parents and Children
MeSH terms
Adult, Caffeine, Drinking Behavior, Female, Genotype, Humans, Life Style, Longitudinal Studies, Phenotype, Pregnancy, Surveys and Questionnaires, Genetic Variation, Receptors, Aryl Hydrocarbon, Cytochrome P-450 CYP1A1, Polymorphism, Single Nucleotide, Basic Helix-Loop-Helix Proteins, Self Report

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