Do different genotypes influence the effect of caffeine?

    Last Updated: October 13, 2024

    A genotype describes a variant of a gene that can alter the function of the protein the gene is translated into. There are specific proteins (enzymes) in the body that metabolize caffeine and there are several variants of the genes that produce those enzymes. One enzyme, cytochrome P450 1A2, which is responsible for approximately 95% of caffeine metabolism, is coded by the CYP1A2 gene. Different variants of this gene cause people to be “slow” or “fast” metabolizers of caffeine. The current evidence shows that variants in the CYP1A2 gene may influence habitual caffeine intake[1][2] and caffeine’s effect on cognitive function.[3] While some studies implicate CYP1A2 gene variants in the effect of caffeine on sports performance, the effects are highly variable and further high-quality studies are needed.[4][5]

    Variants of the ADORA2A gene, which codes the adenosine A2A receptor protein, affect caffeine’s ability to prevent adenosine binding to adenosine receptors. This causes people to have “high” or “low” caffeine sensitivity. The current evidence shows that variants in the ADORA2A gene may influence the anxiogenic (anxiety-causing)[1][3] and sleep-disturbing[3][6][7][8] effects of caffeine.

    Some studies find a relationship between different CYP1A2 and ADORA2A genotypes and cardiometabolic risk factors, like blood glucose responses to a meal and blood pressure.[9] However, the current evidence suggests that different genotypes do not influence the effect of caffeine on cardiovascular disease risk.[10][11]

    References

    1. ^Fulton JL, Dinas PC, Carrillo AE, Edsall JR, Ryan EJ, Ryan EJImpact of Genetic Variability on Physiological Responses to Caffeine in Humans: A Systematic ReviewNutrients.(2018 Sep 25)
    2. ^Cornelis MC, Monda KL, Yu K, Paynter N, Azzato EM, Bennett SN, Berndt SI, Boerwinkle E, Chanock S, Chatterjee N, Couper D, Curhan G, Heiss G, Hu FB, Hunter DJ, Jacobs K, Jensen MK, Kraft P, Landi MT, Nettleton JA, Purdue MP, Rajaraman P, Rimm EB, Rose LM, Rothman N, Silverman D, Stolzenberg-Solomon R, Subar A, Yeager M, Chasman DI, van Dam RM, Caporaso NEGenome-wide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption.PLoS Genet.(2011-Apr)
    3. ^Kapellou A, King A, Graham CAM, Pilic L, Mavrommatis YGenetics of caffeine and brain-related outcomes - a systematic review of observational studies and randomized trials.Nutr Rev.(2023-Apr-08)
    4. ^Jozo Grgic, Craig Pickering, Juan Del Coso, Brad J Schoenfeld, Pavle MikulicCYP1A2 genotype and acute ergogenic effects of caffeine intake on exercise performance: a systematic reviewEur J Nutr.(2020 Nov 2)
    5. ^Barreto G, Esteves GP, Marticorena F, Oliveira TN, Grgic J, Saunders BCaffeine, CYP1A2 Genotype and Exercise Performance: A Systematic Review and Meta-analysis.Med Sci Sports Exerc.(2023-Oct-12)
    6. ^Mégane Erblang, Catherine Drogou, Danielle Gomez-Merino, Arnaud Metlaine, Anne Boland, Jean François Deleuze, Claire Thomas, Fabien Sauvet, Mounir ChennaouiThe Impact of Genetic Variations in ADORA2A in the Association between Caffeine Consumption and SleepGenes (Basel).(2019 Dec 6)
    7. ^Rafael Almeida Nunes, Diego Robles Mazzotti, Camila Hirotsu, Monica L Andersen, Sergio Tufik, Lia BittencourtThe association between caffeine consumption and objective sleep variables is dependent on ADORA2A c.1083T>C genotypesSleep Med.(2017 Feb)
    8. ^Byrne EM, Johnson J, McRae AF, Nyholt DR, Medland SE, Gehrman PR, Heath AC, Madden PA, Montgomery GW, Chenevix-Trench G, Martin NGA genome-wide association study of caffeine-related sleep disturbance: confirmation of a role for a common variant in the adenosine receptor.Sleep.(2012-Jul-01)
    9. ^Virgili J, Motitis P, Julal G, Mavrommatis Y, Pilic LThe impact of genetic variability on the relationship between caffeine and cardiometabolic outcomes: A systematic review.Nutr Bull.(2023-Mar)
    10. ^Zhou A, Hyppönen ELong-term coffee consumption, caffeine metabolism genetics, and risk of cardiovascular disease: a prospective analysis of up to 347,077 individuals and 8368 casesAm J Clin Nutr.(2019 Mar 1)
    11. ^Said MA, van de Vegte YJ, Verweij N, van der Harst PAssociations of Observational and Genetically Determined Caffeine Intake With Coronary Artery Disease and Diabetes Mellitus.J Am Heart Assoc.(2020-Dec-15)