ReviewHereditas2026
Unraveling the complexities of caffeine: metabolism, genetics, evolution, and health.
Review in Hereditas, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Genetic Variants Influencing Taste Perception and Food Preferences: Current Evidence.Nutrients · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Caffeine (1,3,7-trimethylxanthine) is the most widely consumed psychoactive substance globally, yet individuals differ strikingly in their physiological and health responses. These differences arise from the combined effects of genetic variation, evolutionary history, lifestyle exposures, and cultural practices. In this review, we synthesize current knowledge on the pharmacokinetics of caffeine, emphasizing the central role of the hepatic enzyme CYP1A2 and its transcriptional regulator AHR in determining metabolic rate. We summarize functional polymorphisms, haplotypes, and genome-wide association signals that underlie the spectrum from slow to rapid metabolizers, and integrate population-genetic and ancient DNA evidence to reveal how evolutionary pressures have shaped global patterns of caffeine tolerance. We further examine non-genetic modulators—including smoking, pregnancy, diet, and commonly prescribed medications—that dynamically influence CYP1A2 activity. Finally, we discuss how genetic variation interacts with coffee and tea’s diverse bioactive components to influence cardiovascular, neurological, and metabolic outcomes. By uniting pharmacogenomics, evolutionary genetics, and epidemiology, this review highlights the need for personalized caffeine intake recommendations that account for genetic background, beverage preparation methods, and individual health status.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.