ArticleJournal of sleep research2018
Investigating genetic correlations and causal effects between caffeine consumption and sleep behaviours.
Article in Journal of sleep research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
14 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The Caffeinated Brain Part 2: The Effect of Caffeine on Sleep-Related Electroencephalography (EEG)-A Systematic and Mechanistic Review.Nutrients · 2026Pooled it
- Multi-ancestry genome-wide analysis identifies shared genetic effects and common genetic variants for self-reported sleep duration.Human molecular genetics · 2023Pooled it
- Using Mendelian randomization analysis to better understand the relationship between mental health and substance use: a systematic review.Psychological medicine · 2021Pooled it
- Exploring the Relationship Between Caffeine Consumption, Caffeine Metabolism, and Sleep Behaviours: A Mendelian Randomisation Study.Journal of sleep research · 2026Article
- Community-based causal evidence that high habitual caffeine consumption alters distinct polysomnography-derived sleep variables.Journal of psychopharmacology (Oxford, England) · 2025Article
- Comparison of caffeine consumption behavior with plasma caffeine levels as exposure measures in drug-target mendelian randomization.American journal of epidemiology · 2024Article
- Selection of genetic instruments in Mendelian randomisation studies of sleep traits.Sleep medicine · 2023Review
- Multi-Metabolomics Coupled with Quantitative Descriptive Analysis Revealed Key Alterations in Phytochemical Composition and Sensory Qualities of Decaffeinated Green and Black Tea from the Same Fresh Leaves.Foods (Basel, Switzerland) · 2022Article
- Article
- How Psychoactive Drugs and the Circadian Clock Are Enlightening One Another.Advances in experimental medicine and biology · 2021Article
- Habitual sleep disturbances and migraine: a Mendelian randomization study.Annals of clinical and translational neurology · 2020Article
- Approximation of bias and mean-squared error in two-sample Mendelian randomization analyses.Biometrics · 2020Article
- Investigating genetic correlations and causal effects between caffeine consumption and sleep behaviours.Journal of sleep research · 2018Article
- Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Observationally, higher caffeine consumption is associated with poorer sleep and insomnia. We investigated whether these associations are a result of shared genetic risk factors and/or (possibly bidirectional) causal effects. Summary-level data were available from genome-wide association studies on caffeine intake (n = 91 462), plasma caffeine and caffeine metabolic rate (n = 9876), sleep duration and chronotype (being a "morning" versus an "evening" person) (n = 128 266), and insomnia complaints (n = 113 006). First, genetic correlations were calculated, reflecting the extent to which genetic variants influencing caffeine consumption and those influencing sleep overlap. Next, causal effects were estimated with bidirectional, two-sample Mendelian randomization. This approach utilizes the genetic variants most robustly associated with an exposure variable as an "instrument" to test causal effects. Estimates from individual variants were combined using inverse-variance weighted meta-analysis, weighted median regression and MR-Egger regression. We found no clear evidence for a genetic correlation between caffeine intake and sleep duration (rg = 0.000, p = .998), chronotype (rg = 0.086, p = .192) or insomnia complaints (rg = -0.034, p = .700). For plasma caffeine and caffeine metabolic rate, genetic correlations could not be calculated because of the small sample size. Mendelian randomization did not support causal effects of caffeine intake on sleep, or vice versa. There was weak evidence that higher plasma caffeine levels causally decrease the odds of being a morning person. Although caffeine may acutely affect sleep when taken shortly before bedtime, our findings suggest that a sustained pattern of high caffeine consumption is more likely to be associated with poorer sleep through shared environmental factors. Future research should identify such environments, which could aid the development of interventions to improve sleep.
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Registered trials
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