Evidence map›Paper›PMID 38378567›Full record

ArticleBMC medicine2024

Genetic investigation into the broad health implications of caffeine: evidence from phenome-wide, proteome-wide and metabolome-wide Mendelian randomization.

Loukas Zagkos, Héléne T Cronjé, Benjamin Woolf, Roxane de La Harpe, Stephen Burgess, Christos S Mantzoros, Paul Elliott, Shuai Yuan, Susanna C Larsson, Ioanna Tzoulaki and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Association of coffee consumption with diabetes mellitus and gestational diabetes mellitus.International journal of cardiology. Cardiovascular risk and prevention · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. The rapid growth in Mendelian randomization studies.European journal of epidemiology · 2025
    Article
  7. Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 9 institutions in 6 countries.

Loukas Zagkos *Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Héléne T Cronjé *Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark.
Benjamin WoolfSchool of Psychological Science, University of Bristol, Bristol, UK.
Roxane de La HarpeUnit of Internal Medicine, Department of Medicine, University Hospital of Lausanne, Lausanne, Switzerland.
Stephen BurgessMedical Research Council Biostatistics Unit at the University of Cambridge, Cambridge, UK.
Christos S MantzorosDepartment of Medicine, Boston VA Healthcare System and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Paul ElliottDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Shuai YuanUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.
Susanna C LarssonUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.
Ioanna TzoulakiDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. dipender.gill@imperial.ac.uk.ORCID 0000-0001-7312-7078
British Heart Foundation · GBUniversity of Cambridge · GBAcademy of Athens · GRBeth Israel Deaconess Medical Center · USImperial College London · GBKarolinska Institutet · SEUniversity of Copenhagen · DKUniversity of Lausanne · CHUppsala University · SE

Funding

British Heart Foundation RE/18/4/34215Medical Research Council MC_UU_00002/7Wellcome Trust 100114Wellcome Trust (225790/Z/22/Z
6 · The paper itself

Abstract

backgroundCaffeine is one of the most utilized drugs in the world, yet its clinical effects are not fully understood. Circulating caffeine levels are influenced by the interplay between consumption behaviour and metabolism. This study aimed to investigate the effects of circulating caffeine levels by considering genetically predicted variation in caffeine metabolism.

methodsLeveraging genetic variants related to caffeine metabolism that affect its circulating levels, we investigated the clinical effects of plasma caffeine in a phenome-wide association study (PheWAS). We validated novel findings using a two-sample Mendelian randomization framework and explored the potential mechanisms underlying these effects in proteome-wide and metabolome-wide Mendelian randomization.

resultsHigher levels of genetically predicted circulating caffeine among caffeine consumers were associated with a lower risk of obesity (odds ratio (OR) per standard deviation increase in caffeine = 0.97, 95% confidence interval (CI) CI: 0.95-0.98, p = 2.47 × 10

conclusionsWe report novel evidence suggesting that long-term increases in circulating caffeine may reduce bodyweight and the risk of osteoarthrosis and osteoarthritis. We confirm prior genetic evidence of a protective effect of plasma caffeine on risk of overweight and obesity. Further clinical study is warranted to understand the translational relevance of these findings before clinical practice or lifestyle interventions related to caffeine consumption are introduced.

Indexed as

CaffeineOsteoarthritisGenome-Wide Association StudyHumansMendelian Randomization AnalysisMetabolomeObesityPolymorphism, Single NucleotideProteomeProteomicsCaffeineProteomeCaffeineMendelian randomizationObesityOsteoarthritisPhenome-wide association study

Identifiers

PMID38378567
PMCPMC10880284
OpenAlexW4391982344

What OpenQuestion holds

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Registered trials

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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.