Evidence map›Paper›PMID 29760501›Full record

SynthesisScientific reports2018

Habitual coffee consumption and cognitive function: a Mendelian randomization meta-analysis in up to 415,530 participants.

Ang Zhou, Amy E Taylor, Ville Karhunen, Yiqiang Zhan, Suvi P Rovio, Jari Lahti, Per Sjögren, Liisa Byberg, Donald M Lyall, Juha Auvinen and 18 more

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Habitual caffeine intake, genetics and cognitive performance.Journal of psychopharmacology (Oxford, England) · 2025
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
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  15. Review
  16. Time to Recover From Daily Caffeine Intake.Frontiers in nutrition · 2021
    Article
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  18. Article
  19. Review
  20. Article
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

28 authors.

Ang ZhouAustralian Centre for Precision Health, University of South Australia, Adelaide, Australia.
Amy E TaylorMRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Bristol, UK.
Ville KarhunenCenter for Life Course Health Research, University of Oulu, Oulu, Finland.
Yiqiang ZhanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Suvi P RovioResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Jari LahtiHelsinki Collegium for Advanced Studies, Helsinki, Finland.ORCID 0000-0002-4310-5297
Per SjögrenDepartment of Public Health and Caring Sciences, Clinical Nutrition and Metabolism. Uppsala University, Uppsala, Sweden.
Liisa BybergDepartment of Surgical Sciences, Orthopaedics, Uppsala University, Uppsala, Sweden.
Donald M LyallInstitute of Health & Wellbeing, University of Glasgow, Glasgow, UK.ORCID 0000-0003-3850-1487
Juha AuvinenCenter for Life Course Health Research, University of Oulu, Oulu, Finland.
Terho LehtimäkiDepartment of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.
Mika KähönenDepartment of Clinical Physiology, Tampere University Hospital and Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.
Nina Hutri-KähönenDepartment of Pediatrics, Tampere University Hospital and Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.
Mia Maria PeräläDepartment of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland.
Karl MichaëlssonDepartment of Surgical Sciences, Orthopaedics, Uppsala University, Uppsala, Sweden.
Anubha MahajanWellcome Centre for Human Genetics, Nuffield Department of Medicine, Oxford, OX3 7BN, UK.ORCID 0000-0001-5585-3420
Lars LindDepartment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden.
Chris PowerPopulation, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK.
Johan G ErikssonDepartment of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Olli T RaitakariResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Sara HäggDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-2452-1500
Nancy L PedersenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Juha VeijolaDepartment of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland.
Marjo-Riitta JärvelinCenter for Life Course Health Research, University of Oulu, Oulu, Finland.
Marcus R MunafòMRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Bristol, UK.ORCID 0000-0002-4049-993X
Erik IngelssonDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
David J LlewellynUniversity of Exeter Medical School, Exeter, United Kingdom.
Elina HyppönenAustralian Centre for Precision Health, University of South Australia, Adelaide, Australia. Elina.Hypponen@unisa.edu.au.

Funding

Causal associations of circulating biomarkers with cardiovascular diseaseR01HL135313 · NHLBI · STANFORD UNIVERSITY · PI INGELSSON, ERIK · 2017 to 2019
$1.6M
Medical Research Council G1001799Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_00011/7Medical Research Council MR/N01104X/1Medical Research Council MR/N01104X/2NHLBI NIH HHS R01 HL135313
6 · The paper itself

Abstract

Coffee's long-term effect on cognitive function remains unclear with studies suggesting both benefits and adverse effects. We used Mendelian randomization to investigate the causal relationship between habitual coffee consumption and cognitive function in mid- to later life. This included up to 415,530 participants and 300,760 coffee drinkers from 10 meta-analysed European ancestry cohorts. In each cohort, composite cognitive scores that capture global cognition and memory were computed using available tests. A genetic score derived using CYP1A1/2 (rs2472297) and AHR (rs6968865) was chosen as a proxy for habitual coffee consumption. Null associations were observed when examining the associations of the genetic score with global and memory cognition (β = -0.0007, 95% C.I. -0.009 to 0.008, P = 0.87; β = -0.001, 95% C.I. -0.005 to 0.002, P = 0.51, respectively), with high consistency between studies (P

Indexed as

Basic Helix-Loop-Helix ProteinsBiological Specimen BanksCaffeineCoffeeCognitionCohort StudiesCytochrome P-450 CYP1A1Cytochrome P-450 CYP1A2EuropeFemaleGenetic VariationHumansMaleMemoryMendelian Randomization AnalysisPolymorphism, Single NucleotideAHR protein, humanBasic Helix-Loop-Helix ProteinsCaffeineCoffeeCYP1A1 protein, humanCYP1A2 protein, humanCytochrome P-450 CYP1A1Cytochrome P-450 CYP1A2Receptors, Aryl Hydrocarbon

Identifiers

PMID29760501
PMCPMC5951917

What OpenQuestion holds

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Read underepoch 390

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.