Evidence map›Paper›PMID 27027469›Full record

ArticleAddiction biology2017

Smoking and caffeine consumption: a genetic analysis of their association.

Jorien L Treur, Amy E Taylor, Jennifer J Ware, Michel G Nivard, Michael C Neale, George McMahon, Jouke-Jan Hottenga, Bart M L Baselmans, Dorret I Boomsma, Marcus R Munafò and 1 more

Abstract readTwin Study
In one paragraph

Article in Addiction biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Genome-wide association studies of coffee intake in UK/US participants of European ancestry uncover cohort-specific genetic associations.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Observational
  18. Observational
  19. Article
  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

11 authors.

Jorien L TreurDepartment of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands.
Amy E TaylorUK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology, University of Bristol, Bristol, UK.
Jennifer J WareMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
Michel G NivardDepartment of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands.
Michael C NealeVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
George McMahonMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
Jouke-Jan HottengaDepartment of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands.
Bart M L BaselmansDepartment of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands.
Dorret I BoomsmaDepartment of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands.
Marcus R MunafòUK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology, University of Bristol, Bristol, UK.
Jacqueline M VinkDepartment of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands.

Funding

NIMH Center Repository Supporting Stem Cell ResearchU24MH068457 · NIMH · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI BRZUSTOWICZ, LINDA M, KNOWLES, JAMES A · 2003 to 2024
$213.8M
LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI MEINZEN-DERR, JAREEN, STRAWN, JEFFREY ROBERT · 2015 to 2024
$37.5M
Integration of Genomics & Transcriptomics in Normal Twins & Major DepressionRC2MH089951 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2009 to 2010
$6.5M
Genomics of Developmental Trajectories in TwinsRC2MH089995 · NIMH · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HUDZIAK, JAMES J. · 2009 to 2010
$3.8M
Psychometric and Genetic Assessments of Substance UseR01DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2004 to 2019
$2.3M
Collaborative Study of Genetics of Dizygotic TwinningR01HD042157 · NICHD · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI MONTGOMERY, GRANT W · 2002 to 2006
$2.0M
Major Depression: Stage 1 Genomewide Association in Population-Based SamplesR01MH081802 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2007 to 2007
$138k
European Research Council 230374European Research Council 284167Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_UU_12013/3Medical Research Council MC_UU_12013/6Medical Research Council MR/K023195/1NCATS NIH HHS UL1 TR001425NICHD NIH HHS R01 HD042157NIDA NIH HHS R01 DA018673NIMH NIH HHS R01 MH081802NIMH NIH HHS RC2 MH089951NIMH NIH HHS RC2 MH089995NIMH NIH HHS U24 MH068457Wellcome Trust 102215
6 · The paper itself

Abstract

Smoking and caffeine consumption show a strong positive correlation, but the mechanism underlying this association is unclear. Explanations include shared genetic/environmental factors or causal effects. This study employed three methods to investigate the association between smoking and caffeine. First, bivariate genetic models were applied to data of 10 368 twins from the Netherlands Twin Register in order to estimate genetic and environmental correlations between smoking and caffeine use. Second, from the summary statistics of meta-analyses of genome-wide association studies on smoking and caffeine, the genetic correlation was calculated by LD-score regression. Third, causal effects were tested using Mendelian randomization analysis in 6605 Netherlands Twin Register participants and 5714 women from the Avon Longitudinal Study of Parents and Children. Through twin modelling, a genetic correlation of r0.47 and an environmental correlation of r0.30 were estimated between current smoking (yes/no) and coffee use (high/low). Between current smoking and total caffeine use, this was r0.44 and r0.00, respectively. LD-score regression also indicated sizeable genetic correlations between smoking and coffee use (r0.44 between smoking heaviness and cups of coffee per day, r0.28 between smoking initiation and coffee use and r0.25 between smoking persistence and coffee use). Consistent with the relatively high genetic correlations and lower environmental correlations, Mendelian randomization provided no evidence for causal effects of smoking on caffeine or vice versa. Genetic factors thus explain most of the association between smoking and caffeine consumption. These findings suggest that quitting smoking may be more difficult for heavy caffeine consumers, given their genetic susceptibility.

Indexed as

AdultCaffeineCentral Nervous System StimulantsFemaleGenome-Wide Association StudyHumansLongitudinal StudiesMaleNetherlandsRegistriesRisk FactorsSmokingSurveys and QuestionnairesTwinsCaffeineCentral Nervous System StimulantsALSPACcaffeineLD-score regressionMendelian randomizationsmokingtwin modelling

Identifiers

PMID27027469
PMCPMC5045318

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.