Evidence map›Paper›PMID 28793181›Full record

Observational studyAddiction (Abingdon, England)2018

Associations of coffee genetic risk scores with consumption of coffee, tea and other beverages in the UK Biobank.

Amy E Taylor, George Davey Smith, Marcus R Munafò

Abstract readObservational Study
In one paragraph

Observational study in Addiction (Abingdon, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  5. Coffee consumption and cancer risk: a Mendelian randomisation study.Clinical nutrition (Edinburgh, Scotland) · 2022
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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

3 authors.

Amy E TaylorMRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0003-1853-0563
George Davey SmithMRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK.
Marcus R MunafòMRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK.

Funding

Medical Research Council MC_QA137853Medical Research Council MC_UU_00011/7Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/6
6 · The paper itself

Abstract

aimsTo evaluate the utility of coffee-related genetic variants as proxies for coffee consumption in Mendelian randomization studies, by examining their association with non-alcoholic beverage consumption (including subtypes of coffee and tea) and a range of socio-demographic and life-style factors.

designObservational study of the association of genetic risk scores for coffee consumption with different types of non-alcoholic beverage consumption.

settingUK general population.

participantsIndividuals of European ancestry aged 40-73 years from the UK Biobank between 2006 and 2010 (n = 114 316). MEASUREMENTS: Genetic risk scores were constructed using two, four and eight independent single nucleotide polymorphisms (SNPs) identified in genome-wide association studies (GWAS) of coffee consumption. Drinks were self-reported in a baseline questionnaire (all participants) and in detailed 24 dietary recall questionnaires in a subset (n = 48 692).

findingsGenetic risk scores explained up to 0.38, 0.19 and 0.76% of the variance in coffee, tea and combined coffee and tea consumption, respectively. Genetic risk scores demonstrated positive associations with both caffeinated and decaffeinated coffee and tea consumption, and with most subtypes of coffee consumption, but only with standard tea consumption. There was no clear evidence for positive associations with most other non-alcoholic beverages, but higher genetic risk for coffee consumption was associated with lower daily water consumption. The genetic risk scores were associated with increased alcohol consumption, but not consistently with other socio-demographic and life-style factors.

conclusionsCoffee-related genetic risk scores could be used as instruments for combined coffee and tea consumption in Mendelian randomization studies. However, associations observed with alcohol consumption require further investigation to determine whether these are due to causal effects of coffee and tea consumption or biological pleiotropy.

Indexed as

CoffeeDrinking BehaviorTeaAdultAgedBeveragesBiological Specimen BanksGenetic Predisposition to DiseaseHumansMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideUnited KingdomWhite PeopleCoffeeTeaCaffeinecoffeedrinksgeneticsMendelian randomizationtea

Identifiers

PMID28793181
PMCPMC5765424

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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.