Evidence map›Paper›PMID 33465101›Full record

ArticlePloS one2021

Coffee consumption and risk of breast cancer: A Mendelian randomization study.

Merete Ellingjord-Dale, Nikos Papadimitriou, Michail Katsoulis, Chew Yee, Niki Dimou, Dipender Gill, Dagfinn Aune, Jue-Sheng Ong, Stuart MacGregor, Benjamin Elsworth and 4 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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

14 authors.

Merete Ellingjord-DaleDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0003-2758-0140
Nikos PapadimitriouSection of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France.
Michail KatsoulisInstitute of Health Informatics Research, Faculty of Population Health Sciences, University College London, London, United Kingdom.
Chew YeeDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Niki DimouSection of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France.
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-7312-7078
Dagfinn AuneDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Jue-Sheng OngStatistical Genetics, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Stuart MacGregorStatistical Genetics, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Benjamin ElsworthMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Sarah J LewisMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Richard M MartinMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Elio RiboliDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Konstantinos K TsilidisDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.

Funding

British Heart Foundation FS/18/5/33319Cancer Research UK 19169Cancer Research UK 29019Cancer Research UK C18281/A19169Department of HealthMedical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/2Medical Research Council MC_UU_12013/3World Health Organization 001
6 · The paper itself

Abstract

backgroundObservational studies have reported either null or weak protective associations for coffee consumption and risk of breast cancer.

methodsWe conducted a two-sample Mendelian randomization (MR) analysis to evaluate the relationship between coffee consumption and breast cancer risk using 33 single-nucleotide polymorphisms (SNPs) associated with coffee consumption from a genome-wide association (GWA) study on 212,119 female UK Biobank participants of White British ancestry. Risk estimates for breast cancer were retrieved from publicly available GWA summary statistics from the Breast Cancer Association Consortium (BCAC) on 122,977 cases (of which 69,501 were estrogen receptor (ER)-positive, 21,468 ER-negative) and 105,974 controls of European ancestry. Random-effects inverse variance weighted (IVW) MR analyses were performed along with several sensitivity analyses to assess the impact of potential MR assumption violations.

resultsOne cup per day increase in genetically predicted coffee consumption in women was not associated with risk of total (IVW random-effects; odds ratio (OR): 0.91, 95% confidence intervals (CI): 0.80-1.02, P: 0.12, P for instrument heterogeneity: 7.17e-13), ER-positive (OR = 0.90, 95% CI: 0.79-1.02, P: 0.09) and ER-negative breast cancer (OR: 0.88, 95% CI: 0.75-1.03, P: 0.12). Null associations were also found in the sensitivity analyses using MR-Egger (total breast cancer; OR: 1.00, 95% CI: 0.80-1.25), weighted median (OR: 0.97, 95% CI: 0.89-1.05) and weighted mode (OR: 1.00, CI: 0.93-1.07).

conclusionsThe results of this large MR study do not support an association of genetically predicted coffee consumption on breast cancer risk, but we cannot rule out existence of a weak association.

Indexed as

AdultBreast NeoplasmsCoffeeDatabases, FactualDatabases, GeneticFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisMiddle AgedOdds RatioPolymorphism, Single NucleotideRandom AllocationRisk FactorsWhite PeopleCoffee

Identifiers

PMID33465101
PMCPMC7815134

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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.