Evidence map›Paper›PMID 40836180›Full record

ArticleEuropean journal of nutrition2025

Interaction between coffee consumption and polygenic risk score in relation to diabetes: insights from the Maastricht study.

Yufeng Rao, Evan Yi-Wen Yu, Tzu-Yao Lin, Yiming Chen, Yingfen Qin, Annemarie Koster, Simone J P M Eussen, Hans Bosma, Tos T J M Berendschot, Carla J H van der Kallen and 4 more

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In one paragraph

Article in European journal of nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yufeng RaoDepartment of Epidemiology, Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.
Evan Yi-Wen YuDepartment of Epidemiology, Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.
Tzu-Yao LinDepartment of Methodology & Statistics, Maastricht University, Maastricht, The Netherlands.
Yiming ChenDepartment of Epidemiology, Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.
Yingfen QinDepartment of Endocrinology, The First Affiliated Hospital of GuangXi Medical University, Nanning, 530021, Guangxi, People's Republic of China.
Annemarie KosterCare and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
Simone J P M EussenDepartment of Epidemiology, Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.
Hans BosmaCare and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
Tos T J M BerendschotInstitute of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.
Carla J H van der KallenCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
Marleen M J van GreevenbroekCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
Bastiaan E de GalanCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
Maurice P ZeegersDepartment of Epidemiology, Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.
Anke WesseliusDepartment of Epidemiology, Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands. anke.wesselius@maastrichtuniversity.nl.ORCID http://orcid.org/0000-0003-4474-9665

Funding

European Regional Development Fund via OP-Zuid, the Province of Limburg, the Dutch Ministry of Economic Affairs grant 31O.041
6 · The paper itself

Abstract

aimsThis study investigated the associations of polygenic risk score (PRS) and coffee consumption, as well as their interaction, with prediabetes and type 2 Diabetes Mellitus (T2DM) among participants in the southern Netherlands.

methods7668 participants were classified as normal glucose metabolism (NGM), prediabetes, or T2DM based on World Health Organization 2006 criteria. PRS (423 T2DM-related single nucleotide polymorphisms) and coffee consumption (via food frequency questionnaire) were categorized into tertiles (low, medium, and high) based on the population distribution. Multinomial logistic regression and dose-response analyses were performed to evaluate the cross-sectional associations between PRS and coffee consumption with prediabetes and T2DM.

resultsFully adjusted analyses indicated that medium and high coffee consumption were associated with lower odds of prediabetes (odds ratios [ORs]: 0.80; 95% CI: 0.69, 0.92 and 0.83; 95% CI: 0.72, 0.96) and T2DM (ORs: 0.80; 95% CI: 0.70, 0.91 and 0.80; 95% CI: 0.70, 0.91). U-shaped associations were observed for both prediabetes and T2DM, with the overlapping range of 2.9-6.9 cups/day statistically associated with lower odds (OR < 1) for both conditions. Additionally, participants in the PRS group had higher odds of prediabetes (OR: 1.58; 95% CI: 1.35, 1.86) and T2DM (OR: 3.16; 95% CI: 2.80, 3.56) compared to the low PRS group. No significant interaction was found between PRS and coffee consumption (P = 0.21).

conclusionsNo significant interaction was observed between coffee consumption and PRS for prediabetes and T2DM. Coffee consumption was associated with the prevalence of both conditions in a pattern that may be U-shaped. However, these associations appear to be population-specific and require validation in diverse populations to clarify gene-lifestyle interactions.

Indexed as

CoffeeDiabetes Mellitus, Type 2Multifactorial InheritancePrediabetic StateAdultAgedCross-Sectional StudiesFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansMaleMiddle AgedNetherlandsPolymorphism, Single NucleotideRisk FactorsCoffeeCoffee consumptionDose–responsePolygenic risk scorePrediabetesType 2 diabetes mellitus

Identifiers

PMID40836180
PMCPMC12367902

What Socratic holds

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LicenceCC BY
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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 Socratic graph.