Evidence mapPaperPMID 41548598Full record

ArticleThe American journal of clinical nutrition2026

Interactions between genetic predisposition to obesity, insulin resistance and type 2 diabetes risk, and food or beverage intake for incident type 2 diabetes: European Prospective Investigation into Cancer and Nutrition (EPIC) InterAct case-cohort study.

Sherly X Li, Fumiaki Imamura, Stephen J Sharp, Matthias B Schulze, Ju-Sheng Zheng, Pilar Amiano, Eva Ardanaz, Manuela M Bergmann, Maria-Dolores Chirlaque, Guy Fagherazzi and 22 more

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Article in The American journal of clinical nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

32 authors.

Sherly X LiMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, Cambridge, United Kingdom; Murdoch Children's Research Institute, The Royal Children's Hospital, Melbourne, VIC, Australia; Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, VIC, Australia.
Fumiaki ImamuraMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, Cambridge, United Kingdom.
Stephen J SharpMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, Cambridge, United Kingdom.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany; Institute of Nutritional Science, University of Potsdam, Potsdam, Germany.
Ju-Sheng ZhengMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, Cambridge, United Kingdom; School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Pilar AmianoMinistry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain; Epidemiology of Chronic and Communicable Diseases GroupBiodonostia Health Research Institute, San Sebastián, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública), Madrid, Spain.
Eva ArdanazConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública), Madrid, Spain; Public Health Institute of Navarra, IdiSNA, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Calle de Irunlarrea, Pamplona, Navarra, Spain.
Manuela M BergmannHuman Study Center, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Maria-Dolores ChirlaqueConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública), Madrid, Spain; Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain.
Guy FagherazziDeep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg; Center of Epidemiology and Population Health UMR 1018, Inserm, Paris South - Paris Saclay University, Gustave Roussy Institute, Villejuif, France.
Paul W FranksDepartment of Clinical Sciences, Clinical Research Center, Skåne University Hospital, Lund University, Malmö, Sweden; Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Sara GrioniEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori Milan, Milan, Italy.
Daniel B IbsenDepartment of Public Health, Aarhus University, Aarhus C, Denmark; Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Solna, Sweden.
Paula JakszynUnit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain; Facultat Ciències Salut Blanquerna, Universitat Ramon Llull, Barcelona, Spain.
Ingegerd JohanssonDepartment of Odontology, School of Dentistry, Cariology, Umeå University, Umeå, Sweden.
Verena A KatzkeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Nasser LaoualiCenter of Epidemiology and Population Health UMR 1018, Inserm, Paris South - Paris Saclay University, Gustave Roussy Institute, Villejuif, France.
Francesca R ManciniCESP, Faculty of Medicine - University Paris-South, Faculty of Medicine INSERM U1018, University Paris-Saclay, Villejuif, France.
Kim OvervadDepartment of Public Health, Aarhus University, Aarhus C, Denmark; Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark.
Domenico PalliCancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Villa delle Rose, Florence, Italy.
Salvatore PanicoDipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy.
Daniel Redondo-SánchezConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública), Madrid, Spain; Escuela Andaluza de Salud Pública (EASP), Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.
Fulvio RicceriCentre for Biostatistics, Epidemiology, and Public Health (C-BEPH), Department of Clinical and Biological Sciences, University of Turin, Orbassano (TO), Italy.
Olov RolandssonDepartment of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden.
Bernard SrourDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Centre for Research in Epidemiology and Statistics, Université Sorbonne Paris Nord and Université Paris Cité, Bobigny, France.
Anne TjønnelandDanish Cancer Society Research Center, Copenhagen, Denmark.
Tammy Yn TongCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Yvonne T van der SchouwJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Elio RiboliSchool of Public Health, Imperial College London, Norfolk Place, London, United Kingdom.
Claudia LangenbergMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, Cambridge, United Kingdom; Precision Healthcare University Research Institute, Queen Mary University of London, London, United Kingdom; Computational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
Nita G ForouhiMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, Cambridge, United Kingdom. Electronic address: nita.forouhi@mrc-epid.cam.ac.uk.
Nick J WarehamMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, Cambridge, United Kingdom. Electronic address: nick.wareham@mrc-epid.cam.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited evidence exists for effect modification of genetic characteristics on the associations of food consumption and incident type 2 diabetes (T2D).

objectivesWe aimed to investigate whether the food-T2D association would vary by genetic susceptibility to metabolic traits.

methodsWe analyzed data from 9542 incident T2D cases and a subcohort of 12,477 participants nested within the 340,234-participant cohort recruited in 1991-1998 and followed up for 10.9 y on average in 8 European countries. Polygenic risk scores (PRSs) for higher body mass index, insulin resistance, and T2D were constructed. Fifteen dietary variables potentially associated with T2D, obtained with cohort-specific self-reported dietary assessment, were examined: fruits, green leafy vegetables, root vegetables, wholegrains, rice, legumes, nuts and seeds, fermented dairy, red meat, processed meat, fish, eggs and egg products, sugar-sweetened beverages, coffee, and tea. A cross-product term between each PRS and each food/beverage was evaluated by genotyping chip and country with Prentice-weighted Cox regression for incident T2D, and stratum-specific estimates were meta analyzed, followed by Benjamini-Yekutieli multiple-testing correction.

resultsAccounting for multiple tests of 3 PRSs × 15 dietary items, no evidence of statistical interaction was evident on either a multiplicative or additive scale, with exp(β for a multiplicative interaction) (95% confidence interval) ranging from 0.84 (0.64, 1.10) (root vegetables and PRS for T2D) to 1.45 (0.78-2.76) (fish and PRS for T2D).

conclusionsGenetic susceptibility to high-risk metabolic traits did not modify the diet-T2D associations in European populations. Acknowledging the limitations of current PRS-based methods to detect gene-diet interactions, research should continue into the potential for precision nutrition and tailored food-based dietary guidance for T2D prevention.

Indexed as

Diabetes Mellitus, Type 2DietGenetic Predisposition to DiseaseInsulin ResistanceObesityAdultBeveragesBody Mass IndexCohort StudiesEuropeFemaleGenetic Risk ScoreHumansIncidenceMaleMiddle Ageddiabetesdieteffect modificationepidemiologygene–diet interactioninsulin resistancenutritional epidemiologyobesitypolygenic risk scoreprecision nutrition

Identifiers

PMID41548598
PMCPMC12975352

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