Evidence map›Paper›PMID 29549418›Full record

ArticleDiabetologia2018

Interplay between genetic predisposition, macronutrient intake and type 2 diabetes incidence: analysis within EPIC-InterAct across eight European countries.

Sherly X Li, Fumiaki Imamura, Matthias B Schulze, Jusheng Zheng, Zheng Ye, Antonio Agudo, Eva Ardanaz, Dagfinn Aune, Heiner Boeing, Miren Dorronsoro and 32 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 pooled it
2.5field-weighted citation impact, top 10% of its field
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

15 citing papers in PubMed, 4 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  4. Gene-lifestyle interaction on risk of type 2 diabetes: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
    Pooled it
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  14. Animal and Plant Protein Sources and Cardiometabolic Health.Advances in nutrition (Bethesda, Md.) · 2019
    Review
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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

42 authors at 20 institutions in 9 countries.

Sherly X LiMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Fumiaki ImamuraMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Jusheng ZhengMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Zheng YeMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Antonio AgudoCatalan Institute of Oncology (ICO), Barcelona, Spain.
Eva ArdanazNavarre Public Health Institute (ISPN), Pamplona, Spain.
Dagfinn AuneDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Heiner BoeingDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Miren DorronsoroCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Courtney DowCESP, Faculty of Medicine, University Paris-South, Faculty of Medicine, University Versailles-St Quentin, Inserm U1018, University Paris-Saclay, Villejuif, France.
Guy FagherazziCESP, Faculty of Medicine, University Paris-South, Faculty of Medicine, University Versailles-St Quentin, Inserm U1018, University Paris-Saclay, Villejuif, France.
Sara GrioniEpidemiology and Prevention Unit, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy.
Marc J GunterInternational Agency for Research on Cancer, Lyon, France.
José María HuertaCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Daniel B IbsenDepartment of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark.
Marianne Uhre JakobsenDepartment of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark.
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Timothy J KeyCancer Epidemiology Unit, University of Oxford, Oxford, UK.
Kay-Tee KhawDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Cecilie KyrøDanish Cancer Society, Copenhagen, Denmark.
Francesca Romana ManciniCESP, Faculty of Medicine, University Paris-South, Faculty of Medicine, University Versailles-St Quentin, Inserm U1018, University Paris-Saclay, Villejuif, France.
Elena Molina-PortilloCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Neil MurphyInternational Agency for Research on Cancer, Lyon, France.
Peter M NilssonDepartment of History of Medicine, Lund University, Malmö, Sweden.
N Charlotte Onland-MoretJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands.
Domenico PalliCancer Risk Factors and Life-Style Epidemiology Unit, Cancer Research and Prevention Institute - ISPO, Florence, Italy.
Salvatore PanicoDipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy.
Alaitz PovedaDepartment of Clinical Sciences, Clinical Research Center, Skåne University Hospital, Lund University, Malmö, Sweden.
J Ramón QuirósPublic Health Directorate, Asturias, Spain.
Fulvio RicceriDepartment of Clinical and Biological Sciences, University of Turin, Turin, Italy.
Ivonne SluijsJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands.
Annemieke M W SpijkermanNational Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
Anne TjonnelandDanish Cancer Society Research Center, Copenhagen, Denmark.
Rosario TuminoAzienda Sanitaria Provinciale di Ragusa (ASP), Ragusa, Italy.
Anna WinkvistThe Sahlgrenska Academy, Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Göteborg, Sweden.
Claudia LangenbergMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Stephen J SharpMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Elio RiboliSchool of Public Health, Imperial College London, London, UK.
Robert A ScottMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Nita G ForouhiMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK. nita.forouhi@mrc-epid.cam.ac.uk.
Nicholas J WarehamMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK. nick.wareham@mrc-epid.cam.ac.uk.
University of Cambridge · GBMRC Epidemiology Unit · GBCentre international de recherche sur le cancer · FRCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESDanish Cancer Society · DKGerman Institute of Human Nutrition · DEUniversity Medical Center Utrecht · NLAarhus University · DKAndalusian School of Public Health · ESCentre de recherche en Epidémiologie et Santé des Populations · FRFederico II University Hospital · ITFondazione IRCCS Istituto Nazionale dei Tumori · ITGobierno del Principado de Asturias · ESHeidelberg University · DEImperial College London · GBInserm · FRInstitut Català d'Oncologia · ESInstituto Murciano de Investigación Biosanitaria · ESInternational Flame Research Foundation · ITLund University · SE

Funding

Cancer Research UK 16491Cancer Research UK C8221/A19170Medical Research Council MC_PC_13030Medical Research Council MC_UP_A090_1006Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/1 and MC_UU_12015/5Medical Research Council MC_UU_12015/5Medical Research Council MR/M012190/1Medical Research Council MR/N003284/1Medical Research Council MR/P011705/1Medical Research Council MR/P01836X/1World Health Organization 001
6 · The paper itself

Abstract

aims/hypothesisGene-macronutrient interactions may contribute to the development of type 2 diabetes but research evidence to date is inconclusive. We aimed to increase our understanding of the aetiology of type 2 diabetes by investigating potential interactions between genes and macronutrient intake and their association with the incidence of type 2 diabetes.

methodsWe investigated the influence of interactions between genetic risk scores (GRSs) for type 2 diabetes, insulin resistance and BMI and macronutrient intake on the development of type 2 diabetes in the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct, a prospective case-cohort study across eight European countries (N = 21,900 with 9742 incident type 2 diabetes cases). Macronutrient intake was estimated from diets reported in questionnaires, including proportion of energy derived from total carbohydrate, protein, fat, plant and animal protein, saturated, monounsaturated and polyunsaturated fat and dietary fibre. Using multivariable-adjusted Cox regression, we estimated country-specific interaction results on the multiplicative scale, using random-effects meta-analysis. Secondary analysis used isocaloric macronutrient substitution.

resultsNo interactions were identified between any of the three GRSs and any macronutrient intake, with low-to-moderate heterogeneity between countries (I CONCLUSIONS/

interpretationGenetic susceptibility to type 2 diabetes, insulin resistance and BMI did not modify the association between macronutrient intake and incident type 2 diabetes. This suggests that macronutrient intake recommendations to prevent type 2 diabetes do not need to account for differences in genetic predisposition to these three metabolic conditions.

Indexed as

DietGenetic Predisposition to DiseaseAdultAllelesBody Mass IndexDiabetes Mellitus, Type 2Dietary FiberEnergy IntakeEuropeFemaleFollow-Up StudiesHumansInsulin ResistanceInternational CooperationMaleMiddle AgedDietary FiberNutrientsBMIBody mass indexDiabetesDietDietary fibreGenetic risk scoreGRSInsulin resistanceInteractionMacronutrient

Identifiers

PMID29549418
PMCPMC6445347
OpenAlexW2791531453

What OpenQuestion holds

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LicenceCC BY
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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.