SynthesisThe American journal of clinical nutrition2017
Interaction between genes and macronutrient intake on the risk of developing type 2 diabetes: systematic review and findings from European Prospective Investigation into Cancer (EPIC)-InterAct.
Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph
Synthesis in The American journal of clinical nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
3.4field-weighted citation impact, top 7% of its field
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.
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.
Who cites it
34 citing papers in PubMed, 4 syntheses or guidelines pooled it, 61 citations in OpenAlex.
- Effect of TCF7L2 on the relationship between lifestyle factors and glycemic parameters: a systematic review.Nutrition journal · 2022Pooled it
- Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers.Nature communications · 2022Pooled it
- 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 · 2019Pooled it
- Quality of dietary fat and genetic risk of type 2 diabetes: individual participant data meta-analysis.BMJ (Clinical research ed.) · 2019Pooled it
- Molecular basis of precision nutrition: Food components, microbiome-derived metabolites, and multi-omics modeling.Food chemistry. Molecular sciences · 2026Review
- Mapping the Analytical Landscape of Gene-Diet Interactions in Epidemiology: From Classical Models to Causal and Multi-Omics Frameworks.Nutrients · 2026Review
- Association and haplotype analysis of TCF7L2 gene variants with development of obesity in type 2 diabetic patients among Northern Iranians.Journal of diabetes and metabolic disorders · 2025Article
- The Complex Gene-Carbohydrate Interaction in Type 2 Diabetes: Between Current Knowledge and Future Perspectives.Nutrients · 2025Review
- Serum Medium-Chain Fatty Acids and the Risk of Incident Diabetes: Findings From the 4C Study.The Journal of clinical endocrinology and metabolism · 2025Article
- Interaction between theFrontiers in nutrition · 2025Article
- Review
- Genetic risk scores: are they important for diabetes management? results from multiple cross-sectional studies.Diabetology & metabolic syndrome · 2023Article
- Integration of methylation quantitative trait loci (mQTL) on dietary intake on DNA methylation levels: an example of n-3 PUFA and ABCA1 gene.European journal of clinical nutrition · 2023Article
- Geospatial analysis of type 2 diabetes mellitus and hypertension in South Sulawesi, Indonesia.Scientific reports · 2023Article
- Do gene-environment interactions have implications for the precision prevention of type 2 diabetes?Diabetologia · 2022Review
- Article
- Article
- Genetic susceptibility, family history of diabetes and healthy lifestyle factors in relation to diabetes: A gene-environment interaction analysis in Chinese adults.Journal of diabetes investigation · 2021Article
- A guide for authors and readers of the American Society for Nutrition Journals on the proper use of P values and strategies that promote transparency and improve research reproducibility.The American journal of clinical nutrition · 2021Article
- Genome-wide gene-diet interaction analysis in the UK Biobank identifies novel effects on hemoglobin A1c.Human molecular genetics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
39 authors at 20 institutions in 8 countries.
Sherly X LiMedical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Fumiaki ImamuraMedical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Zheng YeMedical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Jusheng ZhengMedical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Eva ArdanazNavarre Public Health Institute (ISPN), Pamplona, Spain.
Larraitz ArriolaCenter for Biomedical Research in Network Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Heiner BoeingDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Courtney DowFrench National Institute of Health and Medical Research (INSERM) U1018, Institut Gustave Roussy, Center for Research in Epidemiology and Population Health (CESP), Villejuif, France.
Guy FagherazziFrench National Institute of Health and Medical Research (INSERM) U1018, Institut Gustave Roussy, Center for Research in Epidemiology and Population Health (CESP), Villejuif, France.
Paul W FranksLund University, Malmö, Sweden.
Antonio AgudoCatalan Institute of Oncology (ICO), Barcelona, Spain.
Sara GrioniEpidemiology and Prevention Unit, Milan, Italy.
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Verena A KatzkeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Timothy J KeyUniversity of Oxford, Oxford, United Kingdom.
Kay Tee KhawDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
Francesca R ManciniFrench National Institute of Health and Medical Research (INSERM) U1018, Institut Gustave Roussy, Center for Research in Epidemiology and Population Health (CESP), Villejuif, France.
Carmen NavarroCenter for Biomedical Research in Network Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Peter M NilssonLund University, Malmö, Sweden.
N Charlotte Onland-MoretUniversity Medical Center Utrecht, Utrecht, Netherlands.
Kim OvervadSection for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark.
Domenico PalliCancer Research and Prevention Institute (ISPO), Florence, Italy.
Salvatore PanicoDepartment of Clinical Medicine and Surgery, Federico II University, Naples, Italy.
J Ramón QuirósPublic Health Directorate, Asturias, Spain.
Olov RolandssonUmeå University, Umeå, Sweden.
Carlotta SacerdoteUnit of Cancer Epidemiology, City of Health and Science Hospital, University of Turin, Torino, Italy.
María-José SánchezCenter for Biomedical Research in Network Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Nadia SlimaniInternational Agency for Research on Cancer, Lyon, France.
Ivonne SluijsUniversity Medical Center Utrecht, Utrecht, Netherlands.
Annemieke Mw SpijkermanNational Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands.
Anne TjonnelandDanish Cancer Society Research Center, Copenhagen, Denmark.
Rosario TuminoProvincial Healthcare Company (ASP) Ragusa, Vittoria, Italy; and.
Stephen J SharpMedical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Elio RiboliSchool of Public Health, Imperial College London, London, United Kingdom.
Claudia LangenbergMedical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Robert A ScottMedical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Nita G ForouhiMedical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom; nita.forouhi@mrc-epid.cam.ac.uk.
Nicholas J WarehamMedical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
University of Cambridge · GBInserm · FRGerman Cancer Research Center · DELund University · SEUniversity Medical Center Utrecht · NLAarhus University · DKBasque Government · ESCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESDanish Cancer Society · DKFederico II University Hospital · ITGerman Center for Diabetes Research · DEGerman Institute of Human Nutrition · DEGobierno del Principado de Asturias · ESImperial College London · GBInstitut Català d'Ornitologia · ESInstituto de Investigación Biosanitaria de Granada · ESInstituto Murciano de Investigación Biosanitaria · ESItalian institute for Genomic Medicine · ITNational Centre for Disease Prevention and Control · ITNational Institute for Public Health and the Environment · NL
Funding
Cancer Research UK 14136Cancer Research UK 16491Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_EX_MR/L100002/1Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/5Medical Research Council MR/N003284/1World Health Organization 001
Abstract
PubMed holds no abstract for this paper.
Indexed as
DietFeeding BehaviorGene-Environment InteractionCase-Control StudiesCaveolin 2Diabetes MellitusDietary CarbohydratesDietary FatsDietary FiberDipeptidasesEnergy IntakeEuropeFemaleHumansMaleMiddle AgedCaveolin 2Dietary CarbohydratesDietary FatsDietary FiberDipeptidasesgastric inhibitory polypeptide receptorproline dipeptidaseReceptors, Gastrointestinal HormoneTCF7L2 protein, humanTranscription Factor 7-Like 2 Proteindiabetesdieteffect modificationgeneinteractionmacronutrientreplicationsystematic review
Identifiers
What Socratic holds
Textmetadata
LicenceCC BY
Read underepoch 390
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 Socratic graph.