Evidence mapPaperPMID 27929407Full record

Trial reportNutrients2016

Polymorphism of the Transcription Factor 7-Like 2 Gene (TCF7L2) Interacts with Obesity on Type-2 Diabetes in the PREDIMED Study Emphasizing the Heterogeneity of Genetic Variants in Type-2 Diabetes Risk Prediction: Time for Obesity-Specific Genetic Risk Scores.

Dolores Corella, Oscar Coltell, Jose V Sorlí, Ramón Estruch, Laura Quiles, Miguel Ángel Martínez-González, Jordi Salas-Salvadó, Olga Castañer, Fernando Arós, Manuel Ortega-Calvo and 9 more

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Nutrients, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Complex Association Among Diet Styles, Sleep Patterns, and Obesity in Patients with Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. PeerJ · 2021
    Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

19 authors at 5 institutions in 2 countries.

Dolores CorellaDepartment of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain. dolores.corella@uv.es.
Oscar ColtellCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. oscar.coltell@uji.es.
Jose V SorlíDepartment of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain. jose.sorli@uv.es.
Ramón EstruchCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. RESTRUCH@clinic.cat.
Laura QuilesDepartment of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain. laura.quiles@uv.es.
Miguel Ángel Martínez-GonzálezCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. mamartinez@unav.es.
Jordi Salas-SalvadóCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. jordi.salas@urv.cat.
Olga CastañerCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. ocastaner@imim.es.
Fernando ArósCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. aborau@secardiologia.es.
Manuel Ortega-CalvoCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. 106mayorque104@gmail.com.
Lluís Serra-MajemCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. lluis.serra@ulpgc.es.
Enrique Gómez-GraciaCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. egomezgracia@uma.es.
Olga PortolésDepartment of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain. olga.portoles@uv.es.
Miquel FiolCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. miguel.fiol@ssib.es.
Javier Díez EspinoCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. javierdiezesp@ono.com.
Josep BasoraCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. jbasora.tarte.ics@gencat.cat.
Montserrat FitóCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. MFito@imim.es.
Emilio RosCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. EROS@clinic.ub.es.
José M OrdovásCIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. jose.ordovas@tufts.edu.
Instituto de Salud Carlos III · ESUniversitat de València · ESMadrid Institute for Advanced Studies · ESUniversidad de Las Palmas de Gran Canaria · ESUniversitat Jaume I · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nutrigenetic studies analyzing gene-diet interactions of the TCF7L2-rs7903146 C > T polymorphism on type-2 diabetes (T2D) have shown controversial results. A reason contributing to this may be the additional modulation by obesity. Moreover, TCF7L2-rs7903146 is one of the most influential variants in T2D-genetic risk scores (GRS). Therefore, to increase the predictive value (PV) of GRS it is necessary to first see whether the included polymorphisms have heterogeneous effects. We comprehensively investigated gene-obesity interactions between the TCF7L2-rs7903146 C > T polymorphism on T2D (prevalence and incidence) and analyzed other T2D-polymorphisms in a sub-sample. We studied 7018 PREDIMED participants at baseline and longitudinally (8.7 years maximum follow-up). Obesity significantly interacted with the TCF7L2-rs7903146 on T2D prevalence, associations being greater in non-obese subjects. Accordingly, we prospectively observed in non-T2D subjects (

Indexed as

Genetic HeterogeneityPolymorphism, GeneticAdultAgedAged, 80 and overDiabetes Mellitus, Type 2FemaleGenetic MarkersGenetic Predisposition to DiseaseGenetic VariationHumansIncidenceLongitudinal StudiesMaleMiddle AgedNutrigenomicsGenetic MarkersTCF7L2 protein, humanTranscription Factor 7-Like 2 ProteinobesityPREDIMED studyT2D-genetic risk scoresTCF7L2TCF7L2-predictive valuetype-2 diabetes

Identifiers

PMID27929407
PMCPMC5188448
OpenAlexW2560642009

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.