Evidence map›Paper›PMID 32705315›Full record

ReviewDiabetologia2020

Using genetics to decipher the link between type 2 diabetes and cancer: shared aetiology or downstream consequence?

Emma E Vincent, Hanieh Yaghootkar

Abstract readReview
In one paragraph

Review in Diabetologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. A review on diabetes and oral cancer: Molecular links and implications.Molecular biology research communications · 2025
    Review
  9. Article
  10. Article
  11. Review
  12. Diabetes and Cancer: A Twisted Bond.Oncology reviews · 2024
    Review
  13. Article
  14. Article
  15. Exploring genetic loci of type 2 diabetes and cancer: a review.Endocrine oncology (Bristol, England) · 2023
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  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

2 authors.

Emma E VincentMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, Bristol, UK. emma.vincent@bristol.ac.uk.ORCID 0000-0002-8917-7384
Hanieh YaghootkarGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.ORCID 0000-0001-9672-9477

Funding

Cancer Research UK 19169Cancer Research UK C18281/A19169Diabetes UK 17/0005587
6 · The paper itself

Abstract

Recent developments in the field of genetics have accelerated our understanding of the aetiology of complex diseases. Type 2 diabetes mellitus and cancer are no exception, with large-scale genome-wide association studies (GWAS) facilitating exploration of the underlying pathology. Here, we discuss how genetics studies can be used to investigate the relationship between these complex diseases. Observational epidemiological studies consistently report that people with type 2 diabetes have a higher risk of several types of cancer. Indeed, type 2 diabetes and cancer share many common risk factors, such as obesity, ageing, poor diet and low levels of physical activity. However, questions remain regarding the biological mechanisms that link these two diseases. Large-scale GWAS of type 2 diabetes and cancer allow us to consider the evidence for shared genetic architecture. Several shared susceptibility genes have been identified, yet tissue specificity and direction of effect must be taken into account when considering common genetic aetiology. We also consider how GWAS, and associated techniques such as Mendelian randomisation, allow us to dissect the link between the two diseases and address questions such as 'Does type 2 diabetes cause cancer or is the increased risk observed driven by higher adiposity or another associated metabolic feature?' Graphical abstract.

Indexed as

CausalityConfounding Factors, EpidemiologicDiabetes Mellitus, Type 2Genetic PleiotropyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisNeoplasmsRisk FactorsAdiposityCancerDiabetesGeneticsGWASMendelian randomisationReviewType 2 diabetes

Identifiers

PMID32705315
PMCPMC7406536

What OpenQuestion holds

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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 OpenQuestion graph.