Evidence map›Paper›PMID 18839133›Full record

ArticleDiabetologia2008

Common variants in the TCF7L2 gene help to differentiate autoimmune from non-autoimmune diabetes in young (15-34 years) but not in middle-aged (40-59 years) diabetic patients.

E Bakhtadze, C Cervin, E Lindholm, H Borg, P Nilsson, H J Arnqvist, J Bolinder, J W Eriksson, S Gudbjörnsdottir, L Nyström and 4 more

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Article in Diabetologia, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. TheDiabetes care · 2019
    Review
  6. Article
  7. Diabetes care · 2018
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

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5 · Who and what money

Authors and funding

14 authors.

E BakhtadzeDepartment of Clinical Sciences-Diabetes and Endocrinology, Lund University Diabetes Center, Malmö, Sweden. ekaterine.bakhtadze@med.lu.se
C Cervin
E Lindholm
H Borg
P Nilsson
H J Arnqvist
J Bolinder
J W Eriksson
S Gudbjörnsdottir
L Nyström
C-D Agardh
M Landin-Olsson
G Sundkvist
L C Groop

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisType 1 diabetes in children is characterised by autoimmune destruction of pancreatic beta cells and the presence of certain risk genotypes. In adults the same situation is often referred to as latent autoimmune diabetes in adults (LADA). We tested whether genetic markers associated with type 1 or type 2 diabetes could help to discriminate between autoimmune and non-autoimmune diabetes in young (15-34 years) and middle-aged (40-59 years) diabetic patients.

methodsIn 1,642 young and 1,619 middle-aged patients we determined: (1) HLA-DQB1 genotypes; (2) PTPN22 and INS variable-number tandem repeat (VNTR) polymorphisms; (3) two single nucleotide polymorphisms (rs7903146 and rs10885406) in the TCF7L2 gene; (4) glutamic acid decarboxylase (GAD) and IA-2-protein tyrosine phosphatase-like protein (IA-2) antibodies; and (5) fasting plasma C-peptide.

resultsFrequency of risk genotypes HLA-DQB1 (60% vs 25%, p = 9.4 x 10(-34); 45% vs 18%, p = 1.4 x 10(-16)), PTPN22 CT/TT (34% vs 26%, p = 0.0023; 31% vs 23%, p = 0.034), INS VNTR class I/I (69% vs 53%, p = 1.3 x 10(-8); 69% vs 51%, p = 8.5 x 10(-5)) and INS VNTR class IIIA/IIIA (75% vs 63%, p = 4.3 x 10(-6); 73% vs 60%, p = 0.008) was increased in young and middle-aged GAD antibodies (GADA)-positive compared with GADA-negative patients. The type 2 diabetes-associated genotypes of TCF7L2 CT/TT of rs7903146 were significantly more common in young GADA-negative than in GADA-positive patients (53% vs 43%; p = 0.0004). No such difference was seen in middle-aged patients, in whom the frequency of the CT/TT genotypes of TCF7L2 was similarly increased in GADA-negative and GADA-positive groups (55% vs 56%). CONCLUSIONS/

interpretationCommon variants in the TCF7L2 gene help to differentiate young but not middle-aged GADA-positive and GADA-negative diabetic patients, suggesting that young GADA-negative patients have type 2 diabetes and that middle-aged GADA-positive patients are different from their young GADA-positive counterparts and share genetic features with type 2 diabetes.

Indexed as

AdolescentAdultAntibodiesAutoimmune DiseasesDiabetes MellitusFemaleGenotypeHumansMaleMiddle AgedTCF Transcription FactorsTranscription Factor 7-Like 2 ProteinAntibodiesTCF7L2 protein, humanTCF Transcription FactorsTranscription Factor 7-Like 2 Protein

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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.