Evidence map›Paper›PMID 19455305›Full record

ArticleDiabetologia2009

No association of multiple type 2 diabetes loci with type 1 diabetes.

S M Raj, J M M Howson, N M Walker, J D Cooper, D J Smyth, S F Field, H E Stevens, J A Todd

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Journal of clinical research in pediatric endocrinology · 2019
    Pooled it
  2. Pooled it
  3. Article
  4. Frontiers in genetics · 2023
    Article
  5. Autoantibodies to Zinc Transporter 8 andJournal of diabetes research · 2022
    Article
  6. Review
  7. Review
  8. Diabetes care · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Genetic insights into cardiometabolic risk factors.The Clinical biochemist. Reviews · 2014
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

S M RajCambridge Institute for Medical Research, University of Cambridge, UK.
J M M Howson
N M Walker
J D Cooper
D J Smyth
S F Field
H E Stevens
J A Todd
University of Cambridge · GBJuvenile Diabetes Research Foundation · GBWellcome Trust · GB

Funding

Type 1 Diabetes Genetics ConsortiumU01DK062418 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RICH, STEPHEN S. · 2002 to 2007
$59.8M
British Heart Foundation RG/08/014/24067Medical Research Council G0000934NIDDK NIH HHS U01 DK062418Wellcome Trust 061858Wellcome Trust 079895
6 · The paper itself

Abstract

aims/hypothesisWe used recently confirmed type 2 diabetes gene regions to investigate the genetic relationship between type 1 and type 2 diabetes, in an average of 7,606 type 1 diabetic individuals and 8,218 controls, providing >80% power to detect effects as small as an OR of 1.11 at a false-positive rate of 0.003.

methodsThe single nucleotide polymorphisms (SNPs) with the most convincing evidence of association in 12 type 2 diabetes-associated gene regions, PPARG, CDKAL1, HNF1B, WFS1, SLC30A8, CDKN2A-CDKN2B, IGF2BP2, KCNJ11, TCF7L2, FTO, HHEX-IDE and THADA, were analysed in type 1 diabetes cases and controls. PPARG and HHEX-IDE were additionally tested for association in 3,851 type 1 diabetes families. Tests for interaction with HLA class II genotypes, autoantibody status, sex, and age-at-diagnosis of type 1 diabetes were performed with all 12 gene regions.

resultsOnly PPARG and HHEX-IDE showed any evidence of association with type 1 diabetes cases and controls (p = 0.004 and p = 0.003, respectively; p > 0.05 for other SNPs). The potential association of PPARG was supported by family analyses (p = 0.003; p (combined) = 1.0 x 10(-4)). No SNPs showed evidence of interaction with any covariate (p > 0.05). CONCLUSIONS/

interpretationWe found no convincing genetic link between type 1 and type 2 diabetes. An association of PPARG (rs1801282/Pro12Ala) could be consistent with its known function in inflammation. Hence, our results reinforce evidence suggesting that type 1 diabetes is a disease of the immune system, rather than being due to inherited defects in beta cell function or regeneration or insulin resistance.

Indexed as

Case-Control StudiesDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansPolymorphism, Single NucleotidePPAR gammaPPAR gamma

Identifiers

PMID19455305
PMCPMC2738846
OpenAlexW2060630192

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.