Evidence map›Paper›PMID 17570749›Full record

Trial reportPLoS medicine2005

Genetic prediction of future type 2 diabetes.

Valeriya Lyssenko, Peter Almgren, Dragi Anevski, Marju Orho-Melander, Marketa Sjögren, Carola Saloranta, Tiinamaija Tuomi, Leif Groop, Botnia Study Group

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PLoS medicine, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 4 pooled it
6.3field-weighted citation impact, top 3% 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

65 citing papers in PubMed, 4 syntheses or guidelines pooled it, 142 citations in OpenAlex.

  1. Systematic Review of Polygenic Risk Scores for Type 1 and Type 2 Diabetes.International journal of molecular sciences · 2020
    Pooled it
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  8. Genes · 2022
    Article
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  11. Review
  12. The Emerging Role of Zfp217 in Adipogenesis.International journal of molecular sciences · 2017
    Article
  13. Pharmacogenetics of posttransplant diabetes mellitus.The pharmacogenomics journal · 2017
    Review
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  16. Article
  17. Review
  18. Article
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  20. Article

5 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 3 countries.

Valeriya LyssenkoDepartment of Clinical Sciences, Diabetes and Endocrinology, Lund University, University Hospital Malmö, Malmö, Sweden. Valeri.Lyssenko@med.lu.se
Peter Almgren
Dragi Anevski
Marju Orho-Melander
Marketa Sjögren
Carola Saloranta
Tiinamaija Tuomi
Leif Groop
Botnia Study Group
Malmö University · SEUniversity of Helsinki · FILund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes (T2D) is a multifactorial disease in which environmental triggers interact with genetic variants in the predisposition to the disease. A number of common variants have been associated with T2D but our knowledge of their ability to predict T2D prospectively is limited. METHODS AND

findingsBy using a Cox proportional hazard model, common variants in the PPARG (P12A), CAPN10 (SNP43 and 44), KCNJ11 (E23K), UCP2 (-866G>A), and IRS1 (G972R) genes were studied for their ability to predict T2D in 2,293 individuals participating in the Botnia study in Finland. After a median follow-up of 6 y, 132 (6%) persons developed T2D. The hazard ratio for risk of developing T2D was 1.7 (95% confidence interval [CI] 1.1-2.7) for the PPARG PP genotype, 1.5 (95% CI 1.0-2.2) for the CAPN10 SNP44 TT genotype, and 2.6 (95% CI 1.5-4.5) for the combination of PPARG and CAPN10 risk genotypes. In individuals with fasting plasma glucose > or = 5.6 mmol/l and body mass index > or = 30 kg/m(2), the hazard ratio increased to 21.2 (95% CI 8.7-51.4) for the combination of the PPARG PP and CAPN10 SNP43/44 GG/TT genotypes as compared to those with the low-risk genotypes with normal fasting plasma glucose and body mass index < 30 kg/m(2).

conclusionWe demonstrate in a large prospective study that variants in the PPARG and CAPN10 genes predict future T2D. Genetic testing might become a future approach to identify individuals at risk of developing T2D.

Indexed as

Genetic Predisposition to DiseaseAdolescentAdultAgedBlood GlucoseBody Mass IndexDiabetes Mellitus, Type 2FemaleFinlandGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotidePredictive Value of TestsProspective StudiesBlood Glucose

Identifiers

PMID17570749
PMCPMC1274281
OpenAlexW2104888242

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.