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Photo: KG Pressfoto

Marju Orho-Melander

Professor

Photo: KG Pressfoto

Genetic prediction of future type 2 diabetes

Author

  • Valeriya Lyssenko
  • Peter Almgren
  • Dragi Anevski
  • Marju Orho-Melander
  • Marketa Sjögren
  • C Saloranta
  • T Tuomi
  • Leif Groop

Summary, in English

Background Type 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 Findings By 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 [Cl] 1.1-2.7) for the PPARG PP genotype, 1.5 (95% Cl 1.0-2.2) for the CAPN10 SNP44 TT genotype, and 2.6 (95% Cl 1.5-4.5) for the combination of PPARG and CAPN10 risk genotypes. In individuals with fasting plasma glucose >= 5.6 mmol/l and body mass index >= 30 kg/m(2), the hazard ratio increased to 21.2 (95% Cl 8.751.4) for the combination of the PPARG PP and CAPN10 SNP43/44 GG/17 genotypes as compared to those with the low-risk genotypes with normal fasting plasma glucose and body mass index < 30 kg/m(2). Conclusion We 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.

Department/s

  • Genomics, Diabetes and Endocrinology
  • Mathematical Statistics

Publishing year

2005

Language

English

Pages

1299-1308

Publication/Series

PLoS Medicine

Volume

2

Issue

12

Document type

Journal article

Publisher

Public Library of Science

Topic

  • Endocrinology and Diabetes

Status

Published

Research group

  • Genomics, Diabetes and Endocrinology

ISBN/ISSN/Other

  • ISSN: 1549-1676