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Genetic Prediction of Future Type 2 Diabetes

Author

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

Abstract

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 [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 ≥ 5.6 mmol/l and body mass index ≥ 30 kg/m2, 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

Suggested Citation

  • Valeriya Lyssenko & Peter Almgren & Dragi Anevski & Marju Orho-Melander & Marketa Sjögren & Carola Saloranta & Tiinamaija Tuomi & Leif Groop & the Botnia Study Group, 2005. "Genetic Prediction of Future Type 2 Diabetes," PLOS Medicine, Public Library of Science, vol. 2(12), pages 1-1, November.
    • Handle: RePEc:plo:pmed00:0020345
    DOI: 10.1371/journal.pmed.0020345
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