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The Value of Genetic Information for Diabetes Risk Prediction – Differences According to Sex, Age, Family History and Obesity

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  • Kristin Mühlenbruch
  • Charlotte Jeppesen
  • Hans-Georg Joost
  • Heiner Boeing
  • Matthias B Schulze

Abstract

Background: Genome-wide association studies have identified numerous single nucleotide polymorphisms associated with type 2 diabetes through the past years. In previous studies, the usefulness of these genetic markers for prediction of diabetes was found to be limited. However, differences may exist between substrata of the population according to the presence of major diabetes risk factors. This study aimed to investigate the added predictive value of genetic information (42 single nucleotide polymorphisms) in subgroups of sex, age, family history of diabetes, and obesity. Methods: A case-cohort study (random subcohort N = 1,968; incident cases: N = 578) within the European Prospective Investigation into Cancer and Nutrition Potsdam study was used. Prediction models without and with genetic information were evaluated in terms of the area under the receiver operating characteristic curve and the integrated discrimination improvement. Stratified analyses included subgroups of sex, age (

Suggested Citation

  • Kristin Mühlenbruch & Charlotte Jeppesen & Hans-Georg Joost & Heiner Boeing & Matthias B Schulze, 2013. "The Value of Genetic Information for Diabetes Risk Prediction – Differences According to Sex, Age, Family History and Obesity," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-6, May.
    • Handle: RePEc:plo:pone00:0064307
    DOI: 10.1371/journal.pone.0064307
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