Discovering missing heritability and early risk prediction for type 2 diabetes: a new perspective for genome-wide association study analysis with the Nurses' Health Study and the Health Professionals' Follow-Up Study

Gul H., Aydin Son Y., Acikel C.

TURKISH JOURNAL OF MEDICAL SCIENCES, vol.44, pp.946-982, 2014 (Peer-Reviewed Journal) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 44
  • Publication Date: 2014
  • Doi Number: 10.3906/sag-1310-77
  • Journal Indexes: Science Citation Index Expanded, Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.946-982
  • Keywords: Type 2 diabetes, genome-wide association study, single nucleotide polymorphism, Affymetrix, binary logistic regression, ROC curve, SUSCEPTIBILITY LOCI, INSULIN-RESISTANCE, GLUCOSE-TOLERANCE, LIFE-STYLE, POLYMORPHISMS, IMPACT, GENETICS, MELLITUS, DISEASES, VARIANTS


Background/aim: Despite the rise in type 2 diabetes prevalence worldwide, we do not have a method for early risk prediction. The predictive ability of genetic models has been found to be little or negligible so far. In this study, we aimed to develop a better early risk prediction method for type 2 diabetes.