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, Husamettin; Aydin Son, YEŞİM; Acikel, Cengizhan

doi:10.3906/sag-1310-77

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, cilt.44, ss.946-982, 2014 (SCI-Expanded, Scopus, TRDizin)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 44
Basım Tarihi: 2014
Doi Numarası: 10.3906/sag-1310-77
Dergi Adı: TURKISH JOURNAL OF MEDICAL SCIENCES
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
Sayfa Sayıları: ss.946-982
Anahtar Kelimeler: 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
Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.