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

Date

2014-12-01

Author

Gul, Husamettin
Aydın Son, Yeşim
Acikel, Cengizhan

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Type 2 diabetes , Genome-wide association study, Single nucleotide polymorphism, Affymetrix, Binary logistic regression, ROC curve

URI

https://hdl.handle.net/11511/31013

Journal

TURKISH JOURNAL OF MEDICAL SCIENCES

DOI

https://doi.org/10.3906/sag-1310-77

Collections

Graduate School of Informatics, Article

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Citation Formats

H. Gul, Y. Aydın Son, and C. Acikel, “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,” TURKISH JOURNAL OF MEDICAL SCIENCES, pp. 946–982, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31013.