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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
Metadata
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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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BibTeX
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.