The construction of risk prediction models using GWAS data and its application to a type 2 diabetes prospective cohort

Recent genome-wide association studies (GWAS) have identified several novel single nucleotide polymorphisms (SNPs) associated with type 2 diabetes (T2D). Various models using clinical and/or genetic risk factors have been developed for T2D risk prediction. However, analysis considering algorithms fo...

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Veröffentlicht in:	PloS one 2014-03, Vol.9 (3), p.e92549-e92549
Hauptverfasser:	Shigemizu, Daichi, Abe, Testuo, Morizono, Takashi, Johnson, Todd A, Boroevich, Keith A, Hirakawa, Yoichiro, Ninomiya, Toshiharu, Kiyohara, Yutaka, Kubo, Michiaki, Nakamura, Yusuke, Maeda, Shiro, Tsunoda, Tatsuhiko
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayesian analysis Biology and Life Sciences Case-Control Studies Chromosomes Computer and Information Sciences Construction Construction methods Data processing Diabetes mellitus Diabetes Mellitus, Type 2 - epidemiology Diabetes Mellitus, Type 2 - genetics Diabetes Mellitus, Type 2 - mortality Genetic factors Genetic Predisposition to Disease Genome-wide association studies Genome-Wide Association Study Genomes Genomics Genotype Health risk assessment Health risks Humans Identification methods Japan - epidemiology Medical research Medicine and Health Sciences Models, Statistical Polymorphism, Single Nucleotide Prediction models Prospective Studies Regression analysis Regression models Reproducibility of Results Research and Analysis Methods Risk Risk analysis Risk factors ROC Curve Science Single nucleotide polymorphisms Single-nucleotide polymorphism Studies Survival Type 2 diabetes
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