Use of Net Reclassification Improvement (NRI) Method Confirms The Utility of Combined Genetic Risk Score to Predict Type 2 Diabetes

Claudia H. T. Tam; Janice S. K. Ho; Ying Wang; Vincent K. L. Lam; Heung Man Lee; Guozhi Jiang; Eric S. H. Lau; Alice P. S. Kong; Xiaodan Fan; Jean L. F. Woo; Stephen K. W. Tsui; Maggie C. Y. Ng; Wing Yee So; Juliana C. N. Chan; Ronald C. W. Ma

doi:10.1371/journal.pone.0083093

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Open Access

Peer-reviewed

Research Article

Use of Net Reclassification Improvement (NRI) Method Confirms The Utility of Combined Genetic Risk Score to Predict Type 2 Diabetes

Claudia H. T. Tam,

Affiliation Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
⨯
Janice S. K. Ho,

Affiliation Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
⨯
Ying Wang,

Affiliation Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
⨯
Vincent K. L. Lam,

Affiliation Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
⨯
Heung Man Lee,

Affiliation Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
⨯
Guozhi Jiang,

Affiliation Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
⨯
Eric S. H. Lau,

Affiliation Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
⨯
Alice P. S. Kong,

Affiliations Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
⨯
Xiaodan Fan,

Affiliation Department of Statistics, The Chinese University of Hong Kong, Hong Kong SAR, China
⨯
Jean L. F. Woo,

Affiliation Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
⨯
Stephen K. W. Tsui,

Affiliation School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
⨯
Maggie C. Y. Ng,

Affiliation Center for Genomics and Personalized Medicine Research, Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
⨯
Wing Yee So,

Affiliations Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
⨯
Juliana C. N. Chan,

Affiliations Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
⨯
Ronald C. W. Ma

* E-mail: rcwma@cuhk.edu

Affiliations Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
⨯

Use of Net Reclassification Improvement (NRI) Method Confirms The Utility of Combined Genetic Risk Score to Predict Type 2 Diabetes

Claudia H. T. Tam,
Janice S. K. Ho,
Ying Wang,
Vincent K. L. Lam,
Heung Man Lee,
Guozhi Jiang,
Eric S. H. Lau,
Alice P. S. Kong,
Xiaodan Fan,
Jean L. F. Woo

Published: December 20, 2013
https://doi.org/10.1371/journal.pone.0083093

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