Abstract

We evaluated whether genetic information could offer improvement on risk prediction of diabetic nephropathy (DN) while adding susceptibility variants into a risk prediction model with conventional risk factors in Han Chinese type 2 diabetes patients. A total of 995 (including 246 DN cases) and 519 (including 179 DN cases) type 2 diabetes patients were included in derivation and validation sets, respectively. A genetic risk score (GRS) was constructed with DN susceptibility variants based on findings of our previous genome-wide association study. In derivation set, areas under the receiver operating characteristics (AUROC) curve (95% CI) for model with clinical risk factors only, model with GRS only, and model with clinical risk factors and GRS were 0.75 (0.72–0.78), 0.64 (0.60–0.68), and 0.78 (0.75–0.81), respectively. In external validation sample, AUROC for model combining conventional risk factors and GRS was 0.70 (0.65–0.74). Additionally, the net reclassification improvement was 9.98% (P = 0.001) when the GRS was added to the prediction model of a set of clinical risk factors. This prediction model enabled us to confirm the importance of GRS combined with clinical factors in predicting the risk of DN and enhanced identification of high-risk individuals for appropriate management of DN for intervention.

Details

Title
Genetic risk score for risk prediction of diabetic nephropathy in Han Chinese type 2 diabetes patients
Author
Li-Na, Liao 1 ; Tsai-Chung, Li 2   VIAFID ORCID Logo  ; Chia-Ing, Li 3 ; Liu, Chiu-Shong 4 ; Wen-Yuan, Lin 5   VIAFID ORCID Logo  ; Chih-Hsueh, Lin 5 ; Chuan-Wei, Yang 6 ; Ching-Chu, Chen 7 ; Chang, Chiz-Tzung 8 ; Ya-Fei, Yang 8 ; Yao-Lung, Liu 8 ; Huey-Liang, Kuo 9 ; Tsai, Fuu-Jen 10 ; Cheng-Chieh, Lin 4 

1  Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan 
2  Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan; Department of Healthcare Administration, College of Medical and Health Sciences, Asia University, Taichung, Taiwan 
3  School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan; Department of Medical Research, China Medical University Hospital, Taichung, Taiwan 
4  School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan; Department of Medical Research, China Medical University Hospital, Taichung, Taiwan; Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan 
5  School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan; Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan 
6  Department of Medical Research, China Medical University Hospital, Taichung, Taiwan 
7  Division of Endocrinology and Metabolism, Department of Medicine, China Medical University Hospital, Taichung, Taiwan; School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan 
8  School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan; Kidney Institute and Division of Nephrology, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan 
9  School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan; Kidney Institute and Division of Nephrology, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan; Graduate Institute of Clinical Medical Science, College of Medicine, China Medical University, Taichung, Taiwan 
10  School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan; Human Genetic Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan 
Pages
1-9
Publication year
2019
Publication date
Dec 2019
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41598-019-56400-3
ProQuest document ID
2330969547
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.