Proteomic Analyses in Diverse Populations Improved Risk Prediction and Identified New Drug Targets for Type 2 Diabetes.
Yao P, Iona A, Pozarickij A, Said S, Wright N, Lin K, Millwood I, Fry H, Kartsonaki C, Mazidi M, Chen Y, Bragg F, Liu B, Yang L, Liu J, Avery D, Schmidt D, Sun D, Pei P, Lv J, Yu C, Hill M, Bennett D, Walters R, Li L, Clarke R, Du H, Chen Z; China Kadoorie Biobank Collaborative Group.
Yao P, et al.
Diabetes Care. 2024 Apr 16:dc232145. doi: 10.2337/dc23-2145. Online ahead of print.
Diabetes Care. 2024.
PMID: 38623619
Proteomic-based risk models were developed with discrimination, calibration, reclassification assessed using area under the curve (AUC), calibration plots, and net reclassification index (NRI), respectively. Two-sample Mendelian randomization (MR) analyses using cis-protei …
Proteomic-based risk models were developed with discrimination, calibration, reclassification assessed using area under the curve (AUC), cal …