Core Insights - A new genetic risk scoring model for type 1 diabetes (C-GRS) has been developed by a collaborative team from Central South University and international partners, aimed at improving diabetes diagnosis and personalized treatment for the Chinese population [1][2] - The model is based on genomic data from over 2,000 type 1 diabetes patients, 1,000 type 2 diabetes patients, and 3,000 healthy individuals, and has been validated in over 20,000 diabetes patients in Hong Kong [2] Group 1 - The C-GRS model addresses the limitations of traditional diabetes classification methods, which often rely on clinical characteristics such as age of onset and body mass index (BMI) [1] - Approximately two-thirds of type 1 diabetes patients in China are adults, with many presenting atypical symptoms, complicating diagnosis [1] - The model aims to identify 20 to 40 additional type 1 diabetes cases for every 100 patients tested, enhancing early detection and risk prediction for high-risk individuals [2] Group 2 - Future plans include recruiting 3,000 newly diagnosed patients across over 80 top-tier hospitals in China for multi-center clinical research to further assess the model's clinical application [2] - The research team intends to integrate environmental factors with the C-GRS to create a more comprehensive predictive model for diabetes classification and treatment [2]