Pathway insights and predictive modeling for type 2 diabetes using polygenic risk scores

Pathway insights and predictive modeling for type 2 diabetes using polygenic risk scores

Abstract Type 2 diabetes (T2D) poses a significant global health burden. We developed a polygenic risk score (PRS) model based on genome-wide association study (GWAS) findings and integrated it with clinical data to predict T2D risk. This study analyzed electronic medical records from a major medica...

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Bibliographic Details
Main Authors: Wen-Ling Liao, Jai-Sing Yang, Ting-Yuan Liu, Hsing-Fang Lu, Ya-Wen Chang, Fuu-Jen Tsai
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Type 2 diabetes
Polygenic risk score
Score system
PheWAS
Pathway analysis
Online Access:https://doi.org/10.1038/s41598-025-13391-8
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https://doi.org/10.1038/s41598-025-13391-8

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