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Disentangling Type 2 Diabetes Risk and Comorbidity Using Genomic Structural Equation Modeling
2026-01-26
genetic and genomic medicine
Title + abstract only
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Type 2 diabetes (T2D) is a genetically and clinically heterogeneous disorder influenced by metabolic, lifestyle, and cardiometabolic factors. Understanding the shared and distinct genetic architecture underlying T2D and its upstream risk traits is critical for improved risk prediction and stratified intervention. We applied genomic structural equation modeling (SEM) to genome-wide association study (GWAS) summary statistics for eight T2D-related phenotypes: gestational diabetes, hypertension, gl...
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