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Disentangling Type 2 Diabetes Risk and Comorbidity Using Genomic Structural Equation Modeling

2026-01-26

Abstract excerpt

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...

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Literature Corpus work
0fae526a-c590-5e49-b207-aeda55697eb8
DOI
10.64898/2026.01.26.26344825
Open publication

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Disentangling Type 2 Diabetes Risk and Comorbidity Using Genomic Structural Equation ModelingDOI 10.64898/2026.01.26.26344825
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