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July 26, 2025Open Access

Genetic Profiling and Early Detection of Type 2 Diabetes Subtypes through Sex-Stratified GWAS and Explainable AI

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Authors

LALorena AlonsoMPMiguel Ángel PérezMAMohammed Yousef Salem Ali

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Overview

This research uncovers genetic subtypes in type 2 diabetes through GWAS and machine learning, suggesting enhanced detection methods.

Key Points

  • The study identifies 184 genes defining the molecular landscapes of type 2 diabetes subtypes.
  • A new analytical framework integrates genome-wide association studies with machine learning for deeper insights.
  • The approach significantly improves risk detection of type 2 diabetes over traditional polygenic risk scores.
  • Findings emphasize the need for clinical stratification to understand the complex pathophysiology of type 2 diabetes.

Cite This Study

Alonso et al. (2025) studied this question.

synapsesocial.com/papers/689a0933e6551bb0af8ce5e4https://doi.org/10.1101/2025.07.24.25332120
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