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August 3, 2025Open Access

Enabling reproducible type 1 diabetes polygenic risk scoring for clinical and translational applications

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Authors

MBMaizy S. BrasherMFMatthew J. FisherCWC. Wild

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Overview

Adapted polygenic risk scores improve diabetes subtype identification in a biobank, suggesting enhanced clinical decision-making.

Key Points

  • Polygenic risk scores effectively distinguish type 1 from type 2 diabetes with AUC greater than 0.80.
  • High-risk individuals in the top quintile account for nearly half of all diabetic ketoacidosis cases.
  • A structured pipeline for clinical translation of polygenic risk scores was developed and publicly shared.
  • This approach facilitates equitable clinical use and aids in personalized treatment of diabetes.

Cite This Study

Brasher et al. (2025) studied this question.

synapsesocial.com/papers/689a0c7be6551bb0af8d07d1https://doi.org/10.1101/2025.07.15.25331523
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