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July 25, 2025Open Access

Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestries.

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Authors

AHAlicia Huerta‐ChagoyaJKJoohyun KimRMRavi Mandla

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Overview

The study demonstrates improved T2D prediction accuracy using multi-ancestry polygenic risk scores, suggesting enhanced clinical utility for diverse ancestries.

Key Points

  • Multi-ancestry polygenic risk scores significantly improved type 2 diabetes prediction across five diverse ancestries.
  • Individuals at the 97.5th percentile of polygenic risk scores had a 6-fold increased risk of type 2 diabetes in certain ancestry groups.
  • An extensive dataset, including 360,000 T2D cases, was utilized for constructing and validating the polygenic risk scores.
  • These polygenic risk scores also predicted microvascular complications more accurately than previously reported scores.

Cite This Study

Huerta‐Chagoya et al. (2025) studied this question.

synapsesocial.com/papers/689a0933e6551bb0af8ce2dfhttps://doi.org/10.1101/2025.07.21.25331778
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Pathway insights and predictive modeling for type 2 diabetes using polygenic risk scores2025
  2. 2Enabling reproducible type 1 diabetes polygenic risk scoring for clinical and translational applications2025 · 1 citations
  3. 3Development and Validation of a Type 1 Diabetes Multi-Ancestry Polygenic Score2025 · 1 citations
  4. 4Ancestry Specific Polygenic Risk Score, Dietary Patterns, Physical Activity and Incident Type 2 Diabetes2025
  5. 5Associations of polygenic risk scores for type 2 diabetes with metabolic measures in Pacific Islanders from Guam and Saipan2026