Development and Validation of a Type 1 Diabetes Multi-Ancestry Polygenic Score

Type 1 diabetes polygenic scores are highly predictive of disease risk, but their performance varies based on genetic ancestry. Can we develop a polygenic score that accurately predicts type 1 diabetes risk across diverse populations? Our novel polygenic score performs similar to existing scores in European populations, and it demonstrates superior performance in non-European populations. This polygenic score will improve prediction of type 1 diabetes risk in genetically diverse populations.

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Journal
Diabetes
Published
2025-11-14
DOI
https://doi.org/10.2337/db25-0772
Primary Topic
Diabetes and associated disorders
Type
article
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article

Development and Validation of a Type 1 Diabetes Multi-Ancestry Polygenic Score

Aaron J. Deutsch, Alicia Huerta‐Chagoya, Andrew S. Bell, Ruth Nanjala et al.
Diabetes
Diabetes and associated disorders
article

Development and Validation of a Type 1 Diabetes Multi-Ancestry Polygenic Score

Aaron J. Deutsch, Alicia Huerta‐Chagoya, Andrew S. Bell, Ruth Nanjala, Stella Nam, Maggie Ng, Alisa K. Manning, Raymond J. Kreienkamp, Yang Luo, Alison A. Motsinger‐Reif, Seth A. Sharp, Miriam S. Udler, Dominika A. Michalek, Stephen S. Rich, Adam Burkholder, Suna Önengüt-Gümüşcü, Ravi Mandla, Josep M. Mercader, Richard A. Oram, Jose C. Florez
article en

Abstract

Type 1 diabetes polygenic scores are highly predictive of disease risk, but their performance varies based on genetic ancestry. Can we develop a polygenic score that accurately predicts type 1 diabetes risk across diverse populations? Our novel polygenic score performs similar to existing scores in European populations, and it demonstrates superior performance in non-European populations. This polygenic score will improve prediction of type 1 diabetes risk in genetically diverse populations.

DiabetesVol. 75(1)
Broad Institute (US), Boston Children's Hospital (US), Harvard University (US), University of Exeter (GB), Royal Devon & Exeter NHS Foundation Trust (GB), University of Oxford (GB), Massachusetts General Hospital (US), National Institute of Environmental Health Sciences (US), National Institute of Health (AM), Boston Children's Museum (US), Center for Genomic Science (IT), University of Virginia (US), University of Pennsylvania (US), Vanderbilt University Medical Center (US), Philadelphia University (US)
Openalex Percentile: Top 64%
Diabetes and associated disorders
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