Unknown

Dataset Information

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


ABSTRACT:

Objective

Polygenic scores strongly predict type 1 diabetes risk, but most scores were developed in European-ancestry populations. In this study, we developed a multi-ancestry polygenic score to accurately predict type 1 diabetes risk across diverse populations.

Research design and methods

We used recent multi-ancestry genome-wide association studies to create a type 1 diabetes multi-ancestry polygenic score (T1D MAPS). We trained the score in the Mass General Brigham (MGB) Biobank (372 individuals with type 1 diabetes) and tested the score in the All of Us program (86 individuals with type 1 diabetes). We evaluated the area under the receiver operating characteristic curve (AUC), and we compared the AUC to two published single-ancestry scores: T1D GRS2EUR and T1D

SUBMITTER: Deutsch AJ 

PROVIDER: S-EPMC12204267 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature