Novel type 1 diabetes polygenic scores improve identification of type 1 diabetes in diverse populations
· 2026-09-08 · 原文
DOI：10.64898/2026.09.04.26361335v1?rss=1
Most polygenic scores (PS) for type 1 diabetes were developed using European (EUR) ancestry datasets, limiting performance in non-European (non-EUR) populations. We evaluated novel type 1 diabetes PS across diverse populations to assess whether newer models improve prediction in underrepresented populations. Seven type 1 diabetes PS (T1D GRS2, T1D GRS2', T1D GRSHLA, T1GRS, TA-PS, TA-PS (S), T1D MAPS) were evaluated in All of Us and Mass General Brigham Biobank. Predictive performance was assessed using the area under the receiver operating characteristic curve (AUC). T1D GRS2 and T1D MAPS showed the highest AUC in All of Us, while other scores demonstrated comparatively lower performance. These highest-performing scores were then evaluated in a meta-analysis across three additional biobank
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1. 人话版
Most polygenic scores (PS) for type 1 diabetes were developed using European (EUR) ancestry datasets, limiting performance in non-European (non-EUR) populations.
We evaluated novel type 1 diabetes PS across diverse populations to assess whether newer models improve prediction in underrepresented populations.
2. 领域脉络
来源板块：板块一 · 研究前沿。
3. 机制拆解
Predictive performance was assessed using the area under the receiver operating characteristic curve (AUC).
4. 证据与数字
Seven type 1 diabetes PS (T1D GRS2, T1D GRS2', T1D GRSHLA, T1GRS, TA-PS, TA-PS (S), T1D MAPS) were evaluated in All of Us and Mass General Brigham Biobank.
T1D GRS2 and T1D MAPS showed the highest AUC in All of Us, while other scores demonstrated comparatively lower performance.
5. 反例与边界
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6. 跨领域连接与意外收获
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7. 可复用方法
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8. 术语表
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