Standardized Measurement of Type 1 Diabetes Polygenic Risk Across Multi-Ancestry Population Cohorts.
medRxiv : the preprint server for health sciences
      
  | Authors | |
| Abstract | Type 1 diabetes (T1D) polygenic risk scores (PRS) are effective tools for discriminating T1D from other diabetes types and predicting T1D risk, with applications in screening and intervention trials. A previously published T1D Genetic Risk Score 2 (GRS2) is widely adopted, but challenges in standardization and accessibility have hindered broader clinical and research utility. To address this, we introduce GRS2x, a standardized and cross-compatible method for accurate T1D PRS calculation, demonstrating genotyping and reference panel independent performance across diverse datasets. GRS2x as a unified approach facilitates accessible and portable measurement of T1D polygenic risk. | 
| Year of Publication | 2025 | 
| Journal | medRxiv : the preprint server for health sciences | 
| Date Published | 01/2025 | 
| DOI | 10.1101/2025.01.16.25320691 | 
| PubMed ID | 39867414 | 
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