Type 1 diabetes (T1D) and celiac disease (CeD) are common autoimmune diseases detectable by autoantibodies. Population-based screenings, although piloted in small cohorts, remain rare and non-optimized, with limited research on cost-effective implementation strategies. Early detection or prediction of disease onset would allow effective preventive measures. This project aims to develop and validate combined risk models integrating polygenic risk scores for T1D and CeD risk stratification, identify efficient screening strategies, pilot population-based screening, and develop individualized risk profiles to design and evaluate prevention strategies. Our tools and models are designed for clinical application, aiming to support earlier diagnosis, enhance follow-up, and ultimately enable the prevention of T1D and CeD in health care settings. Our approach supports the ongoing shift from reactive diagnosis to proactive, improved risk-based care and significant savings in health care costs.

2026

2029