
Remote and in-clinic models target early type 1 diabetes screening | ADA 2026
Key Takeaways
- A remote genetics-first workflow used a no-imputation SNP panel GRS (AUC > 0.9) with saliva collection and high-throughput centralized processing to enable population-scale screening.
- High GRS strata showed 10-fold higher odds of multiple autoantibodies despite a first-degree-relative cohort, supporting targeted allocation of autoantibody surveillance resources.
A fully remote genetic screening program and a multicenter quality improvement initiative both advanced early detection of type 1 diabetes.
Two studies presented at the
Early detection of stage 1 and stage 2 T1D is key to heading off diabetic ketoacidosis (DKA), which occurs in approximately 60% of pediatric cases at diagnosis. Yet traditional screening depends on invasive blood draws and remains inconsistent across care settings. Both research teams set out to remove those barriers, and both reported that no DKA events occurred among participants, an early signal that operationalizing screening can improve outcomes.
A fully remote, genetics-first model
Researchers launched what they described as the
The workflow relies on at-home saliva collection, which feeds a fully automated central laboratory capable of processing more than 1,000 samples per day. More than 1,000 first-degree relatives were enrolled in a prospective cohort and received at-home genetic testing, annual autoantibody testing via dried blood spots and virtual psychosocial support from certified counselors.
Participants stratified as high risk by the GRS had 10 times the odds of testing positive for multiple autoantibodies compared with the low-risk group, a difference the authors noted is significant given that nearly all participants were first-degree relatives. The investigators also reported that remote genetic counseling reduced participant anxiety over time, which they cited as evidence that a decentralized model can be delivered safely.
Operationalizing screening inside the clinic
A separate
Teams used standard quality improvement tools, including process mapping, fishbone diagrams and Plan-Do-Study-Act cycles, to target barriers through family education, workflow optimization and provider engagement and reported monthly on screening volumes, autoantibody status, staging and interventions. The 15% screening goal was exceeded by mid-2024, with growth peaking in mid-2025.
In total, 596 screenings identified 194 autoantibody-positive individuals; 48 met stage 1 criteria, and 49 met stage 2. A total of 101 patients were offered monitoring, and 46 received teplizumab, with no DKA reported.
The studies point to complementary routes to earlier detection. The remote program offers a cost-effective blueprint for population-level screening that identifies at-risk individuals early and allocates resources more efficiently, according to its authors. The quality improvement initiative shows that structured operational strategies can make screening sustainable within existing clinical workflows.


























