Type 1 diabetes

T1D GRS: A Tool for Identifying Children and Adolescents with Monogenic Diabetes

Horm Res PaediatrPublished Diagnostic accuracy study

Authors' conclusion

Combining T1D GRS with autoantibody testing improves the efficiency of genetic testing by reducing unnecessary investigations while maintaining high sensitivity. When combined with clinical evaluation, this approach enables earlier and more targeted identification of candidates for monogenic diabetes testing.

Study context

Population
Children and adolescents with newly diagnosed hyperglycaemia (808), patients with monogenic diabetes (165) and healthy individuals (24)
Comparison
T1D GRS2 plus negative autoantibodies vs autoantibody testing alone for prioritising monogenic diabetes genetic testing
Outcome
Effectiveness of T1D GRS to prioritise children for monogenic diabetes genetic testing
Methodological detailsretrospective evaluation, Genetic testing in all autoantibody-negative and clinically unclassified cases
  • Retrospective evaluation
  • Genetic testing in all autoantibody-negative and clinically unclassified cases

Performance

As reported in the abstract

Prioritisation for monogenic diabetes genetic testing
Test or modelSensitivitySpecificity
T1D GRS2 + negative autoantibodies72.2%98.8%
Autoantibody testing alone77.8%92.9%

Sensitivity

T1D GRS2 + negative autoantibodies72.2%
Autoantibody testing alone77.8%

Specificity

T1D GRS2 + negative autoantibodies98.8%
Autoantibody testing alone92.9%

Further findings

OutcomeValues
Discrimination of T1D by T1D GRS2 (ROC)T1D GRS2 AUC 0.919 (95% CI: 0.898-0.941) · optimal cut-off 11.818

Monogenic cases missed by prioritisation

HNF1B-MODY cases identified solely by low GRS2
2
Most missed cases had low levels of a single autoantibody, likely false-positive autoantibody results; diagnosed on clinical phenotype

Original publication

T1D GRS: A Tool for Identifying Children and Adolescents with Monogenic Diabetes. Horm Res Paediatr. Published 30 March 2026. doi:10.1159/000551615

Composed by AI from the published abstract and checked against it. How Briefs are made →

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