Evidence map›Paper›PMID 42612686›Full record

ArticleDiabetes care2026

Clinical Utility of a Type 1 Diabetes Genetic Risk Score Measured as Part of MODY Genetic Testing.

Jacques Murray Leech, Aparajita Sriram, Kevin Colclough, Andrew T Hattersley, Jayne A L Houghton, Thomas W Laver, Kashyap A Patel

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Article in Diabetes care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jacques Murray LeechInstitute of Biomedical and Clinical Sciences, University of Exeter, Exeter, U.K.
Aparajita SriramInstitute of Biomedical and Clinical Sciences, University of Exeter, Exeter, U.K.
Kevin ColcloughExeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, U.K.
Andrew T HattersleyInstitute of Biomedical and Clinical Sciences, University of Exeter, Exeter, U.K.
Jayne A L HoughtonInstitute of Biomedical and Clinical Sciences, University of Exeter, Exeter, U.K.
Thomas W LaverInstitute of Biomedical and Clinical Sciences, University of Exeter, Exeter, U.K.
Kashyap A PatelInstitute of Biomedical and Clinical Sciences, University of Exeter, Exeter, U.K.ORCID 0000-0002-9240-8104

Funding

Diabetes UK 19/0005994Diabetes UK 21/0006335MRC MR/T00200X/1
6 · The paper itself

Abstract

objectiveTo evaluate the clinical utility of incorporating a type 1 diabetes genetic risk score (T1DGRS) into monogenic diabetes gene panel testing for individuals referred for suspected maturity-onset diabetes of the young (MODY) from routine clinical practice. RESEARCH DESIGN AND

methodsWe studied 1,129 individuals treated with insulin referred for MODY genetic testing. All underwent gene panel testing that included 10 variants to calculate T1DGRS. We compared T1DGRS distributions with reference populations to estimate the type 1 diabetes (T1D) prevalence within referred individuals. We defined age-specific T1DGRS thresholds to identify probable T1D (positive predictive value ≥80%) and applied them in individuals genetically unsolved MODY to assess its utility as a pregenetic testing triage tool.

resultsT1DGRS in MODY referral individuals was intermediate between reference populations with and without T1D, consistent with an estimated 20% (95% CI 14.9-25.2%) T1D in this real-world setting. After genetic testing, no excess T1DGRS was observed in individuals with genetically solved MODY, whereas those with unsolved MODY showed enrichment consistent with 26.0% T1D, with highest values in children (76.2%) and lowest in adults (16.8%). Age-specific T1DGRS thresholds identified 16.1% (95% CI 13.8-18.5%) of genetically unsolved MODY as probable T1D. As a pretesting tool, T1DGRS showed limited discrimination overall (area under the curve [AUC] 0.60) but performed well in children aged <10 years (AUC 0.83), where >50% of tests could be avoided without missing MODY.

conclusionsIncorporating a T1DGRS into routine MODY gene panel testing is feasible and clinically valuable. This approach broadens genomic diagnostics beyond monogenic disease by identifying T1D in individuals with genetically unsolved MODY. Pregenetic testing utility is age dependent and may reduce unnecessary testing in pediatric patients.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Genetic TestingAdolescentAdultChildChild, PreschoolFemaleGenetic Risk ScoreHumansMaleYoung Adult

Identifiers

PMID42612686

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