MODY probability calculator utility in individuals' selection for genetic testing: Its accuracy and performance

Introduction MODY probability calculator (MPC) represents an easy‐to‐use tool developed by Exeter University to help clinicians prioritize which individuals should be oriented to genetic testing. We aimed to assess the utility of MPC in a Portuguese cohort with early‐onset monogenic diabetes. Method...

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Veröffentlicht in:Endocrinology, Diabetes & Metabolism Diabetes & Metabolism, 2022-09, Vol.5 (5), p.e00332-n/a
Hauptverfasser: Silva Santos, Tiago, Fonseca, Liliana, Santos Monteiro, Sílvia, Borges Duarte, Diana, Martins Lopes, Ana, Couto de Carvalho, André, Oliveira, Maria João, Borges, Teresa, Laranjeira, Francisco, Couce, María Luz, Cardoso, Maria Helena
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Sprache:eng
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Zusammenfassung:Introduction MODY probability calculator (MPC) represents an easy‐to‐use tool developed by Exeter University to help clinicians prioritize which individuals should be oriented to genetic testing. We aimed to assess the utility of MPC in a Portuguese cohort with early‐onset monogenic diabetes. Methods This single‐centre retrospective study enrolled 132 participants submitted to genetic testing between 2015 and 2020. Automatic sequencing and, in case of initial negative results, generation sequencing were performed. MODY probability was calculated using the probability calculator available online. Positive and negative predictive values (PPV and NPV, respectively), accuracy, sensitivity and specificity of the calculator were determined for this cohort. Results Seventy‐three individuals were included according to inclusion criteria: 20 glucokinase (GCK‐MODY); 16 hepatocyte nuclear factor 1A (HNF1A‐MODY); 2 hepatocyte nuclear factor 4A (HNF4A‐MODY) and 35 DM individuals with no monogenic mutations found. The median probability score of MODY was significantly higher in monogenic diabetes‐positive subgroup (75.5% vs. 24.2%, p 
ISSN:2398-9238
2398-9238
DOI:10.1002/edm2.332