Genomic Insights into Unspecified Monogenic Forms of Diabetes and Their Associated Comorbidities: Implication for Treatment

Abstract

This study focuses on the genetic and clinical characterization of Monogenic Forms of Diabetes (MFD), which are frequently underdiagnosed or misclassified due to clinical similarities with type 1 and type 2 diabetes. Researchers performed Exome Sequencing on 11 Tunisian patients suspected of having MFD. The pathogenicity of genetic variants was assessed using filtering and bioinformatics prediction tools. The ORVAL online tool was used to predict the likelihood of combinations of pathogenic variants. Sanger sequencing confirmed likely pathogenic predicted variants in patients and assessed familial segregation. We identified 15 potentially pathogenic variants in 14 genes linked to MFD, including MODY-3, and isolated diabetes with low penetrance for Wolfram syndrome. Additionally, syndromic forms such as partial familial lipodystrophy types 2 and 4, and Wolfram syndrome were detected. Five patients exhibited characteristics of unspecified MFD. This study underscores the importance of genetic screening in individuals with diabetes who have a family history of the disease, particularly those with associated comorbidities. Our findings emphasize the crucial role of genetic testing in refining diabetes classification, leading to more accurate diagnoses. Therefore, integrating genetic research into clinical practice is essential to improving healthcare outcomes for patients with diabetes.