Identification of causative gene variants for patients with known monogenic diabetes using a targeted next-generation sequencing panel in a single-center study

Aims

We aimed to verify the usefulness of targeted next-generation sequencing (NGS) technology for diagnosing monogenic diabetes in a single center.

Methods

We designed an amplicon-based NGS panel targeting 34 genes associated with known monogenic diabetes and performed resequencing in 56 patients with autoantibody-negative diabetes mellitus diagnosed at < 50 years who had not been highly obese. By bioinformatic analysis, we filtered significant variants based on allele frequency (< 0.005 in East Asians) and functional prediction. We estimated the pathogenicity of each variant upon considering the family history.

Results

Overall, 16 candidate causative variants were identified in 16 patients. Among them, two previously known heterozygous nonsynonymous single-nucleotide variants associated with monogenic diabetes were confirmed as causative variants: one each in the GCK and WFS1 genes. The former was found in two independent diabetes-affected families. Two novel putatively deleterious heterozygous variants were also assumed to be causative from the family history: one frameshift and one nonsynonymous single-nucleotide variant in the HNF4A gene. Twelve variants remained as candidates associated with the development of diabetes.

Conclusion

Targeted NGS panel testing was useful to diagnose various forms of monogenic diabetes in combination with familial analysis, but additional ingenuity would be needed for practice.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13340-023-00669-3.

Bilateral Adrenal Infarction That Developed in Latent Essential Thrombocythemia

Bilateral adrenal infarction is an extremely rare disease, and it has been reported that some coagulation abnormalities, including essential thrombocythemia (ET), exist in the background. We herein report a 76-year-old patient in whom the platelet count had been in the normal range at the onset of adrenal infarction but subsequently increased to 102×104/μL at 7 months later, leading to the diagnosis of JAK2V617F-positive ET. As the presence of the JAK2V617F mutation increases the risk of thrombosis, Janus kinase 2 (JAK2) genetic testing should be considered in some cases of nonspecific unknown thrombosis, even if there are no obvious hematological findings, such as clonal hematopoiesis of indeterminate potential (CHIP).