Published January 1, 2023 | Version v1
Journal article Open

Molecular diagnosis in patients with monogenic diabetes mellitus, and detection of a novel candidate gene

  • 1. Ege Univ, Fac Med, Dept Pediat Endocrinol, Izmir, Turkiye
  • 2. Ege Univ, Fac Med, Dept Pediat Genet, Izmir, Turkiye
  • 3. Near East Univ, Fac Med, Dept Pediat Endocrinol, Nicosia, Cyprus
  • 4. Dr Behcet Uz Cocuk Training & Res Hosp, Dept Pediat Endocrinol, Izmir, Turkiye
  • 5. Konya Training & Res Hosp, Dept Pediat Endocrinol, Konya, Turkiye
  • 6. Mardin Artuklu Univ, Dept Pediat Endocrinol, Mardin, Turkiye
  • 7. Multigen Genet Dis Diag Ctr, Izmir, Turkiye

Description

Aim: We aimed to investigate molecular genetic basis of monogenic diabetes (DM) and novel responsible candidate genes with targeted Next Generation Sequencing (NGS) and Whole Exome Sequencing (WES). Methods: A hundred cases presenting with clinical findings and a family history of monogenic DM were included in the study. Molecular analysis was performed using an NGS panel including 14 genes. Following targeted NGS, WES was planned in cases in whom no variant was detected. Results: Thirty different disease-causing variants in seven different genes were detected in thirty-five (35 %) cases with targeted NGS approach. Most common pathogenic variant was found in GCK gene in 25 (25 %) cases. Four different variants were detected in 4 (4 %) patients in ABCC8 gene. In 45 of 65 cases; WES analyses were done. A heterozygous c.2635C > T(p.Gln879Ter) variant was detected in IFIH1 gene in a patient with incidental hyperglycemia. In the segregation analysis affected mother was shown to be heterozygous for the same variant. Conclusion: Molecular etiology was determined in 35 % cases with the NGS targeted panel. Seventeen novel variants in monogenic DM genes have been identified. A candidate gene determined by WES analysis in a case that could not be diagnosed with NGS panel in this study.

Files

bib-8739a3be-3607-42ad-b235-be8b4731808f.txt

Files (310 Bytes)

Name Size Download all
md5:99f2e59f166116706fe88310bf8eda99
310 Bytes Preview Download