ArticleJournal of diabetes and metabolic disorders2024
Identification of rare variants in candidate genes associated with monogenic diabetes in polish mody-x patients.
Article in Journal of diabetes and metabolic disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Genomic landscape of Mexican patients with maturity onset diabetes of the young: beyond mutations in MODY-known genes.Frontiers in endocrinology · 2026Article
- The Complex Gene-Carbohydrate Interaction in Type 2 Diabetes: Between Current Knowledge and Future Perspectives.Nutrients · 2025Review
- Genetic Structure of Hereditary Forms of Diabetes Mellitus in Russia.International journal of molecular sciences · 2025Article
- MODY Only Monogenic? A Narrative Review of theInternational journal of molecular sciences · 2024Review
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Authors and funding
8 authors.
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Abstract
Purpose: Monogenic diabetes (MD) is caused by a mutation in a single gene and accounts for approximately 2.5-6% of all diabetes cases. Maturity-onset diabetes of the young (MODY) is the most common form of MD. To date, 14 different genes have been identified and associated with the presence of MODY phenotype. However, the number of potential candidate genes with relevance to beta cell function and glucose metabolism is increasing as more research is published. The aim of the study was to identify potentially causative variants in selected candidate genes in patients with a clinical diagnosis of MD. Methods: Targeted Next-Generation Sequencing (tNGS) on Illumina NextSeq 550 platform involving Agilent SureSelectQXT Target Enrichment protocol for 994 patients with suspected MD was performed. In the next step, the sequencing data of 617 patients with no pathogenic variants in main MD-related genes were reanalysed for the presence of causative variants in six candidate genes ( Results: Seven heterozygous possibly damaging variants were identified in four candidate genes ( Conclusions: The results obtained seem to confirm the effectiveness of the NGS method in identifying potentially causative variants in novel candidate genes associated with MODY diabetes.
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