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Objective: The aim of this study was to investigate the molecular basis of maturity-onset diabetes of the young (MODY) by targeted-gene sequencing of 20 genes related to monogenic diabetes, estimate the frequency and describe the clinical characteristics of monogenic diabetes and MODY in the Trakya Region of Turkey.
Methods: A panel of 20 monogenic diabetes related genes were screened in 61 cases. Illumina NextSeq550 system was used for sequencing. Pathogenicity of the variants were assessed by bioinformatics prediction software programs and segregation analyses.
Results: In 29 (47.5%) cases, 31 pathogenic/likely pathogenic variants in the genes and in 11 (18%) cases, 14 variants of uncertain significance (VUS) in the and genes were identified. There were six different pathogenic/likely pathogenic variants and six different VUS which were novel.
Conclusion: This is the first study including molecular studies of twenty monogenic diabetes genes in Turkish cases in the Trakya Region. The results showed that pathogenic variants in the gene are the leading cause of MODY in our population. A high frequency of novel variants (32.4%-12/37) in the current study, suggests that multiple gene analysis provides accurate genetic diagnosis in MODY.
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http://dx.doi.org/10.4274/jcrpe.galenos.2021.2020.0285 | DOI Listing |
Nat Metab
September 2025
Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Young-onset monogenic disorders often show variable penetrance, yet the underlying causes remain poorly understood. Uncovering these influences could reveal new biological mechanisms and enhance risk prediction for monogenic diseases. Here we show that polygenic background substantially shapes the clinical presentation of maturity-onset diabetes of the young (MODY), a common monogenic form of diabetes that typically presents in adolescence or early adulthood.
View Article and Find Full Text PDFNat Metab
September 2025
Department of Clinical Sciences Malmö, Lund University, Skåne University Hospital, Malmö, Sweden.
Horm Res Paediatr
September 2025
Background: Neonatal diabetes mellitus (NDM) is a rare monogenic disorder, typically diagnosed within the first six months of life. While NDM is well-recognized globally, data from India regarding its clinical characteristics, treatment strategies, and long-term outcomes are scarce.
Objectives: To describe the molecular characterization, clinical phenotype and follow-up of children with NDM.
Diabetes Res Clin Pract
September 2025
St Vincent's Clinical Campus, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Wallace Wurth Building (C27), Cnr High St & Botany St, Kensington, Sydney 2052 NSW, Australia; Clinical Genomics, St Vincent's Hospital Sydney, Translational Research Centre, 97-
Aims: Monogenic diabetes (MGD), such as Maturity-Onset Diabetes of the Young (MODY), is under-recognised and under-diagnosed. Accurate diagnosis of MGD requires genetic testing and has important treatment implications. Integrating MGD testing within diabetes clinics can increase testing uptake and MGD diagnosis.
View Article and Find Full Text PDFNat Genet
September 2025
State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing, China. su
Systematic characterization of the molecular states of cells in livestock tissues is essential for understanding the cellular and genetic mechanisms underlying economically and ecologically important physiological traits. Here, as part of the Farm Animal Genotype-Tissue Expression (FarmGTEx) project, we describe a comprehensive reference map including 1,793,854 cells from 59 bovine tissues in calves and adult cattle, spanning both sexes, which reveals intra-tissue and inter-tissue cellular heterogeneity in gene expression, transcription factor regulation and intercellular communication. Integrative analysis with genetic variants that underpin bovine monogenic and complex traits uncovers cell types of relevance, such as spermatocytes, responsible for sperm motility and excitatory neurons for milk fat yield.
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