Literature DB >> 30447144

Targeted next generation sequencing in patients with maturity-onset diabetes of the young (MODY).

Taha R Özdemir1, Özgür Kırbıyık1, Bumin N Dündar2, Ayhan Abacı3, Özge Ö Kaya1, Gönül Çatlı2, Berk Özyılmaz1, Sezer Acar3, Altuğ Koç1, Merve S Güvenç1, Yaşar B Kutbay1, Kadri M Erdoğan1.   

Abstract

Background Maturity-onset diabetes of the young (MODY) is a common form of monogenic diabetes. Fourteen genes have been identified, each leading to cause a different type of MODY. The aims of this study were to reveal both known and novel variants in MODY genes in patients with MODY using targeted next generation sequencing (NGS) and to present the genotype-phenotype correlations. Methods Mutation analysis of MODY genes (GCK, HNF1A, HNF4A, HNF1B, ABCC8, INS and KCNJ11) was performed using targeted NGS in 106 patients with a clinical diagnosis of MODY. The variants were evaluated according to American College of Medical Genetics and Genomics (ACMG) Standards and Guidelines recommendations. Results A total of 18 (17%) variants were revealed among all patients. Seven variants in GCK, six in HNF4A, four in HNF1A and one in ABCC8 genes were found. Eight of them were previously published and 10 of them were assessed as novel pathogenic or likely pathogenic variants. Conclusions While the most frequent mutations are found in the HNF1A gene in the literature, most of the variants were found in the GCK gene in our patient group using the NGS method, which allows simultaneous analysis of multiple genes in a single panel.

Entities:  

Keywords:  MODY; genotype; next generation sequencing; novel mutation; phenotype

Mesh:

Year:  2018        PMID: 30447144     DOI: 10.1515/jpem-2018-0184

Source DB:  PubMed          Journal:  J Pediatr Endocrinol Metab        ISSN: 0334-018X            Impact factor:   1.634


  6 in total

1.  Low genetic confirmation rate in South Indian subjects with a clinical diagnosis of maturity-onset diabetes of the young (MODY) who underwent targeted next-generation sequencing for 13 genes.

Authors:  G Sampathkumar; P P Valiyaparambil; H Kumar; N Bhavani; V Nair; U Menon; A Menon; N Abraham; A Chapla; N Thomas
Journal:  J Endocrinol Invest       Date:  2021-11-06       Impact factor: 4.256

2.  Diabetes Mellitus Diagnosed in Childhood and Adolescence With Negative Autoimmunity: Results of Genetic Investigation.

Authors:  Marilea Lezzi; Concetta Aloi; Alessandro Salina; Martina Fragola; Marta Bassi; Marina Francesca Strati; Giuseppe d'Annunzio; Nicola Minuto; Mohamad Maghnie
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-13       Impact factor: 6.055

3.  Systematic genetic testing for recessively inherited monogenic diabetes: a cross-sectional study in paediatric diabetes clinics.

Authors:  Kashyap A Patel; Mehmet N Ozbek; Melek Yildiz; Tulay Guran; Cemil Kocyigit; Sezer Acar; Zeynep Siklar; Muge Atar; Kevin Colclough; Jayne Houghton; Matthew B Johnson; Sian Ellard; Sarah E Flanagan; Filiz Cizmecioglu; Merih Berberoglu; Korcan Demir; Gonul Catli; Serpil Bas; Teoman Akcay; Huseyin Demirbilek; Michael N Weedon; Andrew T Hattersley
Journal:  Diabetologia       Date:  2021-10-23       Impact factor: 10.122

4.  Familial Predisposition to Leiomyomata: Searching for Protective Genetic Factors.

Authors:  Maria V Kuznetsova; Nelly S Sogoyan; Andrew J Donnikov; Dmitry Y Trofimov; Leila V Adamyan; Natalia D Mishina; Jekaterina Shubina; Dmitry V Zelensky; Gennady T Sukhikh
Journal:  Biomedicines       Date:  2022-02-21

5.  HNF4A Regulates the Proliferation and Tumor Formation of Cervical Cancer Cells through the Wnt/β-Catenin Pathway.

Authors:  Hong-Mei Ma; Qian Zhang; Xue-Mei Yang; Yan Hu; Juan Zhang; Lin Chen; Bin Zhao; Wen-Ting Yang; Rui Xu
Journal:  Oxid Med Cell Longev       Date:  2022-01-28       Impact factor: 6.543

6.  MODY2 in Asia: analysis of GCK mutations and clinical characteristics.

Authors:  Yuan Zhou; ShengNan Wang; Jing Wu; JianJun Dong; Lin Liao
Journal:  Endocr Connect       Date:  2020-05       Impact factor: 3.335

  6 in total

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