scholarly journals The Application of Next Generation Sequencing Maturity Onset Diabetes of the Young Gene Panel in Turkish Patients from Trakya Region

Author(s):  
Sinem YALCINTEPE ◽  
Fatma OZGUC COMLEK ◽  
Hakan GURKAN ◽  
Selma DEMIR ◽  
Emine Ikbal ATLI ◽  
...  
2018 ◽  
Vol 31 (12) ◽  
pp. 1295-1304 ◽  
Author(s):  
Taha R. Özdemir ◽  
Özgür Kırbıyık ◽  
Bumin N. Dündar ◽  
Ayhan Abacı ◽  
Özge Ö. Kaya ◽  
...  

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.


2014 ◽  
Vol 82 (4) ◽  
pp. 533-542 ◽  
Author(s):  
Aaron Chapla ◽  
Mahesh Doddabelavangala Mruthyunjaya ◽  
Hesarghatta Shyamasunder Asha ◽  
Denny Varghese ◽  
Manika Varshney ◽  
...  

2021 ◽  
Author(s):  
Mustafa Dogan ◽  
Recep Eroz ◽  
Semih Bolu ◽  
Hüseyin Yüce ◽  
Alper Gezdirici ◽  
...  

Abstract Background: Maturity-onset diabetes of the young (MODY), which is the most common cause of monogenic diabetes, has an autosomal dominant pattern of inheritance and exhibits marked clinical and genetic heterogeneity. The aim of the current study was to investigate molecular defects in patients with clinically suspected MODY using a next-generation sequencing (NGS)-based targeted gene panel. Candidate patients with clinical suspicion of MODY and their parents were included in the study. Molecular genetic analyses were performed on genomic DNA by using NGS. A panel of thirteen MODY-related genes involving ABCC8, BLK, CEL, GCK, HNF1A, HNF1B, HNF4A, INS, KCNJ11, KLF11, NEUROD1, PAX4, PDX1 was designed and subsequently implemented to screen 44 patients for genetic variants. Ten different pathogenic or likely pathogenic variants were identified in MODY-suspected patients, with a diagnostic rate of 22.7%. Eight variants of uncertain significance were also detected. Four novel pathogenic or likely pathogenic variants were detected in the genes GCK (c.1301G>T [p.Cys434Phe]), HNF1A (c.505_506delAA [p.Lys169AlafsTer18]), ABCC8 (c.3584C>T [p.Thr1195Ile]), and CEL (c.679-1G>A). Intriguingly, we were able to detect variants associated with rare forms of MODY in our study population. Our results suggest that in heterogenous diseases such as MODY, NGS analysis enables accurate identification of underlying molecular defects in a timely and cost-effective manner. Although MODY accounts for 1–2% of all diabetic cases, molecular genetic diagnosis of MODY is necessary for optimal long-term treatment and prognosis as well as for effective genetic counseling.


Author(s):  
Ahmet Anık ◽  
Gönül Çatlı ◽  
Ayhan Abacı ◽  
Erkan Sarı ◽  
Ediz Yeşilkaya ◽  
...  

AbstractTo perform molecular analysis of pediatric maturity onset diabetes of the young (MODY) patients by next-generation sequencing, which enables simultaneous analysis of multiple genes in a single test, to determine the genetic etiology of a group of Turkish children clinically diagnosed as MODY, and to assess genotype-phenotype relationship.Forty-two children diagnosed with MODY and their parents were enrolled in the study. Clinical and laboratory characteristics of the patients at the time of diagnosis were obtained from hospital records. Molecular analyses ofA mutation in MODY genes was identified in 12 (29%) of the cases.The results of this study showed that mutations in the


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1223-1223
Author(s):  
J. R. Marques Soares ◽  
M. Antolin Mate ◽  
E. Garcia Arumi ◽  
E. Tizzano Ferrari ◽  
S. Bujan Rivas

Background:Systemic autoinflammatory diseases (sAID) are a group of conditions with recurrent episodes of inflammation in absence of infection or autoimmune response. Its physiopathology mainly lies on mono/poligenic mutations involving genes related to the innate immune system response. Next Generation Sequencing (NGS) platformss have been a big step forward on sAID diagnosis, although a clinical and genetic correlation is still needed.Objectives:To review the sAID related gene panel variants identified using NGS sAID gene panel on a cohort of adult patients screened for sAID from a referral third-level hospital.To correlate genetic and clinical findings for sAID related variants identified in order to the clinical suspicion diagnosis of sAID.Methods:A retrospective review of a cohort of adult (≥ 16 yo) patients with available NGS sAID related gene panel (MiSeq Illumina sequencing platform including intron and exon variants from up to 17 sAID genes, with coverage depth > x100) among 2014 and 2019 was performed.Demographic, clinical and genetic data were collected in a database.Genetic variants were classified according to the American College of Medical Genetics/Association for Molecular Pathology classification as benign/likely benign/variable of unknown significance (VUS)/likely pathogenic/pathogenic. In case of polymorphisms or lack of genetic data, the variants were named as unclassified.A description of the cohort and an analysis of the correlation assessment between clinical data and genetic findings were performed.Results:246 out of 299 (82%) patients with NGS sAID gene panel had clinical data available. 170/246 (69%) were adult patients. The medium age was 48 yo, and the M/F ratio was 2.46. 87/170 (51%) adult patients presented 122 variants involving sAID genes (60/87 patients with a single variant). All the variants out of 7 seven were heterozygous variants.Variants were classified according to ACMG/AMP as follow: pathogenic/probably pathogenic: 22/122 (18%), unknown significance: 74/122 (60.6%), benign/probably benign: 6/122 (4.91%). 20/122 (16.4%) were unclassified variants or polymorphisms.The most frequent variants identified involved MEFV (54/122), NOD2/CARD15 (18/122) and TNFRSF1A (17/122 including 12 p.Arg121Gln variants) genes.37/122 (30%) variants correlated with the clinical picture in 33 patients, allowing to confirm the suspected diagnosis. Among the 122 variants, 7 not previously communicated variants were identified.No somatic variants were found.Conclusion:NGS sAID related gene panel is a useful tool for sAID diagnosis. In this cohort of 170 adult patients from a referral third-level hospital, genetic tests identified sAID related variants in almost half of them.20% of patients who underwent genetic NGS sAID related gene panel studies were finally diagnosed with sAID.The identification of a genetic variant (even pathogenic / likely pathogenic variant) is not diagnostic for sAID if there is not a suggestive clinical picture.Despite genetic findings, a careful evaluation of clinical – genetic correlation is needed to confirm the suspicion diagnosis, especially for low penetrance variants like TNFRSF1A p. Arg121Gln.References:Diagnostic utility of a targeted next-generation sequencing gene panel in the clinical suspicion of systemic autoinflammatory diseases: a multi-center study. Karacan I, Balamir A, Uğurlu S, et al. . Rheumatol Int. 2019 May;39(5):911-919. doi: 10.1007/s00296-019-04252-5. Epub 2019 Feb 19.Disclosure of Interests:None declared


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