Literature DB >> 30912798

Copy Number Variation in GCK in Patients With Maturity-Onset Diabetes of the Young.

Amanda J Berberich1, Céline Huot2, Henian Cao1, Adam D McIntyre1, John F Robinson1, Jian Wang1, Robert A Hegele1.   

Abstract

PURPOSE: Next generation sequencing (NGS) methods to diagnose maturity-onset diabetes of the young (MODY), a monogenic autosomal dominant cause of diabetes, do not typically detect large-scale copy number variations (CNVs). New techniques may allow assessment for CNVs using output data from targeted NGS, without requiring additional sequencing. Using this technique, two kindreds of patients presenting with features of MODY were found to bear the same heterozygous large-scale deletion in GCK.
METHODS: Patients suspected of having MODY but with negative targeted NGS pathogenic variant calling were reanalyzed using the CNV caller tool (VarSeq v1.4.3). Two patients were identified as having a possible heterozygous whole exon deletion affecting exon 1 of GCK. For confirmation and determination of the exact breakpoints, whole exome sequencing followed by Sanger sequencing were used. Familial samples from both affected and nonaffected first-degree relatives were then analyzed for each proband.
RESULTS: A heterozygous whole-exon deletion spanning 4763 bp affecting the entire exon 1 of GCK was detected in two apparently unrelated patients with clinical features of MODY. This deletion showed segregation concordance across generations in affected and nonaffected family members.
CONCLUSIONS: Our findings confirm the utility of applying the CNV caller tool to screen for CNVs in GCK from NGS data. In so doing, we identified a deletion of exon 1 of GCK as likely causal for MODY. Our data indicate that incorporating CNV analysis routinely when assessing for MODY via targeted NGS may increase diagnostic yield and reduce false negative genetic testing rates.
Copyright © 2019 Endocrine Society.

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Year:  2019        PMID: 30912798      PMCID: PMC6594302          DOI: 10.1210/jc.2018-02574

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  37 in total

Review 1.  Molecular mechanisms and clinical pathophysiology of maturity-onset diabetes of the young.

Authors:  S S Fajans; G I Bell; K S Polonsky
Journal:  N Engl J Med       Date:  2001-09-27       Impact factor: 91.245

Review 2.  Maturity-onset diabetes of the young: from clinical description to molecular genetic characterization.

Authors:  K Owen; A T Hattersley
Journal:  Best Pract Res Clin Endocrinol Metab       Date:  2001-09       Impact factor: 4.690

Review 3.  Genetic and clinical characteristics of maturity-onset diabetes of the young.

Authors:  Fernando M A Giuffrida; André F Reis
Journal:  Diabetes Obes Metab       Date:  2005-07       Impact factor: 6.577

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Journal:  Diabetes       Date:  2005-11       Impact factor: 9.461

Review 5.  Molecular and genetic bases for maturity onset diabetes of youth.

Authors:  W E Winter; J H Silverstein
Journal:  Curr Opin Pediatr       Date:  2000-08       Impact factor: 2.856

Review 6.  Maturity-onset diabetes of the young (MODY): genetic and clinical characteristics.

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Journal:  Horm Res       Date:  2002

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8.  GCK and HNF1A mutations in Canadian families with maturity onset diabetes of the young (MODY).

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9.  Spectrum of HNF1A and GCK mutations in Canadian families with maturity-onset diabetes of the young (MODY).

Authors:  James L McKinney; Henian Cao; John F Robinson; Daniel L Metzger; Elizabeth Cummings; D Christie Riddell; Susan R Sanderson; Daniele Pacaud; Josephine Ho; Robert A Hegele
Journal:  Clin Invest Med       Date:  2004-06       Impact factor: 0.825

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Authors:  A Stride; M Vaxillaire; T Tuomi; F Barbetti; P R Njølstad; T Hansen; A Costa; I Conget; O Pedersen; O Søvik; R Lorini; L Groop; P Froguel; A T Hattersley
Journal:  Diabetologia       Date:  2002-03       Impact factor: 10.122

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Journal:  J Endocrinol Invest       Date:  2021-11-06       Impact factor: 4.256

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3.  22q11.2 microdeletion and increased risk for type 2 diabetes.

Authors:  Lily Van; Tracy Heung; Sarah L Malecki; Christian Fenn; Andrea Tyrer; Marcos Sanches; Eva W C Chow; Erik Boot; Maria Corral; Satya Dash; Susan R George; Anne S Bassett
Journal:  EClinicalMedicine       Date:  2020-09-10

4.  Six years' experience with LipidSeq: clinical and research learnings from a hybrid, targeted sequencing panel for dyslipidemias.

Authors:  Jacqueline S Dron; Jian Wang; Adam D McIntyre; Michael A Iacocca; John F Robinson; Matthew R Ban; Henian Cao; Robert A Hegele
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