Literature DB >> 27913849

Targeted next-generation sequencing reveals MODY in up to 6.5% of antibody-negative diabetes cases listed in the Norwegian Childhood Diabetes Registry.

Bente B Johansson1,2, Henrik U Irgens1,3, Janne Molnes1,2, Paweł Sztromwasser2,4,5, Ingvild Aukrust1,2, Petur B Juliusson3,5, Oddmund Søvik1,3, Shawn Levy6, Torild Skrivarhaug7, Geir Joner7,8, Anders Molven1,9,10, Stefan Johansson1,2, Pål R Njølstad11,12.   

Abstract

AIMS/HYPOTHESIS: MODY can be wrongly diagnosed as type 1 diabetes in children. We aimed to find the prevalence of MODY in a nationwide population-based registry of childhood diabetes.
METHODS: Using next-generation sequencing, we screened the HNF1A, HNF4A, HNF1B, GCK and INS genes in all 469 children (12.1%) negative for both GAD and IA-2 autoantibodies and 469 antibody-positive matched controls selected from the Norwegian Childhood Diabetes Registry (3882 children). Variants were classified using clinical diagnostic criteria for pathogenicity ranging from class 1 (neutral) to class 5 (pathogenic).
RESULTS: We identified 58 rare exonic and splice variants in cases and controls. Among antibody-negative patients, 6.5% had genetic variants of classes 3-5 (vs 2.4% in controls; p = 0.002). For the stricter classification (classes 4 and 5), the corresponding number was 4.1% (vs 0.2% in controls; p = 1.6 × 10-5). HNF1A showed the strongest enrichment of class 3-5 variants, with 3.9% among antibody-negative patients (vs 0.4% in controls; p = 0.0002). Antibody-negative carriers of variants in class 3 had a similar phenotype to those carrying variants in classes 4 and 5. CONCLUSIONS/
INTERPRETATION: This is the first study screening for MODY in all antibody-negative children in a nationwide population-based registry. Our results suggest that the prevalence of MODY in antibody-negative childhood diabetes may reach 6.5%. One-third of these MODY cases had not been recognised by clinicians. Since a precise diagnosis is important for treatment and genetic counselling, molecular screening of all antibody-negative children should be considered in routine diagnostics.

Entities:  

Keywords:  Antibody-negative; Childhood-onset diabetes; Genetic screening; MODY; Monogenic diabetes; Norwegian Childhood Diabetes Registry; Prevalence; Sulfonylurea

Mesh:

Substances:

Year:  2016        PMID: 27913849     DOI: 10.1007/s00125-016-4167-1

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  48 in total

1.  Mutations in the hepatocyte nuclear factor-1alpha gene in MODY and early-onset NIDDM: evidence for a mutational hotspot in exon 4.

Authors:  P J Kaisaki; S Menzel; T Lindner; N Oda; I Rjasanowski; J Sahm; G Meincke; J Schulze; H Schmechel; C Petzold; H M Ledermann; G Sachse; V V Boriraj; R Menzel; W Kerner; R C Turner; K Yamagata; G I Bell
Journal:  Diabetes       Date:  1997-03       Impact factor: 9.461

2.  Growth references for 0-19 year-old Norwegian children for length/height, weight, body mass index and head circumference.

Authors:  Pétur B Júlíusson; Mathieu Roelants; Eirin Nordal; Liv Furevik; Geir Egil Eide; Dag Moster; Roland Hauspie; Robert Bjerknes
Journal:  Ann Hum Biol       Date:  2013-02-18       Impact factor: 1.533

3.  Prevalence of monogenic diabetes in the population-based Norwegian Childhood Diabetes Registry.

Authors:  H U Irgens; J Molnes; B B Johansson; M Ringdal; T Skrivarhaug; D E Undlien; O Søvik; G Joner; A Molven; P R Njølstad
Journal:  Diabetologia       Date:  2013-04-27       Impact factor: 10.122

Review 4.  Role of molecular genetics in transforming diagnosis of diabetes mellitus.

Authors:  Anders Molven; Pål R Njølstad
Journal:  Expert Rev Mol Diagn       Date:  2011-04       Impact factor: 5.225

5.  Islet autoantibodies can discriminate maturity-onset diabetes of the young (MODY) from Type 1 diabetes.

Authors:  T J McDonald; K Colclough; R Brown; B Shields; M Shepherd; P Bingley; A Williams; A T Hattersley; Sian Ellard
Journal:  Diabet Med       Date:  2011-09       Impact factor: 4.359

6.  A large multi-centre European study validates high-sensitivity C-reactive protein (hsCRP) as a clinical biomarker for the diagnosis of diabetes subtypes.

Authors:  G Thanabalasingham; N Shah; M Vaxillaire; T Hansen; T Tuomi; D Gašperíková; M Szopa; E Tjora; T J James; P Kokko; F Loiseleur; E Andersson; S Gaget; B Isomaa; N Nowak; H Raeder; J Stanik; P R Njolstad; M T Malecki; I Klimes; L Groop; O Pedersen; P Froguel; M I McCarthy; A L Gloyn; K R Owen
Journal:  Diabetologia       Date:  2011-08-04       Impact factor: 10.122

7.  Systematic assessment of etiology in adults with a clinical diagnosis of young-onset type 2 diabetes is a successful strategy for identifying maturity-onset diabetes of the young.

Authors:  Gaya Thanabalasingham; Aparna Pal; Mary P Selwood; Christina Dudley; Karen Fisher; Polly J Bingley; Sian Ellard; Andrew J Farmer; Mark I McCarthy; Katharine R Owen
Journal:  Diabetes Care       Date:  2012-03-19       Impact factor: 19.112

8.  Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results.

Authors:  Sharon E Plon; Diana M Eccles; Douglas Easton; William D Foulkes; Maurizio Genuardi; Marc S Greenblatt; Frans B L Hogervorst; Nicoline Hoogerbrugge; Amanda B Spurdle; Sean V Tavtigian
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

9.  Home urine C-peptide creatinine ratio (UCPCR) testing can identify type 2 and MODY in pediatric diabetes.

Authors:  Rachel E J Besser; Beverley M Shields; Suzanne E Hammersley; Kevin Colclough; Timothy J McDonald; Zoe Gray; James J N Heywood; Timothy G Barrett; Andrew T Hattersley
Journal:  Pediatr Diabetes       Date:  2013-01-04       Impact factor: 4.866

10.  An integrated map of genetic variation from 1,092 human genomes.

Authors:  Goncalo R Abecasis; Adam Auton; Lisa D Brooks; Mark A DePristo; Richard M Durbin; Robert E Handsaker; Hyun Min Kang; Gabor T Marth; Gil A McVean
Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

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Authors:  Fabrizio Barbetti; Simeon I Taylor
Journal:  J Clin Invest       Date:  2019-07-02       Impact factor: 14.808

2.  Towards a systematic nationwide screening strategy for MODY.

Authors:  Beverley Shields; Kevin Colclough
Journal:  Diabetologia       Date:  2017-01-29       Impact factor: 10.122

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

Authors:  Amanda J Berberich; Céline Huot; Henian Cao; Adam D McIntyre; John F Robinson; Jian Wang; Robert A Hegele
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4.  GCK-MODY in the US Monogenic Diabetes Registry: Description of 27 unpublished variants.

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5.  Population-Based Assessment of a Biomarker-Based Screening Pathway to Aid Diagnosis of Monogenic Diabetes in Young-Onset Patients.

Authors:  Beverley M Shields; Maggie Shepherd; Michelle Hudson; Timothy J McDonald; Kevin Colclough; Jaime Peters; Bridget Knight; Chris Hyde; Sian Ellard; Ewan R Pearson; Andrew T Hattersley
Journal:  Diabetes Care       Date:  2017-08       Impact factor: 19.112

6.  EARLY ONSET OF MODY5 DUE TO HAPLOINSUFFICIENCY OF HNF1B.

Authors:  Carmen Bustamante; Janine Sanchez; Tossaporn Seeherunvong; Supamit Ukarapong
Journal:  AACE Clin Case Rep       Date:  2020-06-23

7.  Beta cell function and insulin sensitivity in obese youth with maturity onset diabetes of youth mutations vs type 2 diabetes in TODAY: Longitudinal observations and glycemic failure.

Authors:  Silva Arslanian; Laure El Ghormli; Morey H Haymond; Christine L Chan; Steven D Chernausek; Rachelle G Gandica; Rose Gubitosi-Klug; Lynne L Levitsky; Maggie Siska; Steven M Willi
Journal:  Pediatr Diabetes       Date:  2020-03-03       Impact factor: 4.866

Review 8.  Overview of Atypical Diabetes.

Authors:  Jaclyn Tamaroff; Marissa Kilberg; Sara E Pinney; Shana McCormack
Journal:  Endocrinol Metab Clin North Am       Date:  2020-10-14       Impact factor: 4.741

Review 9.  How Recent Advances in Genomics Improve Precision Diagnosis and Personalized Care of Maturity-Onset Diabetes of the Young.

Authors:  Martine Vaxillaire; Philippe Froguel; Amélie Bonnefond
Journal:  Curr Diab Rep       Date:  2019-08-05       Impact factor: 4.810

10.  HNF1B nephropathy has a slow-progressive phenotype in childhood-with the exception of very early onset cases: results of the German Multicenter HNF1B Childhood Registry.

Authors:  Christine Okorn; Anne Goertz; Udo Vester; Bodo B Beck; Carsten Bergmann; Sandra Habbig; Jens König; Martin Konrad; Dominik Müller; Jun Oh; Nadina Ortiz-Brüchle; Ludwig Patzer; Raphael Schild; Tomas Seeman; Hagen Staude; Julia Thumfart; Burkhard Tönshoff; Ulrike Walden; Lutz Weber; Marcin Zaniew; Hildegard Zappel; Peter F Hoyer; Stefanie Weber
Journal:  Pediatr Nephrol       Date:  2019-01-21       Impact factor: 3.714

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