Cargando…

Next-generation sequencing identifies monogenic diabetes in 16% of patients with late adolescence/adult-onset diabetes selected on a clinical basis: a cross-sectional analysis

BACKGROUND: Monogenic diabetes (MgD) accounts for 1–2% of all diabetes cases. In adults, MgD is difficult to distinguish from common diabetes causes. We assessed the diagnosis rate and genetic spectrum of MgD using next-generation sequencing in patients with late adolescence/adult-onset diabetes ref...

Descripción completa

Detalles Bibliográficos
Autores principales: Donath, Xavier, Saint-Martin, Cécile, Dubois-Laforgue, Danièle, Rajasingham, Ramanan, Mifsud, François, Ciangura, Cécile, Timsit, José, Bellanné-Chantelot, Christine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6621990/
https://www.ncbi.nlm.nih.gov/pubmed/31291970
http://dx.doi.org/10.1186/s12916-019-1363-0
_version_ 1783434147396583424
author Donath, Xavier
Saint-Martin, Cécile
Dubois-Laforgue, Danièle
Rajasingham, Ramanan
Mifsud, François
Ciangura, Cécile
Timsit, José
Bellanné-Chantelot, Christine
author_facet Donath, Xavier
Saint-Martin, Cécile
Dubois-Laforgue, Danièle
Rajasingham, Ramanan
Mifsud, François
Ciangura, Cécile
Timsit, José
Bellanné-Chantelot, Christine
author_sort Donath, Xavier
collection PubMed
description BACKGROUND: Monogenic diabetes (MgD) accounts for 1–2% of all diabetes cases. In adults, MgD is difficult to distinguish from common diabetes causes. We assessed the diagnosis rate and genetic spectrum of MgD using next-generation sequencing in patients with late adolescence/adult-onset diabetes referred for a clinical suspicion of MgD. METHODS: This cross-sectional study was performed in 1564 probands recruited in 116 Endocrinology departments. Inclusion criteria were the absence of diabetes autoantibodies, and at least two of the three following criteria: an age ≤ 40 years and a body mass index (BMI) < 30 kg/m(2) at diagnosis in the proband or in at least two relatives with diabetes, and a family history of diabetes in ≥ 2 generations. Seven genes (GCK, HNF1A, HNF4A, HNF1B, ABCC8, KCNJ11, and INS) were analyzed. Variant pathogenicity was assessed using current guidelines. RESULTS: Pathogenic variants were identified in 254 patients (16.2%) and in 23.2% of EuroCaucasian patients. Using more stringent selection criteria (family history of diabetes in ≥ 3 generations, age at diabetes ≤ 40 years and BMI < 30 kg/m(2) in the proband, EuroCaucasian origin) increased the diagnosis rate to 43%, but with 70% of the identified cases being missed. GCK (44%), HNF1A (33%), and HNF4A (10%) accounted for the majority of the cases. HNF1B (6%), ABCC8/KCNJ11 (4.4%), and INS (2.8%) variants accounted for 13% of the cases. As compared to non-monogenic cases, a younger age, a lower BMI and the absence of diabetes symptoms at diagnosis, a EuroCaucasian origin, and a family history of diabetes in ≥ 3 generations were associated with MgD, but with wide phenotype overlaps between the two groups. In the total population, two clusters were identified, that mainly differed by the severity of diabetes at onset. MgDs were more prevalent in the milder phenotypic cluster. The phenotypes of the 59 patients (3.8%) with variants of uncertain significance were different from that of patients with pathogenic variants, but not from that of non-monogenic patients. CONCLUSION: Variants of HNF1B and the K-ATP channel genes were more frequently involved in MgD than previously reported. Phenotype overlapping makes the diagnosis of MgD difficult in adolescents/adults and underlies the benefit of NGS in clinically selected patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-019-1363-0) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6621990
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-66219902019-07-22 Next-generation sequencing identifies monogenic diabetes in 16% of patients with late adolescence/adult-onset diabetes selected on a clinical basis: a cross-sectional analysis Donath, Xavier Saint-Martin, Cécile Dubois-Laforgue, Danièle Rajasingham, Ramanan Mifsud, François Ciangura, Cécile Timsit, José Bellanné-Chantelot, Christine BMC Med Research Article BACKGROUND: Monogenic diabetes (MgD) accounts for 1–2% of all diabetes cases. In adults, MgD is difficult to distinguish from common diabetes causes. We assessed the diagnosis rate and genetic spectrum of MgD using next-generation sequencing in patients with late adolescence/adult-onset diabetes referred for a clinical suspicion of MgD. METHODS: This cross-sectional study was performed in 1564 probands recruited in 116 Endocrinology departments. Inclusion criteria were the absence of diabetes autoantibodies, and at least two of the three following criteria: an age ≤ 40 years and a body mass index (BMI) < 30 kg/m(2) at diagnosis in the proband or in at least two relatives with diabetes, and a family history of diabetes in ≥ 2 generations. Seven genes (GCK, HNF1A, HNF4A, HNF1B, ABCC8, KCNJ11, and INS) were analyzed. Variant pathogenicity was assessed using current guidelines. RESULTS: Pathogenic variants were identified in 254 patients (16.2%) and in 23.2% of EuroCaucasian patients. Using more stringent selection criteria (family history of diabetes in ≥ 3 generations, age at diabetes ≤ 40 years and BMI < 30 kg/m(2) in the proband, EuroCaucasian origin) increased the diagnosis rate to 43%, but with 70% of the identified cases being missed. GCK (44%), HNF1A (33%), and HNF4A (10%) accounted for the majority of the cases. HNF1B (6%), ABCC8/KCNJ11 (4.4%), and INS (2.8%) variants accounted for 13% of the cases. As compared to non-monogenic cases, a younger age, a lower BMI and the absence of diabetes symptoms at diagnosis, a EuroCaucasian origin, and a family history of diabetes in ≥ 3 generations were associated with MgD, but with wide phenotype overlaps between the two groups. In the total population, two clusters were identified, that mainly differed by the severity of diabetes at onset. MgDs were more prevalent in the milder phenotypic cluster. The phenotypes of the 59 patients (3.8%) with variants of uncertain significance were different from that of patients with pathogenic variants, but not from that of non-monogenic patients. CONCLUSION: Variants of HNF1B and the K-ATP channel genes were more frequently involved in MgD than previously reported. Phenotype overlapping makes the diagnosis of MgD difficult in adolescents/adults and underlies the benefit of NGS in clinically selected patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-019-1363-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-11 /pmc/articles/PMC6621990/ /pubmed/31291970 http://dx.doi.org/10.1186/s12916-019-1363-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Donath, Xavier
Saint-Martin, Cécile
Dubois-Laforgue, Danièle
Rajasingham, Ramanan
Mifsud, François
Ciangura, Cécile
Timsit, José
Bellanné-Chantelot, Christine
Next-generation sequencing identifies monogenic diabetes in 16% of patients with late adolescence/adult-onset diabetes selected on a clinical basis: a cross-sectional analysis
title Next-generation sequencing identifies monogenic diabetes in 16% of patients with late adolescence/adult-onset diabetes selected on a clinical basis: a cross-sectional analysis
title_full Next-generation sequencing identifies monogenic diabetes in 16% of patients with late adolescence/adult-onset diabetes selected on a clinical basis: a cross-sectional analysis
title_fullStr Next-generation sequencing identifies monogenic diabetes in 16% of patients with late adolescence/adult-onset diabetes selected on a clinical basis: a cross-sectional analysis
title_full_unstemmed Next-generation sequencing identifies monogenic diabetes in 16% of patients with late adolescence/adult-onset diabetes selected on a clinical basis: a cross-sectional analysis
title_short Next-generation sequencing identifies monogenic diabetes in 16% of patients with late adolescence/adult-onset diabetes selected on a clinical basis: a cross-sectional analysis
title_sort next-generation sequencing identifies monogenic diabetes in 16% of patients with late adolescence/adult-onset diabetes selected on a clinical basis: a cross-sectional analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6621990/
https://www.ncbi.nlm.nih.gov/pubmed/31291970
http://dx.doi.org/10.1186/s12916-019-1363-0
work_keys_str_mv AT donathxavier nextgenerationsequencingidentifiesmonogenicdiabetesin16ofpatientswithlateadolescenceadultonsetdiabetesselectedonaclinicalbasisacrosssectionalanalysis
AT saintmartincecile nextgenerationsequencingidentifiesmonogenicdiabetesin16ofpatientswithlateadolescenceadultonsetdiabetesselectedonaclinicalbasisacrosssectionalanalysis
AT duboislaforguedaniele nextgenerationsequencingidentifiesmonogenicdiabetesin16ofpatientswithlateadolescenceadultonsetdiabetesselectedonaclinicalbasisacrosssectionalanalysis
AT rajasinghamramanan nextgenerationsequencingidentifiesmonogenicdiabetesin16ofpatientswithlateadolescenceadultonsetdiabetesselectedonaclinicalbasisacrosssectionalanalysis
AT mifsudfrancois nextgenerationsequencingidentifiesmonogenicdiabetesin16ofpatientswithlateadolescenceadultonsetdiabetesselectedonaclinicalbasisacrosssectionalanalysis
AT cianguracecile nextgenerationsequencingidentifiesmonogenicdiabetesin16ofpatientswithlateadolescenceadultonsetdiabetesselectedonaclinicalbasisacrosssectionalanalysis
AT timsitjose nextgenerationsequencingidentifiesmonogenicdiabetesin16ofpatientswithlateadolescenceadultonsetdiabetesselectedonaclinicalbasisacrosssectionalanalysis
AT bellannechantelotchristine nextgenerationsequencingidentifiesmonogenicdiabetesin16ofpatientswithlateadolescenceadultonsetdiabetesselectedonaclinicalbasisacrosssectionalanalysis
AT nextgenerationsequencingidentifiesmonogenicdiabetesin16ofpatientswithlateadolescenceadultonsetdiabetesselectedonaclinicalbasisacrosssectionalanalysis