Next-Generation Sequencing Identifies Monogenic Diabetes
|
By LabMedica International staff writers Posted on 23 Jul 2019 |

Image: The MiSeq System: access focused applications such as targeted resequencing, metagenomics, small genome sequencing, targeted gene expression profiling (Photo courtesy of Illumina).
Monogenic diabetes is seen mainly in maturity onset diabetes of the young (MODY), and accounts for 1%–2% of all diabetes cases. In adults, monogenic diabetes is difficult to distinguish from common diabetes causes.
The diagnosis of monogenic diabetes is an example of precision medicine because it conveys specificities as regards the severity and the course of hyperglycemia, the risk of diabetes complications, the need for diabetes treatment and its modalities, the presence of associated features, and the management of affected women during pregnancy.
Medical Geneticists at the Pitié-Salpêtrière Hospital (Paris, France) and their colleagues included in a cross-sectional study 1,564 probands who were recruited from 116 Endocrinology departments throughout France. 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/m2 at diagnosis in the proband or in at least two relatives with diabetes, and a family history of diabetes in ≥ 2 generations.
Genetic testing was carried out in two steps. The first one was the targeted Next-Generation Sequencing (NGS) based on a multiplex polymerase chain reaction assay, the SureMODY-MASTR assay. The coding regions ± 30 bp of seven genes (GCK, HNF1A, HNF4A, HNF1B, ABCC8, KCNJ11, and INS) and the minimal promoter region of HNF1A, HNF4A, and INS were amplified, and multiplex libraries were subsequently pooled and run on a MiSeq instrument.
The scientists reported that 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/m2 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 monogenic diabetes, 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. Monogenic diabetes was 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.
The authors concluded that variants of HNF1B and the K-ATP channel genes were more frequently involved in monogenic diabetes than previously reported. Phenotype overlapping makes the diagnosis of monogenic diabetes difficult in adolescents/adults and underlies the benefit of NGS in clinically selected patients. The study was published on July 11, 2019, in the journal BMC Medicine.
Related Links:
Pitié-Salpêtrière Hospital
The diagnosis of monogenic diabetes is an example of precision medicine because it conveys specificities as regards the severity and the course of hyperglycemia, the risk of diabetes complications, the need for diabetes treatment and its modalities, the presence of associated features, and the management of affected women during pregnancy.
Medical Geneticists at the Pitié-Salpêtrière Hospital (Paris, France) and their colleagues included in a cross-sectional study 1,564 probands who were recruited from 116 Endocrinology departments throughout France. 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/m2 at diagnosis in the proband or in at least two relatives with diabetes, and a family history of diabetes in ≥ 2 generations.
Genetic testing was carried out in two steps. The first one was the targeted Next-Generation Sequencing (NGS) based on a multiplex polymerase chain reaction assay, the SureMODY-MASTR assay. The coding regions ± 30 bp of seven genes (GCK, HNF1A, HNF4A, HNF1B, ABCC8, KCNJ11, and INS) and the minimal promoter region of HNF1A, HNF4A, and INS were amplified, and multiplex libraries were subsequently pooled and run on a MiSeq instrument.
The scientists reported that 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/m2 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 monogenic diabetes, 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. Monogenic diabetes was 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.
The authors concluded that variants of HNF1B and the K-ATP channel genes were more frequently involved in monogenic diabetes than previously reported. Phenotype overlapping makes the diagnosis of monogenic diabetes difficult in adolescents/adults and underlies the benefit of NGS in clinically selected patients. The study was published on July 11, 2019, in the journal BMC Medicine.
Related Links:
Pitié-Salpêtrière Hospital
Latest Pathology News
- AI Pathology Tool Predicts Immunotherapy Response in Rare Cancers
- Uncertainty-Aware AI Tool Improves Digital Pathology for Cancer Subtyping
- Study Highlights Biomarker Testing Delays in Lung Cancer Care
- Stain-Free Imaging Platform Matches Standard Cancer Pathology
- New Companion Diagnostic Expands Precision Medicine in Prostate Cancer
- Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer
- AI Tool Speeds Brain Tumor Classification from Routine Histology Slides
- IHC Companion Diagnostic Standardizes Mismatch Repair Testing for Cancer Immunotherapy
- AI Pathology Tool Predicts Meningioma Recurrence from Routine Slides
- 3D Spatial Multi-Omics Maps Intra-Tumor Diversity in Colorectal Cancer
- Blood-Based Method Tracks Gene Activity in the Living Brain
- FDA Approval Expands Automated PD-L1 Testing Across Solid Tumors
- AI-Powered Atlas Maps Immune Structures Linked to Cancer Outcomes
- AI Tool Extracts Immune Signals from Biopsy to Inform Myeloma Therapy
- Rapid AI Tool Predicts Cancer Spatial Gene Expression from Pathology Images
- AI Pathology Test Receives FDA Breakthrough for Bladder Cancer Risk Stratification
Channels
Clinical Chemistry
view channel
FDA-Approved Test Identifies Low Risk of Large Esophageal Varices in Cirrhosis
Chronic liver disease contributes substantially to mortality, and clinicians routinely screen adults with compensated cirrhosis for varices to prevent bleeding. However, endoscopy is invasive and reso... Read more
Blood Protein Signature Diagnoses Pediatric IBD and Distinguishes Subtypes
Confirming pediatric inflammatory bowel disease (IBD) often requires imaging, endoscopy, and histopathology, prolonging time to diagnosis. Reliable, noninvasive blood tests remain an unmet need in routine... Read moreHematology
view channel
Next-Generation Hematology Platform Streamlines High-Complexity Lab Workflows
Sysmex America (Chicago, IL, USA) has introduced the next generation XR-Series, centered on the XR-10 Automated Hematology Module for high-complexity laboratories. The platform builds on the widely used... Read more
Blood Eosinophil Count May Predict Cancer Immunotherapy Response and Toxicity
Immune checkpoint inhibitors have improved outcomes across many cancers, yet only a subset of patients derive durable benefit and biomarkers to guide treatment remain limited. Eosinophils, best known for... Read moreImmunology
view channel
Anti-Lipid Antibody Biomarkers May Identify Early Lyme Disease and Persistent Symptoms
Lyme disease is often missed during its earliest and most treatable stage, while current serologic assays cannot distinguish active infection from prior exposure. Nearly half a million Americans are diagnosed... Read more
Emergency Department Opt-Out Testing Program Identifies Undiagnosed HIV
Undiagnosed HIV continues to drive avoidable morbidity and transmission, with many people identified only after substantial immune damage has occurred. In England, about one in 20 people living with HIV... Read more
Immune Biomarkers Could Identify Risk of Chronic Critical Illness on ICU Admission
Severe traumatic injury can trigger immune and organ dysfunction that complicates recovery in the intensive care unit. A subset of patients develop chronic critical illness, defined as dependence on intensive... Read moreMicrobiology
view channel
Rapid Gastrointestinal PCR Panels Deliver One-Hour Results
Acute infectious gastroenteritis remains a major cause of illness worldwide, especially in young children, older adults, and immunocompromised patients. Nonspecific symptoms such as diarrhea, vomiting,... Read more
H. pylori Screening Within Colorectal Program Aids Gastric Cancer Prevention
Health systems increasingly rely on economic evidence to guide cancer prevention strategies. For gastric cancer, selecting screening approaches that can integrate with existing programs is a key policy question.... Read more
Machine Learning Reveals Consistent Gut Microbiome Patterns in Colorectal Cancer
Colorectal cancer has been repeatedly linked to alterations in the gut microbiome, yet findings have often varied across small, heterogeneous studies. Reproducibility has been limited by differing sequencing... Read morePathology
view channel
AI Pathology Tool Predicts Immunotherapy Response in Rare Cancers
Immunotherapy has transformed care for select malignancies, yet predicting which patients with rare cancers are most likely to benefit remains challenging. Clinicians often have only limited biomarkers... Read more
Uncertainty-Aware AI Tool Improves Digital Pathology for Cancer Subtyping
Reliable histologic subtyping guides therapy selection in oncology, yet diagnostic workflows grow more complex as whole-slide imaging and artificial intelligence (AI) expand. A persistent obstacle to clinical... Read moreTechnology
view channel
National Rare Disease Registry Standardizes Genetic and Clinical Data for Coordinated Care
Rare diseases collectively impose a significant clinical burden despite their individual rarity, often involving multisystem presentations and prolonged diagnostic journeys. Limited specialist expertise... Read more
AI Platform Links Biomarker Results to Cancer Clinical Trials and Guidelines
Oncology teams must manage growing volumes of genomic data, rapidly evolving clinical trial options, and frequently updated care guidelines, all within tight clinic schedules. Translating complex tumor... Read moreIndustry
view channel
Eurobio Scientific Completes Acquisition of CareDx Lab Products Division
Eurobio Scientific has closed the acquisition of CareDx AB in Sweden and its fully owned subsidiaries in the United States and Australia that constitute CareDx’s Lab Products division. The business will... Read more
Blood-Based CRISPR Test for Tuberculosis Gains Regulatory Approval in Colombia
Colombia remains a high-priority setting for tuberculosis, with a growing need for diagnostics that complement existing testing strategies and improve access to earlier diagnosis. Solutions that function... Read more








