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
- 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
- FDA Clears AI Digital Pathology Tool for Breast Cancer Risk Stratification
- New AI Tool Reveals Hidden Genetic Signals in Routine H&E Slides
- AI System Analyzes Routine Pathology Slides to Predict Cancer Outcomes
Channels
Clinical Chemistry
view channel
Maternal Blood Biomarkers Identify Risk of Preterm and Early-Term Birth
Preterm and early-term births can lead to lasting complications because vital organs continue to mature during the final weeks of pregnancy. Babies born too soon face increased risks of breathing difficulties,... Read more
Blood-Based Alzheimer’s Testing Platform Offers Rapid Results
Accurate identification of Alzheimer’s disease pathology often relies on cerebrospinal fluid analysis or positron emission tomography, which can be invasive, costly, and not widely accessible.... Read more
Simple Oral Swab Monitors Persistent Inflammation in Primary Ciliary Dyskinesia
Primary ciliary dyskinesia is a rare lung disease that affects about one in 7,500 to 10,000 live births worldwide. Symptoms can begin in the newborn period and progress to recurrent respiratory infections... Read more
Simple Blood-Based Cholesterol Efflux Assay Identifies High-Risk Coronary Plaque Features
Unstable coronary plaques are difficult to identify before they trigger acute cardiovascular events. Standard high-density lipoprotein (HDL) measurements do not always capture how well HDL particles function... 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
Lab-on-a-Chip Approach Advances Immune–Cancer Cell Interaction Analysis
Conventional cytotoxicity assays often average responses across thousands of cells, obscuring how individual immune cells engage and kill tumor cells. For immunotherapy evaluation, the precise sequence... Read more
Antibody Profiles Provide Clues to Long COVID Severity and Symptoms
Persistent symptoms after acute COVID-19 affect millions of people, causing fatigue, respiratory issues, and cognitive deficits that can be difficult to quantify with standard tests. Clinical teams lack... Read moreMicrobiology
view channel
Study Reveals Widespread Community Spread of Drug-Resistant Klebsiella
Multidrug-resistant Klebsiella pneumoniae is an escalating community health concern, driving recurrent urinary tract infections in older adults and complicating first-line antibiotic therapy.... Read more
Stronger Laboratory Services Support Timely Melioidosis Diagnosis Amid Global Spread
Melioidosis, a potentially fatal infection caused by Burkholderia pseudomallei, remains difficult to recognize because its symptoms can mimic tuberculosis and other illnesses. The disease is considered... Read more
Extracellular Vesicle Biomarker May Enable Noninvasive Monitoring of H. pylori
Helicobacter pylori infects an estimated 43.9% of the global population, affecting approximately 4.4 billion people worldwide. In many regions, including Africa, Eastern Europe, and Southeast Asia, prevalence... Read more
Rapid Molecular Screening Aims to Accelerate Hospital Infection Control for CPE
Drug-resistant infections remain a critical patient-safety threat in hospitals, with carbapenemase-producing Enterobacterales (CPE) among the most urgent concerns. In England, reports of acquired carbapenemase... Read morePathology
view channel
Stain-Free Imaging Platform Matches Standard Cancer Pathology
Histopathology underpins cancer diagnosis, but turnaround times and inter-laboratory variability can limit timely, consistent interpretation. Conventional staining relies on chemical dyes and multiple... Read more
New Companion Diagnostic Expands Precision Medicine in Prostate Cancer
Prostate cancer is a leading cancer diagnosis in men and becomes particularly aggressive when it presents as metastatic, hormone-sensitive disease. Tumors with loss of phosphatase and tensin homolog (PTEN)... Read more
Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer
Accurate assessment of human epidermal growth factor receptor 2 (HER2) is critical for breast cancer diagnosis and treatment selection, yet scoring variability and infrastructure requirements can complicate... Read moreTechnology
view channel
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 more
Agentic AI Platform Supports Genomic Decision-Making in Oncology
Oncology care teams increasingly face the challenge of managing complex molecular diagnostics, evolving treatment options, and extensive electronic health record documentation. Translating multimodal data... Read moreIndustry
view channel
QIAGEN Enhances QIAcuity Platform with Gene Expression and Multiplexing Tools
QIAGEN (Venlo, Netherlands) has introduced additions to its QIAcuity dPCR ecosystem that focus on gene expression, expanded assay content, and workflow standardization for life sciences and biopharma users.... Read more








