Role of High-Throughput Whole Genome Sequencing for the Diagnosis and Care of Atypical Diabetes (GLUCOGEN)

The main objective of the study is to assess the contribution of whole genome sequencing (WGS) coupled with a multidisciplinary conciliation meeting (MCM) on diagnosis of atypical forms of diabetes compared to an in-silico analysis of a panel of validated genes (ISApanel), corresponding to current practice, in a randomized trial.

Notably, the questions it aims to answer are:

  • The feasibility of the WGS coupled with MCM on diagnosis of atypical forms of diabetes,
  • The contribution of WGS coupled with MCM on number of genetic alterations likely causal of diabetes identified and with a modification in care and support of patients.

After inclusion and sampling for genotyping, patients will be followed for 5 years.

The target population is 1020 adults with atypical diabetes for whom it is possible to obtain a blood sample.

Study Overview

Status

Recruiting

Conditions

Detailed Description

The prevalence of diabetes is 7.4% in France among people aged 20 to 79 years in 2015. We must also consider "pre-diabetes" (subjects with glucose intolerance), whose prevalence is equivalent to that of diabetes (2012 estimate). The incidence of diabetes is exploding both for type 2 diabetes, which represents 85% of diabetes, and for type 1 diabetes, which represents 10% of cases and starts one out of two times before the age of 20. Diabetes typing is essential to guide therapeutic choices, particularly the use of insulin. This typing is based on the pathophysiology of the disease, distinguishing insulinopenia from autoimmune causes in type 1 diabetes, monogenic diabetes, secondary or atypical diabetes and type 2 diabetes, where insulinopenia and insulin resistance coexist. Thus, while a formal biological diagnosis is possible for some forms of atypical diabetes and for type 1 diabetes, no biological parameter is currently available for type 2 diabetes, which remains a diagnosis of exclusion. As a result, diabetes represents a source of diagnostic and therapeutic erraticism, amplified by the clinical heterogeneity of type 2 diabetes, which is obvious and underestimated, and by a clinical phenotyping of patients that is often defective. The economic consequences are important because the health costs are very different depending on whether or not patients are treated with insulin. Type 1 and type 2 diabetes are examples of chronic, non-transmissible, multigenic, multifactorial diseases. However, less than 10% of the heritability of type 2 diabetes is currently explained by the associated genetic variants. And although genetic tests exist to diagnose certain monogenic diabetes, this diagnosis is made in less than 20% of cases, mainly in the presence of an atypical clinical presentation of diabetes. Moreover, there is no reason to rule out the hypothesis of paucigenic forms, at the interface of monogenic diabetes and multigenic forms as usually envisaged, as has been observed in chronic pancreatitis, which is also accompanied by diabetes.

The study will be conducted according to a randomized trial design comparing two diagnostic strategies defined as follows:

  • Control strategy: in silico analysis of a panel of validated genes (ISApanel - Diabetome 1). Patients recruited along the control procedure will stay in their group using current genetic diagnosis practices and standard of care that may differ from one center to another.
  • Intervention strategy: whole genome sequencing coupled with multidisciplinary conciliation meeting.

We plan to randomize one patient in the control group for two in the intervention group.

The main objective of the study is to assess the contribution of whole genome sequencing (WGS) coupled with a multidisciplinary conciliation meeting (MCM) on diagnosis of atypical forms of diabetes compared to an in-silico analysis of a panel of validated genes (ISApanel), corresponding to current practice.

The target population is 1020 adults with atypical diabetes for whom it is possible to obtain a blood sample.

Study Type

Interventional

Enrollment (Estimated)

1020

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Amiens, France
        • Recruiting
        • University Hospital
        • Contact:
        • Principal Investigator:
          • Abdallah AL SALAMEH
      • Angers, France
        • Recruiting
        • University Hospital
        • Principal Investigator:
          • Ingrid ALLIX
        • Contact:
      • Besançon, France
        • Recruiting
        • University Hospital Jean Minjoz
        • Principal Investigator:
          • Sophie BOROT
        • Contact:
      • Bordeaux, France
        • Recruiting
        • University Hospital Haut Lévêque
        • Contact:
        • Principal Investigator:
          • Vincent RIGALLEAU
      • Brest, France
        • Recruiting
        • University Hospital Cavale Blanche
        • Principal Investigator:
          • Philippe THUILLIER
        • Contact:
      • Corbeil-Essonnes, France
        • Recruiting
        • Centre hospitalier Sud Francilien
        • Contact:
        • Principal Investigator:
          • Coralie AMADOU
      • Dijon, France
        • Recruiting
        • University Hospital Bocage
        • Principal Investigator:
          • Bruno VERGES
        • Contact:
      • Grenoble, France
        • Recruiting
        • University Hospital Michallon
        • Principal Investigator:
          • Sandrine LABLANCHE
        • Contact:
      • Le Kremlin-Bicêtre, France
        • Not yet recruiting
        • Assistance Publique Hôpitaux de Paris, Bicêtre Hospital
        • Principal Investigator:
          • Jacques YOUNG
        • Contact:
      • Lyon, France
        • Recruiting
        • University Hospital Louis Pradel
        • Principal Investigator:
          • Sybil CHARRIERE
        • Contact:
      • Lyon, France
        • Recruiting
        • University Hospital Sud
        • Principal Investigator:
          • Emmanuel DISSE
        • Contact:
      • Marseille, France
        • Recruiting
        • University Hospital Conception
        • Principal Investigator:
          • Patrice DARMON
        • Contact:
      • Montpellier, France
        • Recruiting
        • University Hospital Lapeyronie
        • Principal Investigator:
          • Ariane SULTAN
        • Contact:
      • Nancy, France
        • Not yet recruiting
        • University Hospital
        • Principal Investigator:
          • Bruno GUERCI
        • Contact:
      • Nantes, France
        • Recruiting
        • University Hospital Laennec
        • Principal Investigator:
          • Samy HADJADJ
        • Contact:
      • Nice, France
        • Not yet recruiting
        • University Hospital L'Archet
        • Principal Investigator:
          • Nicolas CHEVALIER
        • Contact:
      • Paris, France
        • Recruiting
        • Assistance Publique Hôpitaux de Paris, Lariboisière Hospital
        • Principal Investigator:
          • Jean-François GAUTIER
        • Contact:
      • Paris, France
        • Recruiting
        • Assistance Publique Hôpitaux de Paris, Bichat - Claude Bernard Hospital
        • Contact:
        • Principal Investigator:
          • Louis POTIER
      • Paris, France
        • Recruiting
        • Assistance Publique Hôpitaux de Paris, Cochin Hospital
        • Contact:
        • Principal Investigator:
          • Danièle DUBOIS-LAFORGUE
      • Paris, France
        • Recruiting
        • Assistance Publique Hôpitaux de Paris, Saint Antoine Hospital
        • Contact:
        • Principal Investigator:
          • Camille VATIER
      • Paris, France
        • Recruiting
        • Assistance Publique Hôpitaux de Paris- La Pitié Salpêtrière Hospital
        • Contact:
        • Principal Investigator:
          • Cécile CIANGURA
      • Poitiers, France
      • Rennes, France
        • Recruiting
        • Rennes University Hospital
        • Principal Investigator:
          • Agathe GUENEGO
        • Contact:
      • Rouen, France
        • Recruiting
        • University Hospital Bois Guillaume
        • Principal Investigator:
          • Gaetan PREVOST
        • Contact:
      • Strasbourg, France
        • Recruiting
        • Strasbourg University Hospital
        • Principal Investigator:
          • Laurent MEYER
        • Contact:
      • Toulouse, France
        • Recruiting
        • University Hospital Rangueil
        • Principal Investigator:
          • Pierre Gourdy
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Subjects ≥18 years with confirmed diabetes mellitus according to WHO criteria (World Health Organization: Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia: Report of a WHO/IDF Consultation. Geneva, World Health Org., 2006.)
  • Age ≤ 45 years at diabetes diagnosis
  • Body mass index ≤ 35 kg/m² at diabetes diagnosis
  • Negative results of specific antibodies determination (GAD65, IA2, ZnT8) until the inclusion visit
  • Presenting atypical diabetes defined by at least one of the following:
  • Exocrine pancreatic disease
  • Familial history: diabetes diagnosed in a parent, child or sibling
  • Notion of familial consanguinity
  • Syndromic clinical features (dysmorphy, developmental delay, mental retardation…) or unusual abnormalities/features that are not part of diabetic complications or co-morbidities;
  • Early occurrence of microvascular complications (≤ 5 years after diabetes diagnosis)
  • Major insulinopenia at diagnosis (C peptide < 0.2 nmol/L and/or documented ketosis)
  • Patient who conserved endogenous insulin secretion (positive C peptide value) but a need for insulin therapy initiation during the first year following diagnosis due to therapeutic failure of well conducted therapeutic intensification
  • Stated willingness to comply with all study procedures and availability for the duration of the study
  • Patient with a social security number in compliance with the French law (dispositions relatives aux recherches impliquant la personne humaine prévues aux articles L 1121-1 et suivants du Code de la Santé Publique)
  • Signed and dated informed consent form

Exclusion Criteria:

  • Pregnant or breastfeeding woman,
  • Any contraindication to the study exams including known allergies or contraindication to contrasts for the scan
  • Patient with known monogenic diabetes (defined as identification of class 4 and 5 variants according to ACMG)
  • First or second-degree relatives with monogenic diabetes established by molecular genetics (class 4 and 5 variants according to ACMG)
  • Patient with known secondary diabetes (i.e. endocrine disorders such as Cushing syndrome, pancreatectomy, drug-induced diabetes)
  • Patient who had a bone marrow transplant
  • Any condition which in the Investigator's opinion makes it undesirable for the subject to participate in the trial or which would jeopardize compliance with the protocol,
  • Individuals under legal protection (sauvegarde de justice).

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: control procedure
In-silico analysis of a panel of validated genes (ISApanel). Patients recruited along control procedure will stay in their arm using current genetic diagnosis practices and standard of care that may differ from one center to another
Experimental: intervention procedure
WGS coupled with MCM
Whole genome will be screened and analysis will focus on pathogenic and likely pathogenic variants. The list of variants of interest will be recorded until examination and discussion during the MCM. MCM will edit a final synthesis concerning the pathogenicity of identified variants.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of patients with one or several genetic alterations likely causal of diabetes
Time Frame: At 6 months in control group and 12 months in interventional group
Number of patients in each group with one or several genetic alterations likely causal of diabetes
At 6 months in control group and 12 months in interventional group

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of patients with an impact on treatment modification
Time Frame: 5 years
Number of patients in each group with an impact on treatment modification including discontinuation and reason of this modification
5 years
Number of genetic alterations likely causal of diabetes
Time Frame: At 6 months in control group and 12 months in interventional group
Number of genetic alterations likely causal of diabetes (classified as class 4 or 5 variants)
At 6 months in control group and 12 months in interventional group
Feasibility of the whole genome sequencing (WGS) coupled with multidisciplinary conciliation meeting (MCM) on diagnosis of atypical forms of diabetes: time to access to the genetic data
Time Frame: At 6 months in control group and 12 months in interventional group
time between blood sampling and availability of genetic data by GLUCOGEN laboratories
At 6 months in control group and 12 months in interventional group
Feasibility of the WGS coupled with MCM on diagnosis of atypical forms of diabetes: time between blood sampling and MCM
Time Frame: At 6 months in control group and 12 months in interventional group
time between blood sampling and MCM
At 6 months in control group and 12 months in interventional group
Feasibility of the WGS coupled with MCM on diagnosis of atypical forms of diabetes: time between blood sampling and access to WGS report
Time Frame: At 6 months in control group and 12 months in interventional group
time between blood sampling and access to WGS report produced by GLUCOGEN laboratory
At 6 months in control group and 12 months in interventional group
Feasibility of the WGS coupled with MCM on diagnosis of atypical forms of diabetes: time between blood sampling and date of the WGS result visit
Time Frame: 5 years
time between blood sampling and date of the WGS result visit
5 years
Genotype-Insulin secretion phenotype association
Time Frame: At 6 months in control group and 12 months in interventional group
Genotype-phenotype associations corresponding to insulin secretion
At 6 months in control group and 12 months in interventional group
Genotype-Insulin sensitivity phenotype association
Time Frame: At 6 months in control group and 12 months in interventional group

Genotype-phenotype associations corresponding to insulin sensitivity

• Body composition

At 6 months in control group and 12 months in interventional group
Genotype-body composition phenotype association
Time Frame: At 6 months in control group and 12 months in interventional group
Genotype-phenotype associations corresponding to body composition
At 6 months in control group and 12 months in interventional group
Glycemic control without insulin treatment
Time Frame: 5 years
Percentage of patients with glycated hemoglobin (HbA1c) target below 7% without insulin treatment at 2, 3, 4 and 5 years
5 years
Glycemic control without severe hypoglycemia
Time Frame: 5 years
Percentage of patients with glycated hemoglobin (HbA1c) target below 7% without severe hypoglycemia in the last 6 months and with a change in body mass index < 1 kg/m² in the last 6 months at 2, 3, 4 and 5 years
5 years
Number of long-term micro and macro vascular complications associated with diabetes and time to occurrence of the first complication
Time Frame: 5 years

Number of long-term micro and macro vascular complications associated with diabetes and time to occurrence of the first complication:

  • Retinopathy
  • Nephropathy
  • Neuropathy
  • Cardiovascular disease
  • Liver disease
5 years
Patient-Reported Outcomes (PROs), evaluated with SF36 questionnaire
Time Frame: 5 years
SF36 questionnaire at baseline, every 6 months during the first 2 years, then every year until 5 years.
5 years
Patient-Reported Outcomes (PROs), evaluated with Euroquol Dimension (EQ-5D-5L) questionnaire
Time Frame: 5 years

EQ-5D-5L questionnaire at baseline, every 6 months during the first 2 years, then every year until 5 years.

• ADDQOL questionnaire

5 years
Patient-Reported Outcomes (PROs), evaluated with Audit of Diabetes Dependent Quality of Life (ADDQOL) questionnaire
Time Frame: 5 years
ADDQOL questionnaire at baseline, every 6 months during the first 2 years, then every year until 5 years.
5 years
Number of participants agreeing to have access to secondary findings (SF)
Time Frame: At 6 months in control group and 12 months in interventional group
Number of participants agreeing to have access to secondary findings (SF)
At 6 months in control group and 12 months in interventional group
Number and type of SFs (class 4 or 5 variant(s)) identified in participants that specifically consent to have access to SF
Time Frame: At 6 months in control group and 12 months in interventional group
Number and type of SFs (class 4 or 5 variant(s)) identified in participants that specifically consent to have access to SF
At 6 months in control group and 12 months in interventional group
Percentage of SFs in the studied population
Time Frame: At 6 months in control group and 12 months in interventional group
Percentage of SFs in the studied population
At 6 months in control group and 12 months in interventional group
Number and type of medical consequences following identification of SFs
Time Frame: 5 years
Number and type of medical consequences following identification of SFs
5 years
Direct costs associated with current diagnosis practices (ISApanel)
Time Frame: 5 years
Direct costs associated with current diagnosis practices (ISApanel)
5 years
Direct costs associated with WGS coupled with MCM
Time Frame: 5 years
Direct costs associated with WGS coupled with MCM
5 years
Incremental cost-effectiveness ratio of WGS coupled with MCM compared to current diagnosis practices (ISApanel)
Time Frame: 5 years
Incremental cost-effectiveness ratio of WGS coupled with MCM compared to current diagnosis practices (ISApanel)
5 years
Incremental cost-utility ratio of WGS coupled with MCM compared to current diagnosis practices (ISApanel)
Time Frame: 5 years
Incremental cost-utility ratio of WGS coupled with MCM compared to current diagnosis practices (ISApanel)
5 years
Cost-benefit of WGS coupled with MCM compared to current diagnosis practices
Time Frame: 5 years
Cost-benefit of WGS coupled with MCM compared to current diagnosis practices (ISApanel) in terms of cost of wandering diagnosis and care procedure avoided
5 years
Psychosocial issues related to genetic testing for atypical diabetes
Time Frame: At 6 months in control group and 12 months in interventional group
Qualitative data related to patients' expectations regarding genetic testing related to atypical diabetes and needs to receive SF information.
At 6 months in control group and 12 months in interventional group
Psychosocial issues related to genetic testing for atypical diabetes
Time Frame: 5 years
  • Qualitative data (discourse - semi-structured individual interviews) related to patients experience following genetic testing results for atypical diabetes
  • Qualitative data (discourse - semi-structured individual interviews) related to patients' experience of the GLUCOGEN trial
5 years
Psychosocial issues related to patients' experience of the GLUCOGEN trial
Time Frame: 18 months
Quantitative data (questionnaire)
18 months
Psychosocial issues related to professional's experience of the GLUCOGEN research protocol
Time Frame: 12 months
Qualitative data (observation), including information regarding doctor-patient relationship and decision-making processes.
12 months

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number and characteristics of new genomic variations responsible for diabetes development
Time Frame: At 6 months in control group and 12 months in interventional group
Number and characteristics of new genomic variations responsible for diabetes development
At 6 months in control group and 12 months in interventional group
Number and characteristics of genomic variations and their association with defined phenotypes including integrated diagnostic biomarkers
Time Frame: At 6 months in control group and 12 months in interventional group
Number and characteristics of genomic variations and their association with defined phenotypes including integrated diagnostic biomarkers
At 6 months in control group and 12 months in interventional group
Number and characteristics of genomic variations known as drug targets
Time Frame: At 6 months in control group and 12 months in interventional group
Number and characteristics of genomic variations known as drug targets
At 6 months in control group and 12 months in interventional group
Number and characteristics of genomic variations of metabolism, transport or drug targets of diabetes and their consequences on treatment response
Time Frame: At 6 months in control group and 12 months in interventional group
Number and characteristics of genomic variations of metabolism, transport or drug targets of diabetes and their consequences on treatment response
At 6 months in control group and 12 months in interventional group
Number and characteristics of molecular targets in atypical diabetes
Time Frame: At 6 months in control group and 12 months in interventional group
Number and characteristics of molecular targets in atypical diabetes
At 6 months in control group and 12 months in interventional group

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 30, 2024

Primary Completion (Estimated)

November 1, 2031

Study Completion (Estimated)

November 1, 2034

Study Registration Dates

First Submitted

February 2, 2024

First Submitted That Met QC Criteria

August 21, 2024

First Posted (Actual)

August 26, 2024

Study Record Updates

Last Update Posted (Actual)

April 9, 2026

Last Update Submitted That Met QC Criteria

April 8, 2026

Last Verified

April 1, 2026

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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