Monogenic Diabetes Misdiagnosed as Type 1
ADDAM
Accurate Diagnosis of Diabetes for Appropriate Management
2 other identifiers
observational
5,000
1 country
1
Brief Summary
The study has two aims:
- 1.To (1a) determine the frequency of monogenic diabetes misdiagnosed as type 1 diabetes (T1D) and (2) to define an algorithm for case selection.
- 2.To discover novel genes whose mutations cause monogenic diabetes misdiagnosed as T1D.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Sep 2019
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 11, 2019
CompletedFirst Posted
Study publicly available on registry
June 17, 2019
CompletedStudy Start
First participant enrolled
September 24, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2025
CompletedDecember 10, 2024
December 1, 2024
6.3 years
June 11, 2019
December 6, 2024
Conditions
Outcome Measures
Primary Outcomes (2)
Proportion of monogenic diabetes among patients diagnosed as type 1 diabetes.
The exomes of all patients negative for four T1D autoantibodies will be sequenced and pathogenic variants in genes known to cause monogenic diabetes will be called and annotated. The frequency of genes carrying such variants among these patients will be compared to control exomes from public databases.
6 years
Proportion of patients carrying mutations in previously unstudied genes that meet statistical criteria of pathogenicity for monogenic diabetes.
Exomes not found to carry a mutation (per outcome 1) will be analyzed to discover pathogenic variants in novel genes. Genes mutated in more than one unrelated probands will be statistically evaluated to see if variants in these gene occur more frequently than in control exomes. The number of probands that is needed to fulfill this criterion will depend on the gene's tolerance to protein-altering mutations.
7 years
Secondary Outcomes (1)
Risk-prediction score for monogenic diabetes mutation in antibody negative T1D patients
5 years
Study Arms (2)
Antibody-negative
Patient has been found negative for at least three T1D antibodies. The investigators will proceed with whole exome sequencing
Antibody-positive
Patient has been found to be positive for at least one T1D autoantibody. No further studies will be performed as part of the main study.
Interventions
No further intervention planned for either group as part of the current study.
Eligibility Criteria
Cases diagnosed as type 1 diabetes or undetermined type.
You may qualify if:
- Diagnosis of diabetes under the age of 25 as either type 1 or undetermined type.
You may not qualify if:
- Existing T1D autoantibody testing with a positive result
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
The Montreal Children's Hospital
Montreal, Quebec, H4A 3J1, Canada
Biospecimen
serum and purified DNA.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Senior investigator
Study Record Dates
First Submitted
June 11, 2019
First Posted
June 17, 2019
Study Start
September 24, 2019
Primary Completion
December 31, 2025
Study Completion
December 31, 2025
Last Updated
December 10, 2024
Record last verified: 2024-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ANALYTIC CODE
- Time Frame
- 15 years
- Access Criteria
- Approval, by the sponsor, of a research plan that proposes to use the data to promote diabetes research
Anonymized exome data will be deposited in publicly available databases.15