CClinicalTrials.gg
Enrolling by invitationNCT05368220TRANSLATEUpdated May 17, 2022

Translating Genetic Knowledge Into Clinical Care in Non-Autoimmune Diabetes

An observational study in Diabetes Mellitus, Type 2 and Diabetes, Gestational, sponsored by University of Copenhagen. Enrolling by invitation at 5 sites in Denmark. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2022-05-17.

Sponsored by University of Copenhagen · Observational

From the registry’s dates

  • Primary completion was expected by May 2025, 1 year 4 months ago, but the record still lists the study as enrolling by invitation.
Study type
Observational
Model
Other
Time perspective
Other
Enrollment
6,500
Ages
18 Years and older
Sex
All
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Study summary

The aim of TRANSLATE is to implement genetic information directly into patient care to improve diagnosis and treatment of non-autoimmune diabetes. This project is the first large-scale implementation of systematic genetic testing within a common, non-communicable, chronic disease in Denmark, and will spearhead efforts to advance personalized medicine in Denmark.

The project will contribute to establishing technology, workflow, and evidence on how to implement and communicate actionable genetic information to clinicians and patients in a generalized format. These developments are pivotal for personalized medicine to reach broader clinical application.

Read the detailed description

The TRANSLATE project is an integrative project with multifaceted goals, that can be broken down into two main columns. The foundation for both columns is the WGS analysis in a clinical diagnostic setting in order to guide patient treatment. Patients are not randomized and the inclusion and exclusion criteria are deliberately broad and minimal, respectively.

The first column is the clinical development project, which seeks to complete a novel diagnostic process. This column will develop new pipelines and uncover barriers and challenges associated with gene-based precision medicine to facilitate sustainable implementation of gene-based precision medicine beyond the TRANSLATE project.

During the project, we wish to focus on potential barriers against a broad application of gene-based precision medicine in a common disease. These may include:

  • Challenges pertaining to the selection of variants that are deemed clinically actionable, automation of genetic interpretation/translation, and the feasibility of large-scale precision medicine implementation
  • Ethical concerns of patients, clinicians, and other technicians with regard to the application and utility of genetic information
  • Validity and limitations of current computational pipelines for variant calling including the calling of structural variants and aggregate genetic tools
  • Challenges regarding the interoperability of IT systems and databases nationally in Denmark, specifically how central databases can be linked to clinical end-users
  • How implementation of genetic analyses affects clinical decision-making and/or clinical trajectories, both qualitatively and quantitatively

The second column is a register-based research project in which we will utilize data from the patients to advance gene-based precision medicine. In this column we will both address how to establish comprehensive research infrastructure, as well as answer specific research questions. We will address how to combine and harmonize genetic data with other Danish registry sources. We will use the newly established methodologies to focus on the following research areas with respect to patient stratification, clinical trajectories, complication development, and other clinically relevant outcomes:

  • Polygenic risk scores
  • Machine learning algorithms
  • Combined polygenic and monogenic traits
  • Non-coding variation
  • Structural variation, specifically exon deletions and duplications, which have previously been shown as a cause of monogenic diabetes
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Conditions studied

  • Diabetes Mellitus, Type 2
  • Diabetes, Gestational

Keywords

  • Precision medicine
  • Personalized medicine
  • Genetics
03

In context

Diabetes, Gestational

842 studies on the registry are indexed under Diabetes, Gestational; 198 are open to participants now.

This study's planned enrollment of 6,500 is above the median of 200 across 269 observational studies indexed under Diabetes, Gestational.

Browse Diabetes, Gestational studies →

Lead sponsor

University of Copenhagen is the lead sponsor of 450 studies on the registry; 61 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

All patients in the target groups with non-autoimmune/non-T1D attending SDCC or pregnant women with gestational diabetes attending one of the obstetric clinics in the project will be offered a genetic test.

Inclusion criteria

  • Any case of non-T1D defined as debut >30 years of age, OR debut \<30 years of age AND negative autoantibodies
  • Any case of diabetes diagnosed in pregnancy (obstetric departments)

Exclusion criteria

Exclusion Criteria:

  • Age \<18 years
  • Inability to provide informed consent
05

Study design

Observational model
Other
Time perspective
Other
Enrollment
6,500 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Patients with non-autoimmune diabetes (type 2 diabetes)

    Any case of non-T1D defined as: * Debut \>30 years of age OR * Debut \<30 years of age AND negative autoantibodies treated at Steno Diabetes Center Copenhagen

    Other: Whole genome sequencing

  • Patients with gestational diabetes

    Any case of diabetes diagnosed in pregnancy treated at the following obstetric clinics in the Capital Region in Denmark: Rigshospitalet, Nordsjællands Hospital, Herlev Hospital, Hvidovre Hospital

    Other: Whole genome sequencing

Interventions

  • OtherWhole genome sequencing

    Each participant will have WGS performed in order to report on clinically actionable genetic variation in diabetes.

    Also known as: WGS

06

What researchers measure

Primary outcomes

  1. Selection of clinically actionable genetic variation in diabetes

    Using mixed methods such as gene burden investigations, workgroups, interviews, etc. challenges related to the selection of clinically actionable genetic variants and automation of interpretation/translation will be delineated.

    Time frame: Until final patient inclusion (May 2025) + 2 years (May 2027)

  2. Ethical concerns regarding the application and utility of genetic information

    The project will address how patients, clinicians, technicians etc. shape their understanding of the utility and challenges associated with gene-based precision medicine using ethnographic methods such as field observations and semi-structured interviews.

    Time frame: Until final patient inclusion (May 2025) + 2 years (May 2027)

  3. Validity and limitations of current computational pipelines

    By comparing computational and analytical methods, the project will investigate the validity and limitations of different computational pipelines. This includes handling of single nucleotide variants, as well as structural variation.

    Time frame: Until final patient inclusion (May 2025) + 2 years (May 2027)

  4. Interoperability of IT systems and databases

    The project will address the flow of data to and from clinical end-users, through centralized databases, both with respect to how the data flow is perceived by users and potential challenges, and how interoperability can be improved to enhance clinical utility. The project will also address how to harmonize data from different sources.

    Time frame: Until final patient inclusion (May 2025) + 2 years (May 2027)

  5. Impact on clinical decision-making and clinical trajectories

    Using mixed methods such as mapping of clinical trajectories through clinical registries and qualitative methods such as interviews, workgroups, etc., the project will investigate how implementation of gene-based precision diabetes impacts clinical decision making.

    Time frame: Until final patient inclusion (May 2025) + 2 years (May 2027)

07

Study locations

5 sites
  • Rigshospitalet
    Copenhagen, Denmark
  • Herlev Hospital
    Herlev, Denmark
  • Steno Diabetes Center Copenhagen
    Herlev, Denmark
  • Hillerød Hospital
    Hillerød, Denmark
  • Hvidovre Hospital
    Hvidovre, Denmark
08

References and documents

Related links

Individual participant data

Plan to share: No — Data will be reported to Danish National Genome Center after completion.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 17, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT05368220
Lead sponsor
University of Copenhagen
Collaborators
Steno Diabetes Center Copenhagen, BGI Europe, Intomics A/S, Rigshospitalet, Denmark, Danish National Genome Center, Nordsjaellands Hospital, Herlev Hospital, Hvidovre University Hospital
Responsible party
Torben Hansen (Professor, University of Copenhagen) — Principal investigator
First posted
May 10, 2022
Start date
May 6, 2022
Primary completion
May 31, 2025 (estimated)
Completion
May 31, 2027 (estimated)
Last update
May 17, 2022

Study contacts

Torben Hansen, PhD
principal investigator · University of Copenhagen

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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