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Status unknownNCT02212522ISIS-DIABUpdated Jun 28, 2016

Genetic and Environmental Risk Factors of Type 1 Autoimmune Diabetes and Its Early Complications

An observational study in Diabetes Mellitus and Insulin-Dependent, sponsored by Assistance Publique - Hôpitaux de Paris. Status unknown at 1 site in France. Open to participants aged 6 Months and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2016-06-28.

Sponsored by Assistance Publique - Hôpitaux de Paris · Observational

The sponsor has not verified this record recently (last verified Jun 2016), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Case-control
Enrollment
20,000
Ages
6 Months and older
Sex
All
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Study summary

The aim of this study is to complete the identification of genetic factors (G) and to undertake the search of environmental factors (E) predisposing to type 1 diabetes (T1D) by constituting a cohort of 3500 T1D patients and a control cohort. We will use the base of G analysis (whole genome genotyping done once a patient using methods conually updated at Centre National de Genotype) and innovative E analysis to develop the following long term objectives :

  • Identify G and E factors influencing the process of remaining beta cells' destruction during the first 3 years after diagnosis (subgroup of T1D patients with a 0-3 years diabetes duration);
  • Identify G factors (pharmacogenomics) of the individual response to insulin using the effective insulin dose as a phenotype over a period of 2 years (subgroup of T1D patients with negative C-peptide and well managed diabetes);
  • Undertake a prospective research of G and E risk factors of "death in bed" syndrome in diabetic adolescents;
  • Undertake a prospective research of G and E risk factors of incipient glomerular microangiopathy (regule measurement of microalbuminuria).
Read the detailed description

Still recognized in youth only at a stage of complete beta-cell mass destruction and insulin deficiency, autoimmune T1D remains a source of major morbidity through daily life and chronic angiopathic complications despite a better glycemic control. T1D onset is now predominantly pediatric, since its incidence shows a rapid and continuous increase in young European children, due to unknown emerging environmental changes, creating a major need for discoveries in the environmental field. Finding avoidable E factors can allow T1D prevention in the whole children population. Lack of infectious exposures ("the hygiene hypothesis"), viruses, early nutrition, or other factors have been suspected, but E causes of T1D remain a black box, as for most human diseases, that should now be approached more systematically and with respect to gene-environment interactions.

The aim of our study is to complete the identification of genetic factors (G) and to undertake the search of environmental factors (E) predisposing to type 1 diabetes (T1D) by constituting a cohort of 3500 T1D patients and a control cohort. We will use the base of G analysis (whole genome genotyping done once a patient using methods conually updated at Centre National de Genotype) and innovative E analysis to develop the following long term objectives :

  • Identify G and E factors influencing the process of remaining beta cells' destruction during the first 3 years after diagnosis (subgroup of T1D patients with a 0-3 years diabetes duration);
  • Identify G factors (pharmacogenomics) of the individual response to insulin using the effective insulin dose as a phenotype over a period of 2 years (subgroup of T1D patients with negative C-peptide and well managed diabetes);
  • Undertake a prospective research of G and E risk factors of "death in bed" syndrome in diabetic adolescents;
  • Undertake a prospective research of G and E risk factors of incipient glomerular microangiopathy (regule measurement of microalbuminuria).

We propose to constitute a French multicentric cohort of T1D patients, well phenotyped by 3 data types : genetic, environmental and clinical data. The data collection scheme includes at entry a comprehensive 850 items environmental questionnaire for all subjects and a full genotyping with at least 500,000 SNPs until whole-genome sequencing can be deployed by CNG-CEA. Every 6 months, a standardized clinical assessment is made in patients (a WEB application ensuring this standardization has already been developed). Personal address(es) will be collected and geocoded, then mapped with environmental geographic information systems (GIS).

With environmental modelling, the high dimensionality analyses (HDA) constitutes one of the main originality of ISIS-DIAB approaches of translational research. HDA will face not only a massive mass of data, but data of a remarkable diversity (genomic variants, environmental items from questionnaires, environmental data bases mapped to patient address, space-time items, characteristics of social environment, clinical phenotypes etc). A given genotype (defined by many genomic variants) will predispose to T1D only in a given environmental context (defined possibly by a number of factors) and induce a given type of autoimmune process (age of onset, rate of destruction, biomarkers). Since T1D is both multifactorial and heterogeneous, causal factors may interact in a considerable number of scenarii, thus platforms which study these factors should obviously interact. Without HDA, each platform would be left faced with its own data. The chef d'orchestre has to be HDA, to integrate the massive amounts of data and draw networks of causality. Technological advances in HDA developed in other fields of sciences, business and economics (forecasting technology) will be transferred to biomedical research through ISIS-DIAB. French have a strong tradition of high-level maths in this area. We designed the ISIS-DIAB cohort and collection of data to feed HDA with multidisciplinary data. In ISIS-DIAB program, HDA will identify the variables that have the most predictive value on several outcomes (not confined to T1D causality).

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Conditions studied

  • Diabetes Mellitus
  • Insulin-Dependent

Keywords

  • Diabetes Mellitus
  • Insulin-Dependent
  • Genome-Wide Association Study
  • Environment-Wide Association Study
  • Predisposition
  • Complications
03

In context

Diabetes Mellitus

10,925 studies on the registry are indexed under Diabetes Mellitus; 1,319 are open to participants now.

This study's planned enrollment of 20,000 is above the median of 233 across 2,220 observational studies indexed under Diabetes Mellitus.

Browse Diabetes Mellitus studies →

Lead sponsor

Assistance Publique - Hôpitaux de Paris is the lead sponsor of 3,505 studies on the registry; 1,006 are open to participants now.

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

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Who can participate

Ages eligible
6 Months and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Patients: T1D patients are enrolled into the Isis-Diab cohort, continuously, from 110 clinical diabetes centers distributed over the whole France territory. Inclusion in the cohort occurs most often soon after the initial diagnosis of T1D. This diagnosis is made according to classical criteria of autoimmune T1D.

Controls: we will recruit age-matched controls among friend patients' families and among cases admitted in the participating centers for benign transient intercurrent events.

Inclusion criteria

  • Insulin-dependent diabetes
  • Patients older than 6 months at inclusion
  • European or North African geographical origin (defined by the birthplaces of the 4 grandparents), for the purpose of genetic homogeneity of the cohort
  • Anti-GAD, IA2, and insulin autoantibodies, that are present only in the first year of the disease evolution, are not a criterion of absolute inclusion (low risk of error) but will be noted if they were searched at diagnosis
  • Informed consent dated and voluntarily signed (patient and/or parents)

Exclusion criteria

Exclusion Criteria:

  • Non-insulin dependent diabetes
  • MODY
  • Severe psychological problems, co-morbidities that could possibly invalidate informed consent
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Study design

Observational model
Case-control
Enrollment
20,000 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Isis-Diab patients

    French T1D patients with genetic data (GWAS), and environmental data (questionnaire and environmental databases), clinical data

    Other: Collect of environmental data on T1D patients before diagnosis · Genetic: Collect of blood samples for DNA extraction and genetic characterization (GWAS) · Other: Collect of clinical data on the disease and its evolution

  • Isis-Diab controls

    French control population with genetic data (GWAS) and environmental data (questionnaire and environmental databases

    Other: Collect of environmental data on French controls (age-matched for T1D patients) · Genetic: Collect of blood samples for DNA extraction and genetic characterization (GWAS)

Interventions

  • OtherCollect of environmental data on T1D patients before diagnosis

    Questionnaires on large environment during mother's pregnancy and patient's childhood, health book copies, addresses' geolocation, quantification of viral exposures using Sentinel Network data

  • GeneticCollect of blood samples for DNA extraction and genetic characterization (GWAS)

    Collect of blood samples for DNA extraction and genetic characterization (GWAS) on Illumina platform (Centre National de Genotype)

  • OtherCollect of clinical data on the disease and its evolution

    Collect of clinical data on the disease and its evolution every 6 months after enrollment

  • OtherCollect of environmental data on French controls (age-matched for T1D patients)

    Questionnaires on large environment during mother's pregnancy and patient's childhood, health book copies, addresses' geolocation, quantification of viral exposures using Sentinel Network data

  • GeneticCollect of blood samples for DNA extraction and genetic characterization (GWAS)

    Collect of blood samples for DNA extraction and genetic characterization (GWAS) on Illumina platform (Centre National de Genotype)

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What researchers measure

Primary outcomes

  1. Genetic and environmental risk factors of T1D predisposition

    Time frame: 10 years

Secondary outcomes

  1. Genetic and environmental risk factors of T1D complications

    Regular measurement of microalbuminuria

    Time frame: 10 years

  2. Identify G and E factors influencing the process of remaining beta cells' destruction during the first 3 years after diagnosis

    Subgroup of T1D patients with a 0-3 years diabetes duration

    Time frame: 5 years

  3. Identify G factors (pharmacogenomics) of the individual response to insulin using the effective insulin dose as a phenotype over a period of 2 years

    Subgroup of T1D patients with negative C-peptide and well managed diabetes

    Time frame: 4 years

  4. Undertake a prospective research of G and E risk factors of "death in bed" syndrome in diabetic adolescents

    Time frame: 5 years

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Study locations

1 of 1 sites recruiting
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References and documents

Publications

  • Balazard F, Le Fur S, Valtat S, Valleron AJ, Bougneres P; Isis-Diab collaborative group; Thevenieau D, Chatel CF, Desailloud R, Bony-Trifunovic H, Ducluzeau PH, Coutant R, Caudrelier S, Pambou A, Dubosclard E, Joubert F, Jan P, Marcoux E, Bertrand AM, Mignot B, Penformis A, Stuckens C, Piquemal R, Barat P, Rigalleau V, Stheneur C, Fournier S, Kerlan V, Metz C, Fargeot-Espaliat A, Reznic Y, Olivier F, Gueorguieva I, Monier A, Radet C, Gajdos V, Terral D, Vervel C, Bendifallah D, Signor CB, Dervaux D, Benmahammed A, Loeuille GA, Popelard F, Guillou A, Benhamou PY, Khoury J, Brossier JP, Bassil J, Clavel S, Le Luyer B, Bougneres P, Labay F, Guemas I, Weill J, Cappoen JP, Nadalon S, Lienhardt-Roussie A, Paoli A, Kerouedan C, Yollin E, Nicolino M, Simonin G, Cohen J, Atlan C, Tamboura A, Dubourg H, Pignol ML, Talon P, Jellimann S, Chaillous L, Baron S, Bortoluzzi MN, Baechler E, Salet R, Zelinsky-Gurung A, Dallavale F, Larger E, Laloi-Michelin M, Gautier JF, Guerin B, Oilleau L, Pantalone L, Lukas C, Guilhem I, De Kerdanet M, Wielickzo MC, Priou-Guesdon M, Richard O, Kurtz F, Laisney N, Ancelle D, Parlier G, Boniface C, Bockel DP, Dufillot D, Razafimahefa B, Gourdy P, Lecomte P, Pepin-Donat M, Combes-Moukhovsky ME, Zymmermann B, Raoulx M, Dumont AG. Association of environmental markers with childhood type 1 diabetes mellitus revealed by a long questionnaire on early life exposures and lifestyle in a case-control study. BMC Public Health. 2016 Sep 29;16(1):1021. doi: 10.1186/s12889-016-3690-9. PubMed 27682602 ↗

Individual participant data

Plan to share: No

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jun 28, 2016, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT02212522
Lead sponsor
Assistance Publique - Hôpitaux de Paris
Collaborators
Centre National de Génotypage, Institut National de la Santé Et de la Recherche Médicale, France
Responsible party
Sponsor
First posted
Aug 8, 2014
Start date
Nov 2004
Primary completion
Dec 2017 (estimated)
Completion
Jun 2018 (estimated)
Last update
Jun 28, 2016

Study contacts

Sophie Le Fur, PhD
Contact
sophie.le-fur@inserm.fr
+33 1 49 59 53 43
Laurence LECOMTE, PhD
Contact
laurence.lecomte@nck.aphp.fr
+33 1 71 19 64 94
Pierre BOUGNERES, MD-PhD
principal investigator · Inserm U986/ Pediatric endocrinology department of the Bicêtre hospital

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

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