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  <citation>
    <titlStmt>
      <titl>French Multicentric Cohort on Genetic, Epigenetic and Environmental Risk Factors of Autoimmune Diabetes and its Complications.</titl>
      <IDNo>FRESH-PEF5075-en</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="" affiliation="INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)" role="">Pierre BOUGNERES</producer>
    </prodStmt>
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  <citation>
    <titlStmt>
      <titl>
                French Multicentric Cohort on Genetic, Epigenetic and Environmental Risk Factors of Autoimmune Diabetes and its Complications.            </titl>
      <altTitl>
                    ISIS-DIAB                </altTitl>
      <IDNo agency="FReSH-lang">
                FRESH-PEF5075-en            </IDNo>
      <IDNo agency="PEF">
                    5075                </IDNo>
      <IDNo agency="FReSH">
                    FRESH-PEF5075                </IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty>
                    Pierre BOUGNERES                                                                                                                            </AuthEnty>
      <AuthEnty affiliation="INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)">
        <ExtLink title="ROR" URI="https://ror.org/02vjkv261" role="organisation id"/>
        <ExtLink title="SIREN" URI="180036048" role="organisation id"/>
      </AuthEnty>
      <AuthEnty>
                    Alain-Jacques VALLERON                                                                                                                            </AuthEnty>
      <AuthEnty affiliation="INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)">
        <ExtLink title="ROR" URI="https://ror.org/02vjkv261" role="organisation id"/>
        <ExtLink title="SIREN" URI="180036048" role="organisation id"/>
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                                    </othId>
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    <prodStmt>
      <producer role="sponsor">
                                            INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)                    
                                    </producer>
      <prodPlac>
                Epidemiology France Portal (PEF)            </prodPlac>
      <fundAg>
                                            INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)                    
                                    </fundAg>
      <fundAg>
                                            NOVO NORDISK                    
                                    </fundAg>
    </prodStmt>
    <distStmt>
      <distrbtr abbr="null">
                    null</distrbtr>
      <contact affiliation="INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)" email="alain-jacques.valleron@inserm.fr">
                    Alain-Jacques;VALLERON
                                            <ExtLink title="ROR" URI="https://ror.org/02vjkv261" role="organisation id"/>
                                            <ExtLink title="SIREN" URI="180036048" role="organisation id"/>
                                    </contact>
      <depDate date="2026-06-17"/>
      <distDate date="2026-06-17"/>
    </distStmt>
    <biblCit format="">
            </biblCit>
    <holdings URI="null"/>
    <notes> </notes>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <keyword vocab="" vocabURI="">
                    Genetic environment</keyword>
      <topcClas vocab="health theme">
                        Endocrinology                                                        <ExtLink title="ESV" URI="http://data.europa.eu/8mn/euroscivoc/d1dd1bac-5313-4ab3-837f-4acd3ec521a7"/>
                                                            <ExtLink title="MeSH" URI="http://id.nlm.nih.gov/mesh/D004704"/>
                                                </topcClas>
      <topcClas vocab="health determinant">
                        Socio-demographic and economic determinants: Employment                    </topcClas>
      <topcClas vocab="health determinant">
                        Behavioral determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Behavioral determinants: Eating habits                    </topcClas>
      <topcClas vocab="health determinant">
                        Environmental determinants: Climate                    </topcClas>
      <topcClas vocab="health determinant">
                        Environmental determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Environmental determinants: Other                    </topcClas>
      <topcClas vocab="health determinant">
                        Biological determinants: Genetic predisposition                    </topcClas>
      <topcClas vocab="health determinant">
                        Socio-demographic and economic determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Healthcare system determinants: Use of care                    </topcClas>
      <topcClas vocab="health determinant">
                        Biological determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Healthcare system determinants                    </topcClas>
    </subject>
    <abstract contentType="purpose">To conduct gene-environment studies on a large scale, with a "data driven" methodology (GWAS for the genetic portion, questionnaires with no preconceived ideas and French environmental databases for the environmental portion), in order to identify risk factors of type 1 diabetes as well as its acute (severe hypoglycaemia, ketoacidosis) and chronic (retinopathy, nephropathy) complications. To conduct epigenetic studies by investigating methylation development (candidate genes or the entire genome) according to different phenotypic traits (glycaemic control, onset of complications, insulin dosage).To be the basis of immune modulation studies for all early diabetes, or for patients resistant to autoimmune attack, and to keep a significant reserve of functional beta cells for 1-5 years (European project DF-IL2, through collaboration with D. Klatzman, funded by FP7 clinical trial tender). ISIS provides the infrastructure to enable the recruitment of newly diagnosed diabetes cases (149 new cases of diabetes recruited in 2008, 136 in 2009, 143 in 2010 and 191 in 2011). To investigate the beginning of microangiopathic complications in a significant number of children and to study the medical, genetic, epigenetic and environmental determinants of these complications by an integrated and multi-factorial approach. Patients currently in the ISIS cohort have had diabetes for an average of 10.8 years and a mean HbA1c of 8.4%. Background retinopathy is expected in approximately 20% of those that have had diabetes over 10 years (at present: 1,581 cohort patients have had diabetes for more than 10 years, approximately 300 patients are expected to develop complications). We also wish to initiate a strategy for prospective primary prevention trials for retinopathy in 2012 in collaboration with Prof. P. Massin. To conduct studies on conventional treatment and improvements that can be initiated. Our main focus is to test therapeutic education procedures that can limit inequalities in treatment quality and promote "minimally disruptive" medical practice (May C, Montori VM, Fair FS: We need minimally disruptive medicine, BMJ 2009; 339: b2803) capable of minimising the therapeutic burden added to chronic disease, in contrast with the rampant intensification of treatment practised by some that we believe now threatens the quality of psychological development of a significant proportion of young children with diabetes. To conduct prospective studies on sudden death syndrome, "dead in bed" characteristics of adolescents with diabetes (O'Reilly M, O'Sullivan EP, Davenport C, Smith D: « Dead in bed » : a tragic complication of type 1 diabetes mellitus, Ir J Med Sci 2010, 179 (4): 585-7), risk factors for mortality and morbidity in severe ketoacidosis (special youth complications). Such studies do not exist in the literature: important case-based reasoning is necessary to answer these two questions. This explains the limited nature of the studies in the literature that relied on a small series of anecdotal and retrospective cases. To conduct humanities and social science studies in the field of psychological consequences of childhood diabetes, including the frequency of depressive syndromes (patients and parents) and to analyse health care access disparities (incorporating geographical, medical and sociological analyses). To broaden the scope of cohort-related work by screening case families for diabetes (there are about 5,200 brothers or sisters under 7 years of age related to diabetic children already included in ISIS).</abstract>
    <abstract contentType="abstract">null</abstract>
    <sumDscr>
      <collDate event="start" date="2006-01-01"/>
      <nation abbr="fr">
                    France
                                            <concept vocab="ISO" vocabURI="fr"/>
                                    </nation>
      <geogUnit/>
      <anlyUnit>
                Individuals            </anlyUnit>
      <universe level="type" clusion="I">Patients population                    </universe>
      <universe level="sex" clusion="I">Male                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D008297"/>
                                                    </universe>
      <universe level="sex" clusion="I">Female                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D005260"/>
                                                    </universe>
      <universe level="age" clusion="I">Infant (28 days to 2 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D007223"/>
                                                    </universe>
      <universe level="age" clusion="I">Child, Preschool (2 to 5 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D002675"/>
                                                    </universe>
      <universe level="age" clusion="I">Child (6 to 12 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D002648"/>
                                                    </universe>
      <universe level="age" clusion="I">Young Adult (19 to 24 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D055815"/>
                                                    </universe>
      <universe level="age" clusion="I">Adult (25 to 44 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000328"/>
                                                    </universe>
      <universe level="age" clusion="I">Middle Aged (45 to 64 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D008875"/>
                                                    </universe>
      <universe level="age" clusion="I">Aged (65 to 79 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000368"/>
                                                    </universe>
      <universe level="age" clusion="I">Aged, 80 and over (80 years and more)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000369"/>
                                                    </universe>
      <universe clusion="I">French people with type 1 diabetes                    </universe>
      <dataKind>Clinical data</dataKind>
      <dataKind>Participant-reported health data</dataKind>
      <dataKind>Biological data</dataKind>
    </sumDscr>
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    <developmentActivity type="primary evaluation">
      <description>Health event/morbidity
Health event/mortality</description>
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    <dataColl>
      <sampProc>Other                                                            <concept vocab="CESSDA" vocabURI="Other"/>
                                                    </sampProc>
      <sampleFrame>
        <frameUnit>
          <unitType>Through organizations (health services or institutions</unitType>
        </frameUnit>
        <frameUnit>
          <unitType>schools</unitType>
        </frameUnit>
        <frameUnit>
          <unitType>businesses</unitType>
        </frameUnit>
        <frameUnit>
          <unitType>etc.)</unitType>
        </frameUnit>
      </sampleFrame>
      <targetSampleSize>
        <sampleSizeFormula>[10000-20000[ individuals                        </sampleSizeFormula>
      </targetSampleSize>
      <collMode>Interview with the participant (including clinical)                                                            <concept vocab="CESSDA" vocabURI="Interview"/>
                                                    </collMode>
    </dataColl>
    <notes>Observational Study</notes>
    <notes subject="research type">
                        Observational Study                    </notes>
    <notes subject="observational study method">
                        Cohort study                    </notes>
    <anlyInfo>
      <respRate>10000</respRate>
    </anlyInfo>
    <stdyClas>Unknown</stdyClas>
  </method>
  <dataAccs>
    <setAvail>
      <avlStatus>
                            Restricted access                                                    </avlStatus>
    </setAvail>
    <useStmt>
      <conditions>Contact the principal investigator</conditions>
    </useStmt>
  </dataAccs>
  <othrStdyMat>
    <relMat>Access on specific project only</relMat>
  </othrStdyMat>
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<dataDscr>
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