<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Koivula RW</submitter><funding>Novo Nordisk Foundation</funding><funding>Novo Nordisk</funding><funding>European Research Council</funding><funding>Medical Research Council</funding><funding>National Institute for Health Research (NIHR)</funding><funding>NNF Center for Basic Metabolic Research</funding><funding>Novo Nordisk Foundation Center for Protein Research</funding><funding>Wellcome Trust</funding><funding>Innovative Medicines Initiative Joint Undertaking</funding><funding>Novo Nordisk Fonden</funding><pagination>1601-1615</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6677872</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>62(9)</volume><pubmed_abstract>&lt;h4>Aims/hypothesis&lt;/h4>Here, we describe the characteristics of the Innovative Medicines Initiative (IMI) Diabetes Research on Patient Stratification (DIRECT) epidemiological cohorts at baseline and follow-up examinations (18, 36 and 48 months of follow-up).&lt;h4>Methods&lt;/h4>From a sampling frame of 24,682 adults of European ancestry enrolled in population-based cohorts across Europe, participants at varying risk of glycaemic deterioration were identified using a risk prediction algorithm (based on age, BMI, waist circumference, use of antihypertensive medication, smoking status and parental history of type 2 diabetes) and enrolled into a prospective cohort study (n = 2127) (cohort 1, prediabetes risk). We also recruited people from clinical registries with type 2 diabetes diagnosed 6-24 mo</pubmed_abstract><journal>Diabetologia</journal><pubmed_title>Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: descriptive characteristics of the epidemiological studies within the IMI DIRECT Consortium.</pubmed_title><pmcid>PMC6677872</pmcid><funding_grant_id>Hansen Group</funding_grant_id><funding_grant_id>ERC-2015-CoG_NASCENT_681742 (P.W.F.)</funding_grant_id><funding_grant_id>NNF18OC0031650</funding_grant_id><funding_grant_id>MC_UU_12015/3</funding_grant_id><funding_grant_id>Pedersen Group</funding_grant_id><funding_grant_id>NNF17OC0027594</funding_grant_id><funding_grant_id>PI Søren Brunak</funding_grant_id><funding_grant_id>IMI-DIRECT n°115317</funding_grant_id><funding_grant_id>102820/Z/13/Z</funding_grant_id><funding_grant_id>681742</funding_grant_id><funding_grant_id>NNF17OC0027594 (S.Bru.)</funding_grant_id><funding_grant_id>NF-SI-0616-10080</funding_grant_id><funding_grant_id>STAR Award co-financed PhD fellowship (R.K.)</funding_grant_id><funding_grant_id>Investigator award 102820/Z/13/Z (E.R.P)</funding_grant_id><pubmed_authors>McCarthy MI</pubmed_authors><pubmed_authors>Frost G</pubmed_authors><pubmed_authors>Koopman ADM</pubmed_authors><pubmed_authors>Perry MH</pubmed_authors><pubmed_authors>Vinuela A</pubmed_authors><pubmed_authors>Bell JD</pubmed_authors><pubmed_authors>Hansen TH</pubmed_authors><pubmed_authors>Brunak S</pubmed_authors><pubmed_authors>Forgie IM</pubmed_authors><pubmed_authors>Groves CJ</pubmed_authors><pubmed_authors>Mahajan A</pubmed_authors><pubmed_authors>IMI DIRECT Consortium</pubmed_authors><pubmed_authors>Rutters F</pubmed_authors><pubmed_authors>Kurbasic A</pubmed_authors><pubmed_authors>Koivula RW</pubmed_authors><pubmed_authors>Pavo I</pubmed_authors><pubmed_authors>Walker M</pubmed_authors><pubmed_authors>Kaye J</pubmed_authors><pubmed_authors>Teare HJA</pubmed_authors><pubmed_authors>De Masi F</pubmed_authors><pubmed_authors>Heggie A</pubmed_authors><pubmed_authors>Adamski J</pubmed_authors><pubmed_authors>Brorsson CA</pubmed_authors><pubmed_authors>Kokkola T</pubmed_authors><pubmed_authors>Ridderstrale M</pubmed_authors><pubmed_authors>Laakso M</pubmed_authors><pubmed_authors>Mari A</pubmed_authors><pubmed_authors>Franks PW</pubmed_authors><pubmed_authors>Allin KH</pubmed_authors><pubmed_authors>Dawed AY</pubmed_authors><pubmed_authors>White T</pubmed_authors><pubmed_authors>Tura A</pubmed_authors><pubmed_authors>Hattersley A</pubmed_authors><pubmed_authors>McDonald TJ</pubmed_authors><pubmed_authors>Ruetten H</pubmed_authors><pubmed_authors>Dermitzakis ET</pubmed_authors><pubmed_authors>Jablonka B</pubmed_authors><pubmed_authors>Schwenk JM</pubmed_authors><pubmed_authors>Gupta R</pubmed_authors><pubmed_authors>Siloaho M</pubmed_authors><pubmed_authors>Pedersen O</pubmed_authors><pubmed_authors>Brage S</pubmed_authors><pubmed_authors>Beulens JW</pubmed_authors><pubmed_authors>Thomas EL</pubmed_authors><pubmed_authors>Giordano GN</pubmed_authors><pubmed_authors>Hansen T</pubmed_authors><pubmed_authors>Hudson M</pubmed_authors><pubmed_authors>Vestergaard H</pubmed_authors><pubmed_authors>Pearson E</pubmed_authors><pubmed_authors>Froguel P</pubmed_authors><pubmed_authors>Rauh SP</pubmed_authors></additional><is_claimable>false</is_claimable><name>Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: descriptive characteristics of the epidemiological studies within the IMI DIRECT Consortium.</name><description>&lt;h4>Aims/hypothesis&lt;/h4>Here, we describe the characteristics of the Innovative Medicines Initiative (IMI) Diabetes Research on Patient Stratification (DIRECT) epidemiological cohorts at baseline and follow-up examinations (18, 36 and 48 months of follow-up).&lt;h4>Methods&lt;/h4>From a sampling frame of 24,682 adults of European ancestry enrolled in population-based cohorts across Europe, participants at varying risk of glycaemic deterioration were identified using a risk prediction algorithm (based on age, BMI, waist circumference, use of antihypertensive medication, smoking status and parental history of type 2 diabetes) and enrolled into a prospective cohort study (n = 2127) (cohort 1, prediabetes risk). We also recruited people from clinical registries with type 2 diabetes diagnosed 6-24 mo</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Sep</publication><modification>2025-04-04T11:05:42.973Z</modification><creation>2019-08-21T07:01:34Z</creation></dates><accession>S-EPMC6677872</accession><cross_references><pubmed>31203377</pubmed><doi>10.1007/s00125-019-4906-1</doi></cross_references></HashMap>