Keyword - Type 2 diabetes

An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study.
Slieker, Roderick C; Münch, Magnus; Donnelly, Louise A; Bouland, Gerard A; Dragan, Iulian; Kuznetsov, Dmitry; Elders, Petra J M; Rutter, Guy A; Ibberson, Mark; Pearson, Ewan R; 't Hart, Leen M; van de Wiel, Mark A; Beulens, Joline W J
Diabetologia, Volume 67, Issue 5 (2024)
PMID: 38374450 DOI: 10.1007/s00125-024-06105-8 
Citations: 9 (Scopus)
Tags: Consortia: IMI-RHAPSODY | Study: DCS | Study: GoDARTS

Multi-omics subgroups associated with glycaemic deterioration in type 2 diabetes: an IMI-RHAPSODY Study.
Li, Shiying; Dragan, Iulian; Tran, Van Du T; Fung, Chun Ho; Kuznetsov, Dmitry; Hansen, Michael K; Beulens, Joline W J; Hart, Leen M 't; Slieker, Roderick C; Donnelly, Louise A; Gerl, Mathias J; Klose, Christian; Mehl, Florence; Simons, Kai; Elders, Petra J M; Pearson, Ewan R; Rutter, Guy A; Ibberson, Mark
Front Endocrinol (Lausanne), Volume 15 (2024)
PMID: 38510703 DOI: 10.3389/fendo.2024.1350796 
Citations: 3 (Scopus)
Tags: Consortia: IMI-RHAPSODY | Study: DCS | Study: GoDARTS

Replication and cross-validation of type 2 diabetes subtypes based on clinical variables: an IMI-RHAPSODY study.
Slieker, Roderick C; Donnelly, Louise A; Fitipaldi, Hugo; Bouland, Gerard A; Giordano, Giuseppe N; Åkerlund, Mikael; Gerl, Mathias J; Ahlqvist, Emma; Ali, Ashfaq; Dragan, Iulian; Festa, Andreas; Hansen, Michael K; Mansour Aly, Dina; Kim, Min; Kuznetsov, Dmitry; Mehl, Florence; Klose, Christian; Simons, Kai; Pavo, Imre; Pullen, Timothy J; Suvitaival, Tommi; Wretlind, Asger; Rossing, Peter; Lyssenko, Valeriya; Legido-Quigley, Cristina; Groop, Leif; Thorens, Bernard; Franks, Paul W; Ibberson, Mark; Rutter, Guy A; Beulens, Joline W J; 't Hart, Leen M; Pearson, Ewan R
Diabetologia, Volume 64, Issue 9 (2021)
PMID: 34110439 DOI: 10.1007/s00125-021-05490-8 
Citations: 63 (Scopus)
Tags: Consortia: IMI-RHAPSODY | Study: ANDIS | Study: DCS | Study: GoDARTS

Heterogeneity of Associations between Total and Types of Fish Intake and the Incidence of Type 2 Diabetes: Federated Meta-Analysis of 28 Prospective Studies Including 956,122 Participants.
Pastorino, Silvia; Bishop, Tom; Sharp, Stephen J; Pearce, Matthew; Akbaraly, Tasnime; Barbieri, Natalia B; Bes-Rastrollo, Maira; Beulens, Joline W J; Chen, Zhengming; Du, Huaidong; Duncan, Bruce B; Goto, Atsushi; Härkänen, Tommi; Hashemian, Maryam; Kromhout, Daan; Järvinen, Ritva; Kivimaki, Mika; Knekt, Paul; Lin, Xu; Lund, Eiliv; Magliano, Dianna J; Malekzadeh, Reza; Martínez-González, Miguel Ángel; O'Donoghue, Gráinne; O'Gorman, Donal; Poustchi, Hossein; Rylander, Charlotta; Sawada, Norie; Shaw, Jonathan E; Schmidt, Maria; Soedamah-Muthu, Sabita S; Sun, Liang; Wen, Wanqing; Wolk, Alicja; Shu, Xiao-Ou; Zheng, Wei; Wareham, Nicholas J; Forouhi, Nita G
Nutrients, Volume 13, Issue 4 (2021)
PMID: 33917229 DOI: 10.3390/nu13041223 
Citations: 11 (Scopus)
Tags: Consortia: EUCAN-Connect | Consortia: InterConnect | Study: ARIC | Study: AusDiab | Study: CARDIA | Study: CKB | Study: COSM | Study: ELSA-Brasil | Study: FMC | Study: GCS | Study: Hoorn Study | Study: InterAct Denmark | Study: InterAct France | Study: InterAct Germany | Study: InterAct Italy | Study: InterAct Netherlands | Study: InterAct Spain | Study: InterAct Sweden | Study: InterAct UK | Study: JPHC | Study: MESA | Study: NHAPC | Study: NOWAC | Study: PRHHP | Study: SMC | Study: SMHS | Study: SUN Cohort Study | Study: SWHS | Study: WHI | Study: Whitehall II | Study: Zutphen Elderly Study | Type: clinical research | Type: cohort study