Epigenome-wide association study of incident type 2 diabetes: a meta-analysis of five prospective European cohorts

Aims/hypothesis Type 2 diabetes is a complex metabolic disease with increasing prevalence worldwide. Improving the prediction of incident type 2 diabetes using epigenetic markers could help tailor prevention efforts to those at the highest risk. The aim of this study was to identify predictive methy...

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Bibliographic Details
Published in:	Diabetologia 2022-05, Vol.65 (5), p.763-776
Main Authors:	Fraszczyk, Eliza, Spijkerman, Annemieke M. W., Zhang, Yan, Brandmaier, Stefan, Day, Felix R., Zhou, Li, Wackers, Paul, Dollé, Martijn E. T., Bloks, Vincent W., Gào, Xīn, Gieger, Christian, Kooner, Jaspal, Kriebel, Jennifer, Picavet, H. Susan J., Rathmann, Wolfgang, Schöttker, Ben, Loh, Marie, Verschuren, W. M. Monique, van Vliet-Ostaptchouk, Jana V., Wareham, Nicholas J., Chambers, John C., Ong, Ken K., Grallert, Harald, Brenner, Hermann, Luijten, Mirjam, Snieder, Harold
Format:	Article
Language:	English
Subjects:	CpG islands CpG Islands - genetics Diabetes Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - epidemiology Diabetes Mellitus, Type 2 - genetics DNA methylation DNA Methylation - genetics Epigenesis, Genetic - genetics Epigenetics Epigenome Gene set enrichment analysis Genome-Wide Association Study Genomes Homeostasis Human Physiology Humans Insulin Internal Medicine Medicine Medicine & Public Health Meta-analysis Metabolic Diseases Metabolic disorders Prediction models Prospective Studies
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