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Jäger, Susanne; Wahl, Simone; Kröger, Janine; Sharma, Sapna; Hoffmann, Per; Floegel, Anna; Pischon, Tobias; Prehn, Cornelia; Adamski, Jerzy; Müller-Nurasyid, Martina; Waldenberger, Melanie; Strauch, Konstantin; Peters, Annette; Gieger, Christian; Suhre, Karsten; Grallert, Harald; Boeing, Heiner; Schulze, Matthias B.; Meidtner, Karina

Genetic variants including markers from the exome chip and metabolite traits of type 2 diabetes

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  • Medientyp: E-Artikel
  • Titel: Genetic variants including markers from the exome chip and metabolite traits of type 2 diabetes
  • Beteiligte: Jäger, Susanne; Wahl, Simone; Kröger, Janine; Sharma, Sapna; Hoffmann, Per; Floegel, Anna; Pischon, Tobias; Prehn, Cornelia; Adamski, Jerzy; Müller-Nurasyid, Martina; Waldenberger, Melanie; Strauch, Konstantin; Peters, Annette; Gieger, Christian; Suhre, Karsten; Grallert, Harald; Boeing, Heiner; Schulze, Matthias B.; Meidtner, Karina
  • Erschienen: Springer Science and Business Media LLC, 2017
  • Erschienen in: Scientific Reports
  • Sprache: Englisch
  • DOI: 10.1038/s41598-017-06158-3
  • ISSN: 2045-2322
  • Schlagwörter: Multidisciplinary
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>Diabetes-associated metabolites may aid the identification of new risk variants for type 2 diabetes. Using targeted metabolomics within a subsample of the German EPIC-Potsdam study (n = 2500), we tested previously published SNPs for their association with diabetes-associated metabolites and conducted an additional exploratory analysis using data from the exome chip including replication within 2,692 individuals from the German KORA F4 study. We identified a total of 16 loci associated with diabetes-related metabolite traits, including one novel association between rs499974 (<jats:italic>MOGAT2</jats:italic>) and a diacyl-phosphatidylcholine ratio (PC aa C40:5/PC aa C38:5). Gene-based tests on all exome chip variants revealed associations between <jats:italic>GFRAL</jats:italic> and PC aa C42:1/PC aa C42:0, <jats:italic>BIN1</jats:italic> and SM (OH) C22:2/SM C18:0 and <jats:italic>TFRC</jats:italic> and SM (OH) C22:2/SM C16:1). Selecting variants for gene-based tests based on functional annotation identified one additional association between <jats:italic>OR51Q1</jats:italic> and hexoses. Among single genetic variants consistently associated with diabetes-related metabolites, two (rs174550 (<jats:italic>FADS1</jats:italic>), rs3204953 (<jats:italic>REV3L</jats:italic>)) were significantly associated with type 2 diabetes in large-scale meta-analysis for type 2 diabetes. In conclusion, we identified a novel metabolite locus in single variant analyses and four genes within gene-based tests and confirmed two previously known mGWAS loci which might be relevant for the risk of type 2 diabetes.</jats:p>
  • Zugangsstatus: Freier Zugang