Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels

Harmen H. M. Draisma*, Rene Pool, Michael Kobl, Rick Jansen, Ann-Kristin Petersen, Anika A. M. Vaarhorst, Idil Yet, Toomas Haller, Ayse Demirkan, Tonu Esko, Gu Zhu, Stefan Boehringer, Marian Beekman, Jan Bert van Klinken, Werner Roemisch-Margl, Cornelia Prehn, Jerzy Adamski, Anton J. M. de Craen, Elisabeth M. van Leeuwen, Najaf AminHarish Dharuri, Harm-Jan Westra, Lude Franke, Eco J. C. de Geus, Jouke Jan Hottenga, Gonneke Willemsen, Anjali K. Henders, Grant W. Montgomery, Dale R. Nyholt, John B. Whitfield, Brenda W. Penninx, Tim D. Spector, Andres Metspalu, P. Eline Slagboom, Ko Willems van Dijk, Peter A. C. 't Hoen, Konstantin Strauch, Nicholas G. Martin, Gert-Jan B. van Ommen, Thomas Illig, Jordana T. Bell, Massimo Mangino, Karsten Suhre, Mark I. McCarthy, Christian Gieger, Aaron Isaacs, Cornelia M. van Duijn, Dorret I. Boomsma

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Metabolites are small molecules involved in cellular metabolism, which can be detected in biological samples using metabolomic techniques. Here we present the results of genome-wide association and meta-analyses for variation in the blood serum levels of 129 metabolites as measured by the Biocrates metabolomic platform. In a discovery sample of 7,478 individuals of European descent, we find 4,068 genome-and metabolome-wide significant (Z-test, P

Original languageEnglish
Article number7208
Number of pages9
JournalNature Communications
Volume6
DOIs
Publication statusPublished - Jun-2015

Keywords

  • CORONARY-ARTERY-DISEASE
  • ARGININE BIOAVAILABILITY
  • COMMON VARIANTS
  • LOCI
  • SERUM
  • METAANALYSIS
  • POPULATION
  • SOFTWARE
  • TRAITS
  • RISK

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