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

Harmen H. M. Draisma (), René Pool, Michael Kobl, Rick Jansen, Ann-Kristin Petersen, Anika A. M. Vaarhorst, Idil Yet, Toomas Haller, Ayşe Demirkan, Tõnu Esko, Gu Zhu, Stefan Böhringer, Marian Beekman, Jan Bert van Klinken, Werner Römisch-Margl, Cornelia Prehn, Jerzy Adamski, Anton J. M. de Craen, Elisabeth M. van Leeuwen, Najaf Amin, Harish 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 and Dorret I. Boomsma
Additional contact information
Harmen H. M. Draisma: VU University Amsterdam
René Pool: VU University Amsterdam
Michael Kobl: Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health
Rick Jansen: VU University Medical Center, Neuroscience Campus Amsterdam, VUmc
Ann-Kristin Petersen: Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health
Anika A. M. Vaarhorst: BBMRI-NL: Infrastructure for the Application of Metabolomics Technology in Epidemiology (RP4)
Idil Yet: King's College London
Toomas Haller: Estonian Genome Center, University of Tartu
Ayşe Demirkan: Leiden University Medical Center
Tõnu Esko: Estonian Genome Center, University of Tartu
Gu Zhu: QIMR Berghofer Medical Research Institute
Stefan Böhringer: Leiden University Medical Center
Marian Beekman: Leiden University Medical Center
Jan Bert van Klinken: Leiden University Medical Center
Werner Römisch-Margl: Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München
Cornelia Prehn: Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München
Jerzy Adamski: Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München
Anton J. M. de Craen: Leiden University Medical Center
Elisabeth M. van Leeuwen: Genetic Epidemiology Unit, Erasmus Medical Center
Najaf Amin: Genetic Epidemiology Unit, Erasmus Medical Center
Harish Dharuri: Leiden University Medical Center
Harm-Jan Westra: CB50, University Medical Center Groningen, University of Groningen
Lude Franke: CB50, University Medical Center Groningen, University of Groningen
Eco J. C. de Geus: VU University Amsterdam
Jouke Jan Hottenga: VU University Amsterdam
Gonneke Willemsen: VU University Amsterdam
Anjali K. Henders: QIMR Berghofer Medical Research Institute
Grant W. Montgomery: QIMR Berghofer Medical Research Institute
Dale R. Nyholt: QIMR Berghofer Medical Research Institute
John B. Whitfield: QIMR Berghofer Medical Research Institute
Brenda W. Penninx: The EMGO+ Institute for Health and Care Research
Tim D. Spector: King's College London
Andres Metspalu: Estonian Genome Center, University of Tartu
P. Eline Slagboom: BBMRI-NL: Infrastructure for the Application of Metabolomics Technology in Epidemiology (RP4)
Ko Willems van Dijk: Leiden University Medical Center
Peter A. C. ‘t Hoen: Leiden University Medical Center
Konstantin Strauch: Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health
Nicholas G. Martin: QIMR Berghofer Medical Research Institute
Gert-Jan B. van Ommen: Leiden University Medical Center
Thomas Illig: Research Unit of Molecular Epidemiology, Helmholtz Zentrum München
Jordana T. Bell: King's College London
Massimo Mangino: King's College London
Karsten Suhre: Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München
Mark I. McCarthy: Wellcome Trust Centre for Human Genetics, University of Oxford
Christian Gieger: Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health
Aaron Isaacs: Genetic Epidemiology Unit, Erasmus Medical Center
Cornelia M. van Duijn: BBMRI-NL: Infrastructure for the Application of Metabolomics Technology in Epidemiology (RP4)
Dorret I. Boomsma: VU University Amsterdam

Nature Communications, 2015, vol. 6, issue 1, 1-9

Abstract: 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

Date: 2015
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DOI: 10.1038/ncomms8208

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