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Draisma, H.H.* ; Pool, R.* ; Kobl, M. ; Jansen, R.C.* ; Petersen, A.-K. ; Vaarhorst, A.A.* ; Yet, I.* ; Haller, T.* ; Demirkan, A.* ; Esko, T.* ; Zhu, G.* ; Böhringer, S.* ; Beekman, M.* ; van Klinken, J.B.* ; Römisch-Margl, W. ; Prehn, C. ; Adamski, J. ; de Craen, A.J.* ; van Leeuwen, E.M.* ; Amin, N.* ; Dharuri, H.* ; Westra, H.J.* ; Franke, L.* ; de Geus, E.J.* ; Hottenga, J.J.* ; Willemsen, G.* ; Henders, A.K.* ; Montgomery, G.W.* ; Nyholt, D.R.* ; Whitfield, J.B.* ; Penninx, B.W.* ; Spector, T.D.* ; Metspalu, A.* ; Slagboom, P.E.* ; van Dijk, K.W.* ; 't Hoen, P.A.* ; Strauch, K. ; Martin, N.G.* ; van Ommen, G.J.* ; Illig, T. ; Bell, J.T.* ; Mangino, M.* ; Suhre, K. ; McCarthy, M.I.* ; Gieger, C. ; Isaacs, A.* ; van Duijn, C.M.* ; Boomsma, D.I.*

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

Nat. Commun. 6:7208 (2015)

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Open Access Gold as soon as Publ. Version/Full Text is submitted to ZB.

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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<1.09 × 10(-9)) associations between single-nucleotide polymorphisms (SNPs) and metabolites, involving 59 independent SNPs and 85 metabolites. Five of the fifty-nine independent SNPs are new for serum metabolite levels, and were followed-up for replication in an independent sample (N=1,182). The novel SNPs are located in or near genes encoding metabolite transporter proteins or enzymes (SLC22A16, ARG1, AGPS and ACSL1) that have demonstrated biomedical or pharmaceutical importance. The further characterization of genetic influences on metabolic phenotypes is important for progress in biological and medical research.

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Publication type Article: Journal article

Document type Scientific Article

Corresponding Author

Keywords Coronary-artery-disease; Arginine Bioavailability; Common Variants; Loci; Serum; Metaanalysis; Population; Software; Traits; Risk

ISSN (print) / ISBN 2041-1723

e-ISSN 2041-1723

Journal Nature Communications

Quellenangaben Volume: 6, Article Number: 7208

Publisher Nature Publishing Group

Publishing Place London

Non-patent literature Publications

Reviewing status Peer reviewed

Institute(s) Institute of Genetic Epidemiology (IGE)
Institute of Bioinformatics and Systems Biology (IBIS)
Institute of Epidemiology II (EPI2)
Molekulare Endokrinologie und Metabolismus (MEM)
Institute of Experimental Genetics (IEG)