Genome-wide association study identifies multiple loci influencing human serum metabolite levels

Johannes Kettunen, Taru Tukiainen, Antti-Pekka Sarin, Alfredo Ortega-Alonso, Emmi Tikkanen, Leo-Pekka Lyytikäinen, Antti J. Kangas, Pasi Soininen, Peter Würtz, Kaisa Silander, Danielle M. Dick, Richard J. Rose, Markku J. Savolainen, Jorma Viikari, Mika Kähönen, Terho Lehtimäki, Kirsi H. Pietiläinen, Michael Inouye, Mark I. McCarthy, Antti JulaJohan Eriksson, Olli T Raitakari, Veikko Salomaa, Jaakko Kaprio, Marjo-Riitta Järvelin, Leena Peltonen, Markus Perola, Nelson B. Freimer, Mika Ala-Korpela, Aarno Palotie, Samuli Ripatti*

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    392 Citations (Scopus)

    Abstract

    Nuclear magnetic resonance assays allow for measurement of a wide range of metabolic phenotypes. We report here the results of a GWAS on 8,330 Finnish individuals genotyped and imputed at 7.7 million SNPs for a range of 216 serum metabolic phenotypes assessed by NMR of serum samples. We identified significant associations (P < 2.31 - 10 g-10) at 31 loci, including 11 for which there have not been previous reports of associations to a metabolic trait or disorder. Analyses of Finnish twin pairs suggested that the metabolic measures reported here show higher heritability than comparable conventional metabolic phenotypes. In accordance with our expectations, SNPs at the 31 loci associated with individual metabolites account for a greater proportion of the genetic component of trait variance (up to 40%) than is typically observed for conventional serum metabolic phenotypes. The identification of such associations may provide substantial insight into cardiometabolic disorders.

    Original languageEnglish
    Pages (from-to)269-276
    Number of pages8
    JournalNATURE GENETICS
    Volume44
    Issue number3
    DOIs
    Publication statusPublished - Mar 2012
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Dive into the research topics of 'Genome-wide association study identifies multiple loci influencing human serum metabolite levels'. Together they form a unique fingerprint.

    Cite this