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Illig, T. ; Gieger, C. ; Zhai, G.J.* ; Römisch-Margl, W. ; Wang-Sattler, R. ; Prehn, C. ; Altmaier, E. ; Kastenmüller, G. ; Kato, B.S.* ; Mewes, H.-W. ; Meitinger, T. ; Hrabě de Angelis, M. ; Kronenberg, F.* ; Soranzo, N.* ; Wichmann, H.-E. ; Spector, T.D.* ; Adamski, J. ; Suhre, K.

A genome-wide perspective of genetic variation in human metabolism.

Nat. Genet. 42, 137-141 (2010)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Serum metabolite concentrations provide a direct readout of biological processes in the human body, and they are associated with disorders such as cardiovascular and metabolic diseases. We present a genome-wide association study (GWAS) of 163 metabolic traits measured in human blood from 1,809 participants from the KORA population, with replication in 422 participants of the TwinsUK cohort. For eight out of nine replicated loci (FADS1, ELOVL2, ACADS, ACADM, ACADL, SPTLC3, ETFDH and SLC16A9), the genetic variant is located in or near genes encoding enzymes or solute carriers whose functions match the associating metabolic traits. In our study, the use of metabolite concentration ratios as proxies for enzymatic reaction rates reduced the variance and yielded robust statistical associations with P values ranging from 3 x 10(-24) to 6.5 x 10(-179). These loci explained 5.6%-36.3% of the observed variance in metabolite concentrations. For several loci, associations with clinically relevant parameters have been reported previously.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Fasting glucose; Population; Loci; Association; Disease; Variants; Risk; Metabolomics; Polymorphism; Frequency
ISSN (print) / ISBN 1061-4036
e-ISSN 1546-1718
Zeitschrift Nature Genetics
Quellenangaben Band: 42, Heft: 2, Seiten: 137-141 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Verlagsort New York, NY
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Bioinformatics and Systems Biology (IBIS)
Institute of Experimental Genetics (IEG)
Institute of Epidemiology (EPI)
Molekulare Endokrinologie und Metabolismus (MEM)
Institute of Human Genetics (IHG)