Genome-wide association study identifies multiple loci influencing human serum metabolite levels
AuthorKettunen, J; Tukiainen, T; Sarin, A-P; Ortega-Alonso, A; Tikkanen, E; Lyytikainen, L-P; Kangas, AJ; Soininen, P; Wuertz, P; Silander, K; ...
Source TitleNATURE GENETICS
PublisherNATURE PUBLISHING GROUP
University of Melbourne Author/sInouye, Michael
AffiliationMedical Biology (W.E.H.I.)
Document TypeJournal Article
CitationsKettunen, J., Tukiainen, T., Sarin, A. -P., Ortega-Alonso, A., Tikkanen, E., Lyytikainen, L. -P., Kangas, A. J., Soininen, P., Wuertz, P., Silander, K., Dick, D. M., Rose, R. J., Savolainen, M. J., Viikari, J., Kahonen, M., Lehtimaki, T., Pietilainen, K. H., Inouye, M., McCarthy, M. I. ,... Ripatti, S. (2012). Genome-wide association study identifies multiple loci influencing human serum metabolite levels. NATURE GENETICS, 44 (3), pp.269-U65. https://doi.org/10.1038/ng.1073.
Access StatusAccess this item via the Open Access location
Open Access at PMChttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605033
C1 - Journal Articles Refereed
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(-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.
KeywordsMedical Biochemistry: Amino Acids and Metabolites; Genomics; Expanding Knowledge in the Biological Sciences
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