Genome-Wide Association Study with Targeted and Non-targeted NMR Metabolomics Identifies 15 Novel Loci of Urinary Human Metabolic Individuality

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Etat: Public
Version: Author's accepted manuscript
ID Serval
serval:BIB_DDB2BC95B9A0
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Genome-Wide Association Study with Targeted and Non-targeted NMR Metabolomics Identifies 15 Novel Loci of Urinary Human Metabolic Individuality
Périodique
Plos Genetics
Auteur(s)
Raffler J., Friedrich N., Arnold M., Kacprowski T., Rueedi R., Altmaier E., Bergmann S., Budde K., Gieger C., Homuth G., Pietzner M., Römisch-Margl W., Strauch K., Völzke H., Waldenberger M., Wallaschofski H., Nauck M., Völker U., Kastenmüller G., Suhre K.
ISSN
1553-7390 (Print)
1553-7404 (Electronic)
ISSN-L
1553-7390
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
11
Numéro
9
Pages
e1005487
Langue
anglais
Notes
Publication types: Research Article ; research-article Identifiant PubMed Central: PMC4564198
Résumé
Genome-wide association studies with metabolic traits (mGWAS) uncovered many genetic variants that influence human metabolism. These genetically influenced metabotypes (GIMs) contribute to our metabolic individuality, our capacity to respond to environmental challenges, and our susceptibility to specific diseases. While metabolic homeostasis in blood is a well investigated topic in large mGWAS with over 150 known loci, metabolic detoxification through urinary excretion has only been addressed by few small mGWAS with only 11 associated loci so far. Here we report the largest mGWAS to date, combining targeted and non-targeted 1H NMR analysis of urine samples from 3,861 participants of the SHIP-0 cohort and 1,691 subjects of the KORA F4 cohort. We identified and replicated 22 loci with significant associations with urinary traits, 15 of which are new (HIBCH, CPS1, AGXT, XYLB, TKT, ETNPPL, SLC6A19, DMGDH, SLC36A2, GLDC, SLC6A13, ACSM3, SLC5A11, PNMT, SLC13A3). Two-thirds of the urinary loci also have a metabolite association in blood. For all but one of the 6 loci where significant associations target the same metabolite in blood and urine, the genetic effects have the same direction in both fluids. In contrast, for the SLC5A11 locus, we found increased levels of myo-inositol in urine whereas mGWAS in blood reported decreased levels for the same genetic variant. This might indicate less effective re-absorption of myo-inositol in the kidneys of carriers. In summary, our study more than doubles the number of known loci that influence urinary phenotypes. It thus allows novel insights into the relationship between blood homeostasis and its regulation through excretion. The newly discovered loci also include variants previously linked to chronic kidney disease (CPS1, SLC6A13), pulmonary hypertension (CPS1), and ischemic stroke (XYLB). By establishing connections from gene to disease via metabolic traits our results provide novel hypotheses about molecular mechanisms involved in the etiology of diseases.
Pubmed
Web of science
Open Access
Oui
Création de la notice
25/07/2016 9:18
Dernière modification de la notice
20/08/2019 17:02
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