Originalartikel | erschienen - Druck | peer reviewed
A genome-wide association study of metabolic traits in human urine.
NATURE GENETICS
2011 ;
43(6):
565 - 569
Autoren
Suhre K*, Wallaschofski H, Raffler J, Friedrich N, Haring R, Michael K, Wasner C, Krebs A, Kronenberg F, Chang D, Meisinger C, Wichmann H, Hoffmann W, Völzke H, Völker U, Teumer A, Biffar R, Kocher T, Felix S, Illig T, Kroemer H, Gieger C, Römisch-Margl W, Nauck M
Beteiligte Einrichtungen
Zentrum für Innere Medizin / Klinik für Innere Medizin B
Zentrum für Zahn-, Mund- und Kieferheilkunde / Poliklinik für Zahnärztliche Prothetik, Alterszahnheilkunde und Medizinische Werkstoffkunde
Institut für Pharmakologie / Abt. Allgemeine Pharmakologie
Institut für Klinische Chemie und Laboratoriumsmedizin
Institut für Community Medicine / Abt. Versorgungsepidemiologie und Community Health
Institut für Community Medicine / Abt. SHIP KEF
Interfakultäres Institut für Genetik und Funktionelle Genomforschung / Abt. Funktionelle Genomforschung
Abstract
We present a genome-wide association study of metabolic traits in human urine, designed to investigate the detoxification capacity of the human body. Using NMR spectroscopy, we tested for associations between 59 metabolites in urine from 862 male participants in the population-based SHIP study. We replicated the results using 1,039 additional samples of the same study, including a 5-year follow-up, and 992 samples from the independent KORA study. We report five loci with joint P values of association from 3.2 × 10(-19) to 2.1 × 10(-182). Variants at three of these loci have previously been linked with important clinical outcomes: SLC7A9 is a risk locus for chronic kidney disease, NAT2 for coronary artery disease and genotype-dependent response to drug toxicity, and SLC6A20 for iminoglycinuria. Moreover, we identify rs37369 in AGXT2 as the genetic basis of hyper-?-aminoisobutyric aciduria.
Veröffentlicht in
NATURE GENETICS
| Jahr | 2011 |
| Impact Factor (2011) | 35,532 |
| Volume | 43 |
| Issue | 6 |
| Seiten | 565 - 569 |
| Open Access | nein |
| Peer reviewed | ja |
| Artikelart | Originalartikel |
| Artikelstatus | erschienen - Druck |
| DOI | 10.1038/ng.837 |
| PubMed-ID | 21572414 |
Allgemeine Daten zur Fachzeitschrift
Kurzbezeichnung: NAT GENET
ISSN: 1061-4036
eISSN: 1546-1718
Land: USA
Sprache: English
Kategorie(n):
Impact Factor Entwicklung
ISSN: 1061-4036
eISSN: 1546-1718
Land: USA
Sprache: English
Kategorie(n):
- ENDOCRINOLOGY & METABOLISM
Impact Factor Entwicklung
| Jahr | Impact Factor |
|---|---|
| 2008 | 30,259 |
| 2009 | 34,284 |
| 2010 | 36,377 |
| 2011 | 35,532 |
| 2012 | 35,209 |
| 2013 | 29,648 |
| 2014 | 29,352 |
| 2015 | 31,616 |
| 2016 | 27,959 |
| 2017 | 27,125 |
| 2018 | 25,455 |
| 2019 | 27,603 |
| 2020 | 38,33 |
| 2021 | 41,307 |
| 2022 | 30,8 |
| 2023 | 31,7 |
| 2024 | 29 |
Projekte
GANI_MED Greifswald Approach to Individualized Medicine (Projektverbund)
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