A genome-wide association study of metabolic traits in human urine-Reference-Cited by-同舟云学术

A genome-wide association study of metabolic traits in human urine

Published:2011-05-15 Issue:6 Volume:43 Page:565-569
ISSN:1061-4036
Container-title:Nature Genetics
language:en
Short-container-title:Nat Genet

Author:

Suhre Karsten,Wallaschofski Henri,Raffler Johannes,Friedrich Nele,Haring Robin,Michael Kathrin,Wasner Christina,Krebs Alexander,Kronenberg Florian,Chang David,Meisinger Christa,Wichmann H-Erich,Hoffmann Wolfgang,Völzke Henry,Völker Uwe,Teumer Alexander,Biffar Reiner,Kocher Thomas,Felix Stephan B,Illig Thomas,Kroemer Heyo K,Gieger Christian,Römisch-Margl Werner,Nauck Matthias

Publisher

Springer Science and Business Media LLC

Subject

Genetics

Link

http://www.nature.com/articles/ng.837.pdf

Reference35 articles.

1. Gieger, C. et al. Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum. PLoS Genet. 4, e1000282 (2008).

2. Illig, T. et al. A genome-wide perspective of genetic variation in human metabolism. Nat. Genet. 42, 137–141 (2010).

3. Tanaka, T. et al. Genome-wide association study of plasma polyunsaturated fatty acids in the InCHIANTI Study. PLoS Genet. 5, e1000338 (2009).

4. Hicks, A.A. et al. Genetic determinants of circulating sphingolipid concentrations in European populations. PLoS Genet. 5, e1000672 (2009).

5. Weljie, A.M., Newton, J., Mercier, P., Carlson, E. & Slupsky, C.M. Targeted profiling: quantitative analysis of 1H NMR metabolomics data. Anal. Chem. 78, 4430–4442 (2006).

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