Human metabolic profiles are stably controlled by genetic and environmental variation-Reference-Cited by-同舟云学术

Human metabolic profiles are stably controlled by genetic and environmental variation

Published:2011-01 Issue:1 Volume:7 Page:525
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Nicholson George¹,Rantalainen Mattias¹,Maher Anthony D²³,Li Jia V²,Malmodin Daniel⁴,Ahmadi Kourosh R⁵,Faber Johan H⁴,Hallgrímsdóttir Ingileif B¹,Barrett Amy⁶,Toft Henrik⁴,Krestyaninova Maria⁷,Viksna Juris⁸,Neogi Sudeshna Guha⁹,Dumas Marc‐Emmanuel²,Sarkans Ugis⁷,Silverman Bernard W¹¹⁰,Donnelly Peter¹¹⁰,Nicholson Jeremy K²,Allen Maxine⁶,Zondervan Krina T¹⁰,Lindon John C²,Spector Tim D⁵,McCarthy Mark I⁶¹⁰,Holmes Elaine²,Baunsgaard Dorrit⁴,Holmes Chris C¹,

Affiliation:

1. Department of Statistics, University of Oxford Oxford UK

2. Biomolecular Medicine, Department of Surgery and Cancer, Imperial College London South Kensington London UK

3. Biosciences Research Division, Department of Primary Industries Bundoora Victoria Australia

4. Novo Nordisk A/S, Novo Nordisk Park Måløv Denmark

5. Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Hospital Campus London UK

6. Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford Oxford UK

7. European Bioinformatics Institute, Wellcome Trust Genome Campus Hinxton Cambridge UK

8. Institute of Mathematics and Computer Science Riga Latvia

9. NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Level‐4, Addenbrooke's Hospital Cambridge UK

10. Wellcome Trust Centre for Human Genetics, University of Oxford Oxford UK

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1038/msb.2011.57

Reference65 articles.

1. Critical evaluation of 1H NMR metabonomics of serum as a methodology for disease risk assessment and diagnostics

2. Evidence of different metabolic phenotypes in humans

3. Heritability of biochemical kidney markers and relation to survival in the elderly—results from a Danish population-based twin study

4. NMR-based metabonomic approaches for evaluating physiological influences on biofluid composition

5. Metabolic Profiling and the Metabolome-Wide Association Study: Significance Level For Biomarker Identification

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