Human metabolic profiles are stably controlled by genetic and environmental variation

Molecular Systems Biology

Nicholson, George¹  Rantalainen, Mattias¹  Maher, Anthony D⁴  Li, Jia V⁴  Malmodin, Daniel⁹  Ahmadi, Kourosh R⁶  Faber, Johan H⁹  Hallgrímsdóttir, Ingileif B¹  Barrett, Amy⁸  Toft, Henrik⁹  Krestyaninova, Maria²  Viksna, Juris⁵  Neogi, Sudeshna Guha⁷  Dumas, Marc𠄎mmanuel⁴  Sarkans, Ugis²  Silverman, Bernard W¹  Donnelly, Peter¹  Nicholson, Jeremy K⁴  Allen, Maxine⁸  Zondervan, Krina T³  Lindon, John C⁴  Spector, Tim D⁶  McCarthy, Mark I⁸  Holmes, Elaine⁴  Baunsgaard, Dorrit⁹  Holmes, Chris C¹ 

[1] Department of Statistics, University of Oxford Oxford UK;European Bioinformatics Institute, Wellcome Trust Genome Campus Hinxton Cambridge UK;Wellcome Trust Centre for Human Genetics, University of Oxford Oxford UK;Biomolecular Medicine, Department of Surgery and Cancer, Imperial College London South Kensington London UK;Institute of Mathematics and Computer Science Riga Latvia;Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Hospital Campus London UK;NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Level‐4, Addenbrooke's Hospital Cambridge UK;Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford Oxford UK;Novo Nordisk A/S, Novo Nordisk Park Måløv Denmark

关键词: biomarker;    1H nuclear magnetic resonance spectroscopy;    metabolome‐wide association study;    top‐down systems biology;    variance decomposition;   

DOI  :  10.1038/msb.2011.57

来源: Wiley

【 摘 要 】

¹H Nuclear Magnetic Resonance spectroscopy (¹H NMR) is increasingly used to measure metabolite concentrations in sets of biological samples for top-down systems biology and molecular epidemiology. For such purposes, knowledge of the sources of human variation in metabolite concentrations is valuable, but currently sparse. We conducted and analysed a study to create such a resource. In our unique design, identical and non-identical twin pairs donated plasma and urine samples longitudinally. We acquired ¹H NMR spectra on the samples, and statistically decomposed variation in metabolite concentration into familial (genetic and common-environmental), individual-environmental, and longitudinally unstable components. We estimate that stable variation,

【 授权许可】

CC BY-NC-SA   
Copyright © 2011 EMBO and Macmillan Publishers Limited

Creative Commons Attribution License, which permits distribution, and reproduction in any medium, provided the original author and source are credited. This license does not permit commercial exploitation without specific permission.