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Mapping Metabolomic Quantitative Trait Loci (mQTL): A Link Between Metabolome-Wide Association Studies and Systems Biology

  • Marc-Emmanuel Dumas
  • Dominique Gauguier
Chapter

Abstract

The comprehensive understanding of metabolism in health and disease has reached a new level with the introduction of Metabolome-Wide Association Studies. Quantitative Trait Locus mapping of metabolic phenotypes (mQTL) is a powerful approach to unravel the genetic component associated with metabolic profiles, and typically identifies genes associated with metabolic markers of disease. In this chapter we describe the various stages of the mQTL mapping strategy, which typically involves a genetically heterogeneous cohort, modern genotyping platforms, hypothesis-free metabolic profiling using high-throughput nuclear magnetic resonance (NMR) spectroscopy or mass spectrometry (MS), generating up to 20,000 metabolic traits per sample and the statistical tools required to map these traits onto the genome of this experimental population. Finally we describe network and systems biology strategies enhancing the biological interpretation of haplotype – metabotype association networks derived from mQTL studies for a better understanding of pathophysiological mechanisms.

Keywords

Quantitative Trait Locus Nuclear Magnetic Resonance Metabolic Network Nuclear Magnetic Resonance Spectroscopy Metabolic Phenotype 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The authors acknowledge support from the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement N° HEALTH-F4-2010-241504 (EURATRANS), the ANR (mQTL ANR-08-GENO-030-02) and the Fondation pour la Recherche Médicale. Marc-Emmanuel Dumas holds a Young Investigator Award from Agence Nationale de la Recherche (ANR-07-JCJC-0042-01) Dominique Gauguier holds a Wellcome Trust Senior Fellowship in basic biomedical science (057733).

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Surgery and Cancer, Imperial College LondonLondonUK
  2. 2.INSERM U872, Cordeliers Research CentreParisFrance

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