Imperial College London

Emeritus ProfessorJeremyNicholson

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Emeritus Professor of Biological Chemistry
 
 
 
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Contact

 

+44 (0)20 7594 3195j.nicholson Website

 
 
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Assistant

 

Ms Wendy Torto +44 (0)20 7594 3225

 
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Location

 

Office no. 665Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hedjazi:2015:10.1021/acs.analchem.5b00145,
author = {Hedjazi, L and Gauguier, D and Zalloua, PA and Nicholson, JK and Dumas, ME and Cazier, JB},
doi = {10.1021/acs.analchem.5b00145},
journal = {Analytical Chemistry},
pages = {4377--4384},
title = {MQTL.NMR: An integrated suite for genetic mapping of quantitative variations of <sup>1</sup>H NMR-based metabolic profiles},
url = {http://dx.doi.org/10.1021/acs.analchem.5b00145},
volume = {87},
year = {2015}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - High-throughput <sup>1</sup>H nuclear magnetic resonance (NMR) is an increasingly popular robust approach for qualitative and quantitative metabolic profiling, which can be used in conjunction with genomic techniques to discover novel genetic associations through metabotype quantitative trait locus (mQTL) mapping. There is therefore a crucial necessity to develop specialized tools for an accurate detection and unbiased interpretability of the genetically determined metabolic signals. Here we introduce and implement a combined chemoinformatic approach for objective and systematic analysis of untargeted <sup>1</sup>H NMR-based metabolic profiles in quantitative genetic contexts. The R/Bioconductor mQTL.NMR package was designed to (i) perform a series of preprocessing steps restoring spectral dependency in collinear NMR data sets to reduce the multiple testing burden, (ii) carry out robust and accurate mQTL mapping in human cohorts as well as in rodent models, (iii) statistically enhance structural assignment of genetically determined metabolites, and (iv) illustrate results with a series of visualization tools. Built-in flexibility and implementation in the powerful R/Bioconductor framework allow key preprocessing steps such as peak alignment, normalization, or dimensionality reduction to be tailored to specific problems. The mQTL.NMR package is freely available with its source code through the Comprehensive R/Bioconductor repository and its own website (http://www.ican-institute.org/tools/). It represents a significant advance to facilitate untargeted metabolomic data processing and quantitative analysis and their genetic mapping.
AU - Hedjazi,L
AU - Gauguier,D
AU - Zalloua,PA
AU - Nicholson,JK
AU - Dumas,ME
AU - Cazier,JB
DO - 10.1021/acs.analchem.5b00145
EP - 4384
PY - 2015///
SN - 0003-2700
SP - 4377
TI - MQTL.NMR: An integrated suite for genetic mapping of quantitative variations of <sup>1</sup>H NMR-based metabolic profiles
T2 - Analytical Chemistry
UR - http://dx.doi.org/10.1021/acs.analchem.5b00145
VL - 87
ER -