Open Access Highly Accessed Research article

On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies

Ann-Kristin Petersen1, Jan Krumsiek2, Brigitte Wägele23, Fabian J Theis2, H-Erich Wichmann456, Christian Gieger1 and Karsten Suhre278*

Author Affiliations

1 Institute of Genetic Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany

2 Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany

3 Department of Genome-oriented Bioinformatics, Life and Food Science Center Weihenstephan, Technische Universität München, Freising, Germany

4 Institute of Epidemiology I, Helmholtz Zentrum München, Neuherberg, Germany

5 Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universität, München, Germany

6 Klinikum Grosshadern, Munich, Germany

7 Faculty of Biology, Ludwig-Maximilians-Universität, Planegg-Martinsried, Germany

8 Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Education City - Qatar Foundation, Doha, Qatar

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BMC Bioinformatics 2012, 13:120  doi:10.1186/1471-2105-13-120

Published: 6 June 2012

Additional files

Additional file 1:

Supplementary Figure S1 and Tables S1-S3.This file contains supplementary information.

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Additional file 2:

R-script for simulation of the distribution of the p-gain.This file contains supplementary information.

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