%0 Journal Article
%T On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies
%A Ann-Kristin Petersen
%A Jan Krumsiek
%A Brigitte W£¿gele
%A Fabian J Theis
%A H.-Erich Wichmann
%A Christian Gieger
%A Karsten Suhre
%J BMC Bioinformatics
%D 2012
%I BioMed Central
%R 10.1186/1471-2105-13-120
%X Here we explore the statistical properties of the p-gain through simulation of its density and by sampling of experimental data. We derive critical values of the p-gain for different levels of correlation between metabolite pairs and show that B/(2*¦Á) is a conservative critical value for the p-gain, where ¦Á is the level of significance and B the number of tested metabolite pairs.We show that the p-gain is a well defined measure that can be used to identify statistically significant metabolite ratios in association studies and provide a conservative significance cut-off for the p-gain for use in future association studies with metabolic traits.
%K p-gain
%K Metabolomics
%K MWAS
%K GWAS
%K Genome-wide association studies
%K Metabolome-wide association studies
%U http://www.biomedcentral.com/1471-2105/13/120/abstract