Fig. 2

Multivariant data analysis of LC/MS-derived metabolomics data using the patient CYP2D6 phenotype. Urinary metabolomics data was subjected to unsupervised PCA-X data analysis using the patient phenotype as a classifier (a). Normal metabolizer (NM), intermediate metabolizer (IM), and ultra-rapid metabolizer (UM) phenotypes are denoted in black, red, and green, respectively. Scores scatter plot of supervised orthogonal projection to latent structure discriminant analysis (OPLS-DA) model using patient phenotype shows group clustering by phenotype (b). All data were normalized to urine creatinine abundance