'Personalized' or 'precision' medicine has been heralded as the next big revolution in healthcare. With the cost of DNA sequencing now low enough for whole genome sequencing (WGS) to be considered a standard diagnostic tool, WGS is expected to replace targeted gene and/or exome sequencing as the default protocol within the next five years. The major bottleneck remains clinical interpretation of the data - identifying the disease-causing variant or variants among thousands of benign or functionally unrelated variants. Here I will introduce a new approach integrating a patient's
phenotype with public 'whole body' gene expression data and sets of known disease annotations to generate patient specific prediction models.