A personalized pharmaco-epistatic network model of precision medicine

Precision medicine, the utilization of targeted treatments to address an individual's disease, relies on knowledge about the genetic cause of that individual's drug response. Here, we present a functional graph (FunGraph) theory to chart comprehensive pharmacogenetic architecture for each and every patient. FunGraph is the combination of functional mapping - a dynamic model for genetic mapping and evolutionary game theory guiding interactive strategies. It coalesces all pharmacogenetic factors into multilayer and multiplex networks that fully capture bidirectional, signed and weighted epistasis. It can visualize and interrogate how epistasis moves in the cell and how this movement leads to patient-and context-specific genetic architecture in response to organismic physiology. We discuss the future implementation of FunGraph to achieve precision medicine.

Automated summary

Precision medicine relies on understanding the genetic causes of an individual's drug response. The functional graph (FunGraph) theory presented here combines functional mapping and evolutionary game theory to chart comprehensive pharmacogenetic architecture for each patient. FunGraph visualizes and investigates the movement of epistasis in cells and how it relates to patient-specific genetic architecture in response to organismic physiology. The future implementation of FunGraph for precision medicine is discussed.