Systems and methods for personalized de-risking based on patient genome data

Abstract

The present disclosure describes systems and methods for using patient-specific genomic information to optimize or de-risk therapy for the patient. A user may identify a medication for consideration for prescription to a patient, and a genetic variant of the patient affecting a first protein. An analyzer may identify a second medication targeting the first protein, and may retrieve adverse event data from an adverse event database for patients co-medicated with both the first medication and second medication. The analyzer may determine, based on rates of adverse events, the likelihood of an adverse event occurring through co-medication of the first medication and second medication. Based on the likelihood, and based on a correspondence or non-correspondence between a protein activation characteristic of the first medication and the effect of the genetic variant of the patient, the analyzer may indicate or contra-indicate the first medication for the patient.