SYSTEM AND METHOD FOR MANAGING GENOMIC INFORMATION
A system for managing genomic information includes a processor to collect and store biomarker data, receive and store patient-specific pathology information, generate a graph-based data structure of complex data elements arranged into a walkable graph representation that includes at least one of a disease alteration group association (DAGA) element representing a relationship between a disease and an alteration group (AG), at least one of a disease therapy association (DTA) element representing a relationship between a disease and a therapy for treating the disease, and a therapy genomic effect (TGE) element representing a relationship between a gene and a known effect of a therapy on the gene. The processor follows links in the walkable graph representation to determine at least one inferred path, generates inferential matches to actionable items based on an accumulated trust score of the at least one inferred path, and determines a treatment decision for a cancer patient.
1 . A system for managing delivery of genomic information for a cancer patient, the system comprising:
at least one processor operatively connected to a memory, the at least one processor when executing is configured to:
collect biomarker data and store the biomarker data in the memory;
receive patient-specific pathology information relating to the cancer patient and storing the patient-specific pathology information in the memory;
generate a graph-based data structure comprising a plurality of complex data elements arranged by the system into a walkable graph representation that comprises:
at least one of a disease alteration group association (DAGA) element representing a relationship between a disease and an alteration group (AG) that defines a unique set of clinically relevant biomarker data;
at least one of a disease therapy association (DTA) element representing a relationship between a disease and a therapy for treating the disease; and
a therapy genomic effect (TGE) element representing a relationship between a gene and a known effect of a therapy on the gene;
traverse the walkable graph representation by following links between biomarker data, patient-specific pathology information, DAGA elements, DTA elements, and TGE elements to determine at least one inferred path through the graph-based data structure;
generate, from the at least one inferred path, inferential matches to actionable items, available to the cancer patient and stored in the graph-based data structure, based on an accumulated trust score of the at least one inferred path and the traversed relationship associations for a current selection of biomarker data or a current selection of patient-specific pathology information; and
determine, based on the inferential matches to actionable items, the accumulated trust score of the at least one inferred path, and the traversed relationship associations, a treatment decision for the cancer patient.