SYSTEM AND METHOD FOR POLYGENIC PHENOTYPIC TRAIT PREDISPOSITION ASSESSMENT USING A COMBINATION OF DYNAMIC NETWORK ANALYSIS AND MACHINE LEARNING

摘要

A method and system comprising receiving genetic and non-genetic data of an individual, calculating a trait predisposition score for the individual, organizing a knowledge base repository using dynamic network analysis of a plurality of genetic variants and of a plurality of phenotypic traits into a heterogeneous knowledge network model, assessing regulatory, catalytic or inhibitory utility of genetic factors by determining existence of said genetic factors within biological pathways, calibrating the phenotypic trait predisposition score for the individual using a machine learning analysis that relates the plurality of genetic variations to the plurality of phenotypic traits, calibrating the heterogeneous knowledge network model using the genetic data and the non-genetic data.