NSPA: characterizing the disease association of multiple genetic interactions at single-subject resolution.

ABSTRACT:

Motivation

The interaction between genetic variables is one of the major barriers to characterizing the genetic architecture of complex traits. To consider epistasis, network science approaches are increasingly being used in research to elucidate the genetic architecture of complex diseases. Network science approaches associate genetic variables' disease susceptibility to their topological importance in the network. However, this network only represents genetic interactions and does not describe how these interactions attribute to disease association at the subject-scale. We propose the Network-based Subject Portrait Approach (NSPA) and an accompanying feature transformation method to determine the collective risk impact of multiple genetic interactions for each subject.

Results

SUBMITTER: Sha Z 

PROVIDER: S-EPMC9927570 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature