Gene gravity-like algorithm for disease gene prediction based on phenotype-specific network.

ABSTRACT:

Background

Polygenic diseases are usually caused by the dysfunction of multiple genes. Unravelling such disease genes is crucial to fully understand the genetic landscape of diseases on molecular level. With the advent of 'omic' data era, network-based methods have prominently boosted disease gene discovery. However, how to make better use of different types of data for the prediction of disease genes remains a challenge.

Results

In this study, we improved the performance of disease gene prediction by integrating the similarity of disease phenotype, biological function and network topology. First, for each phenotype, a phenotype-specific network was specially constructed by mapping phenotype similarity information of given phenotype onto the protein-protein interaction (PPI)

SUBMITTER: Lin L 

PROVIDER: S-EPMC5718078 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature