Candidate gene prioritization for chronic obstructive pulmonary disease using expression information in protein-protein interaction networks.

ABSTRACT:

Background

Identifying or prioritizing genes for chronic obstructive pulmonary disease (COPD), one type of complex disease, is particularly important for its prevention and treatment.

Methods

In this paper, a novel method was proposed to Prioritize genes using Expression information in Protein-protein interaction networks with disease risks transferred between genes (abbreviated as PEP). A weighted COPD PPI network was constructed using expression information and then COPD candidate genes were prioritized based on their corresponding disease risk scores in descending order.

Results

Further analysis demonstrated that the PEP method was robust in prioritizing disease candidate genes, and superior to other existing prioritization methods exploiting either topological or

SUBMITTER: Li W 

PROVIDER: S-EPMC8418003 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature