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Published on: July 1, 2020
An Exploratory Application of Multilayer Networks and Pathway Analysis in Pharmacogenomics
Marianna Milano1,2, Giuseppe Agapito2,3, Mario Cannataro2,4
1Department of Experimental and Clinical Medicine, University Magna Græcia of Catanzaro, 88100 Catanzaro, Italy.
Network analysis of multilayer networks reveals key genes involved in drug response. Pathway enrichment analysis identified biological pathways affected by these genes, offering insights into drug reactions.
Area of Science:
- Pharmacogenomics
- Systems Biology
- Computational Biology
Background:
- Complex systems analysis benefits from network approaches.
- Multilayer networks model intricate interactions effectively.
- Pharmacogenomics integrates genetic information with drug action.
Purpose of the Study:
- To model omics, disease, and drug data using multilayer networks.
- To identify key genes and biological pathways related to drug response and adverse reactions.
- To apply network analysis and pathway enrichment analysis to pharmacogenomic data.
Main Methods:
- Constructed a multilayer network integrating omics, disease, and drug data.
- Applied community detection algorithms to identify significant gene clusters (communities).
- Performed pathway enrichment analysis (PEA) on genes within top communities.
Main Results:
- Identified top communities within the multilayer network.
- The genes in the top community exhibit diverse roles across multiple biological pathways.
- Uncovered complex relationships between genes, drugs, and diseases.
Conclusions:
- Multilayer network analysis is a powerful tool for pharmacogenomic research.
- Identified key genes and pathways offer insights into drug response and adverse reactions.
- The study highlights the multifaceted roles of genes in biological pathways relevant to drug action.
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