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Updated: May 29, 2026
05:53
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Disease gene interaction pathways: a potential framework for how disease genes associate by disease-risk modules
Lina Chen1, Wan Li, Liangcai Zhang
1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Hei Longjiang Province, China. chenlina@ems.hrbmu.edu.cn
Plos One
|September 15, 2011
Summary
Complex disease genes cooperate through shared biological functions and pathways. Our novel method identifies these gene interaction pathways, offering insights into disease mechanisms.
Area of Science:
- Genomics
- Systems Biology
- Bioinformatics
Background:
- Cooperative interactions of disease genes are vital in complex diseases.
- Traditional methods struggle to represent direct biological evidence of gene associations.
- Molecular networks offer a promising framework for understanding gene interactions.
Purpose of the Study:
- To propose a novel paradigm for representing and analyzing disease gene interactions.
- To identify disease gene interaction pathways within molecular networks.
Main Methods:
- Hypothesized disease gene associations via biological module interactions in molecular networks.
- Developed a new representation and analysis paradigm for disease gene interaction pathways.
- Identified pathways for 61 coronary artery disease (CAD) genes, involving 46 modules and 182 relationships.
Main Results:
- Disease genes associate through shared biological functions and pathways.
- Identified specific interaction pathways for coronary artery disease genes.
- Demonstrated that disease genes interact via functional modules within molecular networks.
Conclusions:
- Disease genes interact cooperatively through shared pathways of disease-risk modules.
- The developed paradigm successfully identifies disease gene interaction pathways.
- This approach provides a promising method for studying complex diseases and their pathogenesis.
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