Distinct Network Patterns Emerge from Cartesian and XOR Epistasis Models: A Comparative Network Science Analysis
Zhendong Sha1, Philip J Freda2, Priyanka Bhandary2
1School of Computing, Queen's University, 557 Goodwin Hall, 21-25 Union St, Kingston, Ontario, K7L 2N8, Canada.
Research Square
|June 3, 2024
Summary
The exclusive-or (XOR) model detects more gene interactions than the Cartesian model, revealing complex biological functions and higher-order epistasis. Network science enhances epistasis detection and understanding of genetic architectures for complex traits.
Area of Science:
- Genetics and Genomics
- Systems Biology
- Bioinformatics
Background:
- Epistasis, gene interactions modifying trait expression, is crucial for complex traits.
- Traditional Cartesian (multiplicative) models detect limited epistasis.
- The exclusive-or (XOR) model reveals more interactions and biological relevance in obesity traits.
Purpose of the Study:
- To compare Cartesian and XOR interaction models for detecting epistasis.
- To explore distinct epistatic networks generated by different models using network science.
- To investigate genetic interactions underlying Body Mass Index (BMI) in rats.
Main Methods:
- Comparative network analysis of Cartesian and XOR interaction models in rats (Rattus norvegicus).
- Network topology analysis to identify distinct characteristics.
- Enrichment analysis of network communities and identification of network motifs.
Main Results:
- XOR-derived networks show enhanced sensitivity to epistatic interactions.
- Identification of network communities in XOR networks reveals novel trait-related biological functions.
- Triangle network motifs in XOR networks suggest higher-order epistasis.
Conclusions:
- The XOR model uncovers meaningful biological associations and higher-order epistasis.
- Network science enhances epistasis detection and provides nuanced understanding of genetic architectures.
- Distinct network structures aid in discovering novel genetic pathways and phenotype-genotype relationships.
Keywords:
XORcommunity detectionepistasishigher-order interactionsinteraction modelnetwork analysisnetwork scienceMore Related Videos
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