A systems biology approach for identifying novel pathway regulators in eQTL mapping

Area of Science:

• Systems Biology
• Genetics
• Bioinformatics

Background:

• Expression quantitative trait loci (eQTL) mapping is crucial for understanding gene regulation and networks linked to complex traits.
• Current methods may not fully capture pathway-level regulatory mechanisms.

Purpose of the Study:

• To develop a systems biology framework for eQTL mapping that incorporates prior pathway information.
• To identify novel pathway regulators and hotspots mediating gene expression changes within biological pathways.

Main Methods:

• A multivariate response model was developed to assess joint expression variation across genotype categories at a specific locus.
• Prior biological pathway information was integrated into the eQTL mapping framework.
• The approach was validated using a yeast dataset.

Main Results:

• The proposed method successfully identified significant pathway regulators.
• Key gene regulation hotspots within pathways were detected.
• The framework demonstrated effectiveness in analyzing pathway-level gene regulation.

Conclusions:

• The integrated systems biology approach enhances the identification of gene regulatory elements.
• This method offers a powerful tool for dissecting gene regulation at the pathway level.
• The findings contribute to a deeper understanding of genetic architecture underlying complex phenotypes.