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Updated: Jul 11, 2025

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
Published on: November 3, 2010
Learning gene networks under SNP perturbation using SNP and allele-specific expression data
1Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA 15213, United States of America.
We developed CiTruss, a new method to reconstruct gene networks by analyzing genetic variants (eQTLs) that affect gene expression. This approach reveals local and global network structures, offering insights into gene regulation and genetic diversity.
Area of Science:
- Genomics
- Systems Biology
- Statistical Genetics
Background:
- Allele-specific expression (ASE) analysis using RNA-seq data helps understand gene regulatory networks influenced by genetic variants.
- Existing methods often focus on single-gene/SNP association for expression quantitative trait loci (eQTLs), limiting network-level interpretation.
Conclusions:
- CiTruss provides a novel approach to inferring gene regulatory networks from eQTL data.
- The identified local and global network structures offer new insights into the complex genetics of gene regulation.
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