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An interaction quantitative trait loci tool implicates epistatic functional variants in an apoptosis pathway in
C A Lareau1, B C White2, A L Oberg3
1Department of Biostatistics, Harvard University, Cambridge, MA, USA.
Genes and Immunity
|April 8, 2016
Summary
We developed interaction QTL (iQTL), a tool to find gene expression regulation by variant-variant interactions (epistasis). iQTL identified 11 gene expression patterns linked to epistasis in a smallpox vaccine study, revealing complex genetic regulation.
Area of Science:
- Genetics
- Systems Biology
- Immunology
Background:
- Expression quantitative trait loci (eQTL) studies link genetic variants to gene expression.
- Epistasis, or variant-variant interactions, also influences gene expression but is computationally challenging to detect.
- Understanding epistasis is crucial for a comprehensive view of genetic regulation.
Purpose of the Study:
- To introduce interaction QTL (iQTL), an efficient tool for detecting epistatic interactions regulating gene expression.
- To apply iQTL to analyze gene expression data from a smallpox vaccine study.
- To investigate the role of epistasis in immune response.
Main Methods:
- Development of the iQTL tool, which focuses on cis-regulatory interactions to reduce computational burden.
- Application of iQTL to genome-wide association study (GWAS) and gene expression data from 183 smallpox vaccine participants.
- Utilizing an integrative network approach to characterize identified epistatic interactions.
Main Results:
- iQTL efficiently identified 11 probe sets regulated by variant-variant interactions, analyzing only 0.15% of possible interactions.
- Functional epistatic interactions involving apoptosis-related genes (DIABLO, TRAPPC4, FADD) were highlighted in the context of smallpox vaccination.
- Network analysis provided insights into the functional context of these iQTL interactions.
Conclusions:
- iQTL is an effective and open-source tool for identifying epistatic interactions in eQTL studies.
- The study reveals the significance of epistasis in regulating gene expression, particularly in immune responses.
- Findings contribute to a deeper understanding of complex genetic mechanisms underlying phenotypes like immune response to vaccination.
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