Finding Pathway Regulators Using Gene Set Approach
Author Information
Author(s): Lee Eunjee, Woo Jung Hoon, Park Ji Wan, Park Taesung
Primary Institution: Seoul National University
Hypothesis
Can a gene set approach improve the identification of regulators controlling gene expression in biological pathways?
Conclusion
The gene set approach successfully identified potent regulators controlling gene expression in an inflammatory response pathway.
Supporting Evidence
- The gene set approach identified a significant common regulator controlling gene expressions in the inflammatory response pathway.
- Only the inflammatory response pathway showed significant results among the four pathways analyzed.
- The classical eQTL approach detected only 3 genes with significant eQTL among the 23 genes.
Takeaway
This study looked at how groups of genes work together and found important regulators that help control gene expression in response to inflammation.
Methodology
A two-step procedure was used: first, a peak identification algorithm detected significant genetic markers, and second, Fisher's exact test identified common regulators in the pathway.
Limitations
The method does not consider linkage disequilibrium block structures, which may affect detection power.
Participant Demographics
Lymphoblast cells from unrelated individuals were used for gene expression analysis.
Statistical Information
P-Value
1.5787 × 10-9
Statistical Significance
p<0.05
Want to read the original?
Access the complete publication on the publisher's website