Gene set enrichment in eQTL data identifies novel annotations and pathway regulators.

Area of Science:

• Genomics
• Systems Biology
• Molecular Biology

Background:

• Genome-wide gene expression profiling is crucial for generating biological hypotheses.
• Expression quantitative trait loci (eQTL) mapping analyzes gene expression across genetic populations.
• Trans-eQTL bands represent coordinated gene expression changes linked to specific genetic loci.

Purpose of the Study:

• To identify novel transcriptional regulators and pathway members using trans-eQTL bands.
• To investigate the regulatory relationships between genes and genetic loci in mouse adipose tissue.
• To validate a novel function for cyclin H in oxidative phosphorylation.

Main Methods:

• Performed eQTL analysis on adipose tissue from 28 inbred mouse strains.
• Focused on trans-eQTL bands, associating multiple gene expression patterns with common genetic loci.
• Screened genes in trans-eQTL bands for functional gene set enrichment and identified candidate transcriptional modulators.

Main Results:

• Demonstrated enrichment of known transcriptional regulator-target gene relationships within trans-eQTL bands.
• Identified novel gene regulators and novel members of known biological pathways.
• Validated a previously uncharacterized role for cyclin H in regulating oxidative phosphorylation.

Conclusions:

• Trans-eQTL band analysis is a powerful strategy for generating specific molecular hypotheses.
• The approach effectively identifies novel pathway members and regulators.
• The methods are broadly applicable to other eQTL datasets for biological discovery.