CARMEN

CARMEN identifies causal noncoding variants that modulate gene expression to prioritize regulatory variants in genetic studies.

Key Features:

• Novel Algorithmic Approach: Employs a unique algorithm specifically tailored to identify functional noncoding variants that influence gene expression.
• Superior Performance Metrics: Demonstrated higher sensitivity and a low false discovery rate in evaluations compared with other available tools.
• Mechanism Insights: Provides mechanism hints for predicted expression-modulating variants to aid characterization of their regulatory roles.
• Scalability with Large Datasets: Designed to handle massive datasets, making it suitable for large-scale GWAS and eQTL analyses.

Scientific Applications:

• Genetic disease variant interpretation: Identification and prioritization of noncoding variants that may contribute to disease by modulating gene expression.
• GWAS follow-up: Prioritization of candidate regulatory variants within GWAS loci to facilitate functional follow-up.
• eQTL analysis integration: Linking variants to expression changes to support interpretation of expression quantitative trait loci.
• Mechanistic characterization: Generating hypotheses about regulatory mechanisms of expression-modulating variants.

Methodology:

Employs a novel algorithm to identify functional noncoding expression-modulating variants, provides mechanism hints for predicted variants, and is implemented to scale to large datasets.