Causeway

Causeway performs summary statistics-based two-sample Mendelian Randomization for causal gene prioritization by integrating quantitative trait loci and disease genome-wide association studies.

Key Features:

• Sensitivity Analyses: The pipeline executes sensitivity analyses for interrogation of findings providing robust results.
• Colocalization Analyses: The pipeline executes colocalization analyses for interrogation of findings providing robust results.
• Computational Efficiency: The pipeline runs tasks in a computationally efficient way even in low-resource environments.
• Scalability: The pipeline scales to web servers and high-performance computing clusters.

Scientific Applications:

• Causal Gene Prioritization: Causeway identifies candidate causal genes through Mendelian Randomization and colocalization analysis of quantitative trait loci and disease genome-wide association studies.
• Genome-wide Effector Gene Screening: Causeway enables genome-wide screening for effector genes using summary statistics-based two-sample Mendelian Randomization.

Methodology:

Causeway is implemented as a Nextflow pipeline that performs summary statistics-based two-sample Mendelian Randomization, sensitivity analyses, and colocalization analyses.