causal-genomics

What problem does it solve?

Identify causal relationships between genetic variants and molecular/phenotypic traits by integrating GWAS and QTL data, enabling robust inference beyond association.

Core Features & Use Cases

• Fine-mapping: Pin down candidate causal variants within associated loci.
• Colocalization & Mediation: Assess shared signals across traits and dissect causal pathways.
• Mendelian Randomization: Infer directionality and causal effects using summary statistics.
• Use Case: A researcher wants to know whether a GWAS signal for a disease shares a causal variant with expression QTLs to prioritize genes for follow-up.

Quick Start

Start by providing GWAS and QTL summary statistics along with an LD reference, then run the causal-genomics workflow to obtain colocalization results, credible sets, and causal evidence summaries.