Exautomate

Exautomate performs region-based rare variant association analysis (RVAA) to detect associations between rare genetic variants and complex traits using statistical methods such as the Sequence Kernel Association Test (SKAT).

Key Features:

• Region-based aggregation: Assesses the cumulative effect of rare variants within predefined genomic regions.
• Integration with SKAT: Implements the Sequence Kernel Association Test (SKAT) as the statistical framework for RVAA.
• Standardized inputs and parameters: Standardizes inputs and exposes modifiable parameters to support reproducibility and transparency of analyses.
• Automated workflows: Automates parameter selection and analysis workflows for region-based rare variant testing.

Scientific Applications:

• Complex trait genetics: Detects associations between rare genetic variants and complex phenotypes or diseases.
• Disease-specific burden testing: Applied to a cohort of 313 familial hypercholesterolemia (FH) patients to identify an increased burden of rare variants in genes known to be associated with FH.

Methodology:

Uses the Sequence Kernel Association Test (SKAT) to assess the cumulative effect of rare variants within predefined genomic regions, with standardized inputs, modifiable parameters, and automated parameter selection and analysis workflows.