hudson

hudson generates mirrored Manhattan plots to visualize and compare genome-wide, phenome-wide, and exposome-wide association study summary statistics.

Key Features:

• Mirrored Manhattan plots: Creates mirrored Manhattan plots that enable direct visual comparison between two association-result datasets.
• Support for GWAS, PheWAS, ExWAS: Provides plotting functions tailored for genome-wide association studies (GWAS), phenome-wide association studies (PheWAS), and exposome-wide association studies (ExWAS).
• Flexible plotting framework: Applies across various types of genome-wide analyses beyond traditional Manhattan plotting formats.
• Interactive visualization: Incorporates interactive elements for exploring large-scale, high-dimensional association results.

Scientific Applications:

• Genome-Wide Association Studies (GWAS): Visualize GWAS summary statistics to facilitate identification of significant genetic associations.
• Phenome-Wide Association Studies (PheWAS): Visualize PheWAS results to assess genotype–phenotype relationships across many traits.
• Exposome-Wide Association Studies (ExWAS): Visualize ExWAS analyses to investigate environmental exposures' impact on associations.
• Comparative analyses: Contrast results between datasets or phases, such as discovery versus replication, using mirrored visualizations.

Methodology:

Generates mirrored Manhattan plots from association summary statistics to enable direct dataset comparisons (e.g., discovery vs replication) and integrates interactive visualization components for data exploration.