Manhattan

Manhattan visualizes GWAS summary statistics using a transposed Manhattan plot layout and annotates variants with gene names, allele frequencies, and variant consequences to improve interpretability of association signals.

Key Features:

• Transposed Plot Layout: Displays genomic positions using a transposed Manhattan plot layout to change axis orientation and optimize space usage across chromosomes.
• Enhanced Annotations: Annotates points with gene names, allele frequencies, and variant consequences to provide functional context for variants.
• Annotation Placement Flexibility: Allows customization of how and where annotations are displayed on the plot to emphasize specific variant information.
• Distinguishing Multi-variant Loci: Differentiates loci represented by a single highly significant p-value from loci comprising multiple variants within a haplotype block with similar p-values.
• R Implementation: Implemented in R for statistical computing and graphics.

Scientific Applications:

• GWAS Visualization and Interpretation: Visualizes GWAS summary statistics to aid interpretation of genome-wide association signals.
• Variant Functional Interpretation: Uses gene, frequency, and consequence annotations to support assessment of variant functional implications.
• Haplotype and Locus Analysis: Helps distinguish single-variant signals from multi-variant haplotype blocks to refine locus-level interpretation.
• Exploratory Analysis and Hypothesis Generation: Facilitates exploratory analysis of association results and generation of hypotheses based on annotated variant patterns.

Methodology:

Implements visualization of GWAS summary statistics using a transposed Manhattan plot layout and is implemented in R.