LocusZoom
LocusZoom visualizes genetic association results and integrates gene models, linkage disequilibrium, GWAS and PheWAS signals, genomic annotations, chromatin co-accessibility, and eQTL measurements to support interpretation of loci and candidate causal variants.
Key Features:
- Locus plotting: Visualizes one or more traits in a genomic context showing gene models and genomic annotations.
- Linkage disequilibrium and reference panels: Enables selection of linkage disequilibrium (LD) reference panels for locus-specific LD annotation and comparisons.
- Causal variant identification: Supports identification of sets of likely causal variants through model refinement and comparative analyses.
- Extensible plot layouts and data layers: Provides pre-defined plot and panel layouts and data layers that can incorporate PheWAS results, chromatin co-accessibility, and eQTL measurements.
- Dataset harmonization and annotation: Harmonizes uploaded datasets by adding annotations to facilitate comparison and integration with external GWAS catalogs.
Scientific Applications:
- GWAS locus interpretation: Aids visualization and interpretation of genome-wide association study (GWAS) results to prioritize candidate causal variants.
- Cross-phenotype and functional integration: Integrates PheWAS, chromatin co-accessibility, and eQTL data with GWAS signals to assess functional effects and pleiotropy.
Methodology:
Interactive refinement of analysis models through user-driven selection and comparison of LD reference panels and GWAS catalogs, together with dataset harmonization by annotation.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool, library
- Programming Languages:
- JavaScript
- Added:
- 3/19/2021
- Last Updated:
- 4/11/2021
Operations
Publications
Boughton AP, Welch RP, Flickinger M, VandeHaar P, Taliun D, Abecasis GR, Boehnke M. LocusZoom.js: Interactive and embeddable visualization of genetic association study results. Unknown Journal. 2021. doi:10.1101/2021.01.01.423803.