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.

Links