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Updated: Nov 12, 2025

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
LocusZoom.js: interactive and embeddable visualization of genetic association study results.
Andrew P Boughton1, Ryan P Welch1, Matthew Flickinger1
1Department of Biostatistics and the Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
LocusZoom.js is an open-source JavaScript library for interactive visualization of genetic association study results. It enables exploration of genomic data, gene models, and other annotations, facilitating variant analysis and data sharing.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Genetic association studies generate large datasets requiring effective visualization tools.
- Interpreting complex genomic data and identifying causal variants is a significant challenge.
Purpose of the Study:
- To introduce LocusZoom.js, a JavaScript library for creating interactive web-based visualizations of genetic association study results.
- To provide a flexible tool for exploring genomic data, annotations, and refining analysis models.
Main Methods:
- Development of a JavaScript library (LocusZoom.js) for genetic data visualization.
- Integration of features for displaying genetic association results alongside gene models and genomic annotations.
- Implementation of interactive functionalities for refining analysis models, including linkage disequilibrium selection and causal variant identification.
Main Results:
- LocusZoom.js enables interactive visualization of genetic association results and related genomic data.
- The library supports customization for various data types, including PheWAS, chromatin co-accessibility, and eQTL data.
- A new web upload service simplifies data harmonization, annotation, and exploration of user-provided results.
Conclusions:
- LocusZoom.js offers a powerful and flexible platform for visualizing and exploring genetic association study results.
- The open-source nature and web-based accessibility promote data sharing and collaborative research in genomics.
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