VEXOR

VEXOR prioritizes functional genetic variants in fine-mapping analyses by integrating GWAS association results with genomic annotations, reference tools, and experimental data.


Key Features:

  • Integrative annotation consolidation: Consolidates multiple annotation tools and reference datasets to annotate genetic variants by genomic location and predicted functionality.
  • Association-to-reference linking: Links GWAS association results with reference tools and experimental datasets to contextualize variant signals within fine-mapping regions.
  • Predictive functional prioritization: Prioritizes candidate variants by predicting potential functional implications relevant to phenotypic traits and disease susceptibility.

Scientific Applications:

  • Post-GWAS fine-mapping: Supports fine-mapping analyses to identify and rank candidate causal variants within GWAS-associated loci.
  • Functional interpretation of variants: Facilitates interpretation of variant effects to generate hypotheses about genetic contributions to diseases and traits.

Methodology:

Combines multiple reference tools and datasets by linking GWAS association results with genomic annotations and experimental data to enable variant annotation and prioritization.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
6/4/2018
Last Updated:
11/25/2024

Operations

Publications

Lemaçon A, Joly Beauparlant C, Soucy P, Allen J, Easton D, Kraft P, Simard J, Droit A. VEXOR: an integrative environment for prioritization of functional variants in fine-mapping analysis. Bioinformatics. 2017;33(9):1389-1391. doi:10.1093/bioinformatics/btw826. PMID:28453673. PMCID:PMC5860431.

PMID: 28453673
PMCID: PMC5860431
Funding: - Canadian Institutes of Health Research: GPH-129344

Documentation