flashfm-ivis
flashfm-ivis visualizes and compares fine-mapping results to identify potential causal genetic variants across single- and multi-trait quantitative trait analyses.
Key Features:
- Interactive visualization plots: Provides interactive plots for exploring variant-level fine-mapping results across multiple traits.
- Network diagrams: Generates network diagrams that illustrate joint effects between variants across different traits.
- Regional association plots: Integrates fine-mapping results into regional association plots to display variant associations within specific genomic regions.
- Single- and multi-trait comparison: Compares outputs from single-trait and multi-trait fine-mapping analyses to identify shared or distinct causal variants.
Scientific Applications:
- Fine-mapping of quantitative traits: Supports localization of putative causal variants underlying variation in quantitative traits.
- Comparative trait analysis: Enables identification of shared genetic influences and trait-specific associations through comparison of single- and multi-trait results.
Methodology:
Compares single-trait and multi-trait fine-mapping outputs, constructs network diagrams of joint variant effects across traits, and overlays fine-mapping results on regional association plots.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Windows, Linux
- Programming Languages:
- R
- Added:
- 10/2/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Zhou F, Butterworth AS, Asimit JL. <i>Flashfm-ivis</i> : interactive visualization for fine-mapping of multiple quantitative traits. Bioinformatics. 2022;38(17):4238-4242. doi:10.1093/bioinformatics/btac453. PMID:35792838. PMCID:PMC9438951.
PMID: 35792838
PMCID: PMC9438951
Funding: - UK Medical Research Council: MR/L003120/1, MR/R021368/1
- Alan Turing Institute and British Heart Foundation: SP/18/5/33804
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics: NIHR BTRU-2014-10024
- British Heart Foundation: RG/13/13/30194, RG/18/13/33946, SP/09/002
- NIHR Cambridge BRC: BRC-1215-20014