SVAFotate
SVAFotate annotates structural variants (SVs) with allele frequency and related metrics from multiple population-scale datasets to enable estimation of population allele frequencies for SVs and support variant stratification.
Key Features:
- Annotation with Allele Frequencies: Integrates allele frequencies and associated metrics from existing SV datasets to annotate individual SV calls.
- VCF File Enhancement: Enriches VCF (Variant Call Format) files with metrics that assist in distinguishing common versus rare structural variants.
- Facilitation of Rare Disease Analysis: Provides allele frequency annotations used for filtering and prioritizing SVs in rare disease studies.
Scientific Applications:
- Filtering and Prioritization: Supports filtering strategies to isolate significant SVs from large datasets by annotating them with population allele frequencies.
- Classification by Frequency: Enables classification of SVs as common or rare to aid studies of genetic variation and rare disease genetics.
Methodology:
Matches structural variant calls across multiple datasets to compile comprehensive allele frequency information and embeds these annotations into VCF records.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 1/25/2023
- Last Updated:
- 1/25/2023
Operations
Publications
Nicholas TJ, Cormier MJ, Quinlan AR. Annotation of structural variants with reported allele frequencies and related metrics from multiple datasets using SVAFotate. BMC Bioinformatics. 2022;23(1). doi:10.1186/s12859-022-05008-y. PMID:36384437. PMCID:PMC9670370.