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.

PMID: 36384437
PMCID: PMC9670370
Funding: - NHGRI: R01HG010757