wgs-structvar

wgs-structvar standardizes calling and filtering of structural variants from whole-genome sequencing to enable population-aware detection and interpretation using SweGen frequency data.


Key Features:

  • Standardized Variant Calling: Provides a systematic approach to identifying structural variants from whole-genome sequencing data to ensure consistency in variant detection.
  • Comprehensive Filtering Mechanism: Applies filtering that leverages population frequency data to distinguish common and rare structural variants.
  • Integration with SweGen Data Set: Uses SweGen population frequencies, including over 29.2 million SNVs and 3.8 million indels from a cohort of 1,000 Swedish individuals, for frequency-based annotation and filtering.
  • Detection of Novel Variants: Identifies variants absent from existing databases, with samples contributing on average 7,199 individual-specific variants and 8,645 larger structural variants per individual.
  • Population-Specific Insights: Reflects the genetic structure of the Swedish population to support population-aware variant interpretation.

Scientific Applications:

  • Clinical Genetics: Identification and characterization of structural variants relevant to genetic disorders for diagnostic interpretation.
  • Genetic Epidemiology: Support for association studies through a detailed map of structural variants within a well-characterized population cohort.
  • Population Genetics: Analysis of population structure and genetic diversity using population-specific SV frequency data.

Methodology:

Analysis of high-density SNP-array data from >10,000 individuals, selection and whole-genome sequencing of representative samples, and automated pipelines for alignment, variant calling, and quality control.

Topics

Details

Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Shell, Groovy
Added:
11/10/2017
Last Updated:
11/25/2024

Operations

Publications

Ameur A, Dahlberg J, Olason P, Vezzi F, Karlsson R, Martin M, Viklund J, Kähäri AK, Lundin P, Che H, Thutkawkorapin J, Eisfeldt J, Lampa S, Dahlberg M, Hagberg J, Jareborg N, Liljedahl U, Jonasson I, Johansson Å, Feuk L, Lundeberg J, Syvänen A, Lundin S, Nilsson D, Nystedt B, Magnusson PK, Gyllensten U. SweGen: a whole-genome data resource of genetic variability in a cross-section of the Swedish population. European Journal of Human Genetics. 2017;25(11):1253-1260. doi:10.1038/ejhg.2017.130. PMID:28832569. PMCID:PMC5765326.

Documentation