Reducing the search space for causal genetic variants with VASP

نویسندگان

  • Matthew A. Field
  • Vicky Cho
  • Matthew C. Cook
  • Anselm Enders
  • Carola G. Vinuesa
  • Belinda Whittle
  • T. Daniel Andrews
  • Chris C. Goodnow
چکیده

MOTIVATION Increasingly, cost-effective high-throughput DNA sequencing technologies are being utilized to sequence human pedigrees to elucidate the genetic cause of a wide variety of human diseases. While numerous tools exist for variant prioritization within a single genome, the ability to concurrently analyze variants within pedigrees remains a challenge, especially should there be no prior indication of the underlying genetic cause of the disease. Here, we present a tool, variant analysis of sequenced pedigrees (VASP), a flexible data integration environment capable of producing a summary of pedigree variation, providing relevant information such as compound heterozygosity, genome phasing and disease inheritance patterns. Designed to aggregate data across a sequenced pedigree, VASP allows both powerful filtering and custom prioritization of both single nucleotide variants (SNVs) and small indels. Hence, clinical and research users with prior knowledge of a disease are able to dramatically reduce the variant search space based on a wide variety of custom prioritization criteria. AVAILABILITY AND IMPLEMENTATION Source code available for academic non-commercial research purposes at https://github.com/mattmattmattmatt/VASP.

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Genome analysis Reducing the search space for causal genetic variants with VASP

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عنوان ژورنال:

دوره 31  شماره 

صفحات  -

تاریخ انتشار 2015