Reducing the search space for causal genetic variants with VASP

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

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)2377-2379
    Number of pages3
    JournalBioinformatics
    Volume31
    Issue number14
    DOIs
    Publication statusPublished - 15 Jul 2015

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