2014
DOI: 10.1002/0471142905.hg0614s81
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Using VAAST to Identify Disease‐Associated Variants in Next‐Generation Sequencing Data

Abstract: The VAAST pipeline is specifically designed to identify disease-associated alleles in next-generation sequencing data. In the protocols presented in this paper, we outline the best practices for variant prioritization using VAAST. Examples and test data are provided for case-control, small pedigree, and large pedigree analyses. These protocols will teach users the fundamentals of VAAST, VAAST 2.0, and pVAAST analyses.

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Cited by 26 publications
(26 citation statements)
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“…Historically, WES has been considered both too complex technically and analytically and too expensive for clinical use. [11] The degree of complexity is rapidly being minimized by technical advances in both hardware and software that have reduced expense and made data generation rapid and analysis relatively straightforward[12, 13]. For example, in the case described herein, WES was performed at a cost of about $600.00 and data was generated and interpreted in a day.…”
Section: Resultsmentioning
confidence: 99%
“…Historically, WES has been considered both too complex technically and analytically and too expensive for clinical use. [11] The degree of complexity is rapidly being minimized by technical advances in both hardware and software that have reduced expense and made data generation rapid and analysis relatively straightforward[12, 13]. For example, in the case described herein, WES was performed at a cost of about $600.00 and data was generated and interpreted in a day.…”
Section: Resultsmentioning
confidence: 99%
“…Data were also analyzed using Omicia Opal 4.15 in a three-person cohort analysis including the proband, mother, and daughter (https://app.omicia.com; Omicia, Inc., Oakland, CA). The software prioritizes variants using the Variant Annotation, Analysis and Search Tool (VAAST) and therefore does not take into account the family relationships between individuals [11]. However, because the analysis was focused on variants shared by all three women, the results are similar to pVAAST.…”
Section: Methodsmentioning
confidence: 99%
“…A VCF file containing the same variants as the BED file used with Phenolyzer was then input into similar programs such as wANNOVAR and PhenIX in order to utilize several sources of analysis (Chang and Wang 2012; Zemojtel et al 2014). These same VCF files were input into the Omicia Opal system, with similar results (see Supplemental File 4; Rope et al 2011; Hu et al 2013; Kennedy et al 2014). …”
Section: Methodsmentioning
confidence: 99%