2018
DOI: 10.1093/nar/gky471
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VarAFT: a variant annotation and filtration system for human next generation sequencing data

Abstract: With the rapidly developing high-throughput sequencing technologies known as next generation sequencing or NGS, our approach to gene hunting and diagnosis has drastically changed. In <10 years, these technologies have moved from gene panel to whole genome sequencing and from an exclusively research context to clinical practice. Today, the limit is not the sequencing of one, many or all genes but rather the data analysis. Consequently, the challenge is to rapidly and efficiently identify disease-causing mutatio… Show more

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Cited by 158 publications
(111 citation statements)
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“…The data were analyzed as described elsewhere [18]. Annotation, filtering, and prioritization of variants were carried out using VarAFT software [19]. The results were then filtered under de novo dominance and recessive hypotheses.…”
Section: Whole Exome Sequencing and Molecular Analyses Patientmentioning
confidence: 99%
“…The data were analyzed as described elsewhere [18]. Annotation, filtering, and prioritization of variants were carried out using VarAFT software [19]. The results were then filtered under de novo dominance and recessive hypotheses.…”
Section: Whole Exome Sequencing and Molecular Analyses Patientmentioning
confidence: 99%
“…SNP and Indel variants called using the GATK Unified Genotyper for each sample (DePristo et al, 2011). Variants were called using high stringency settings and annotated with VarAFT software 2.16 (Desvignes et al, 2018) containing information from dbSNP147 and gnomAD v2.11 1 . Variant interpretation was limited to the genes that occurred in the 59 medically actionable genes listed in the ACMG guidelines (Kalia et al, 2017).…”
Section: Wes Analysismentioning
confidence: 99%
“…VarAFT [2] was used to obtain exon coverage for these genes. The default options were used to generate the pdf report using CovReport with Show gene transcript and Show statistics options activated.…”
Section: Resultsmentioning
confidence: 99%
“…Given the critical importance of coverage data, several tools have been previously developed to evaluate the coverage of target regions after short-read sequencing in a diagnostic setting [2,6,7].…”
Section: Discussionmentioning
confidence: 99%