BMC Bioinformatics · 2021 · 14 citations · 17 references
Life SciencesGeneticsMolecular GeneticsGenomic Data AnalysisGenomicsMedical GeneticsCandidate Gene AnalysisClinical GenomicsVariant AnalysisVariant ClassificationVariant DetectionVariant InterpretationClinical Exome SequencingExome SequencingGene-centric ViewMolecular Panel TestingPhenotype-driven Gene PrioritizationTargeted Gene Panel AnalysisTargeted Gene Panel SequencingTargeted Gene Panel Testing
BACKGROUND: Whole exome sequencing (WES) is widely adopted in clinical and research settings; however, one of the practical concerns is the potential false negatives due to incomplete breadth and depth of coverage for several exons in clinically implicated genes. In some cases, a targeted gene panel testing may be a dependable option to ascertain true negatives for genomic variants in known disease-associated genes. We developed a web-based tool to quickly gauge whether all genes of interest would be reliably covered by WES or whether targeted gene panel testing should be considered instead to minimize false negatives in candidate genes. RESULTS: WEScover is a novel web application that provides an intuitive user interface for discovering breadth and depth of coverage across population-scale WES datasets, searching either by phenotype, by targeted gene panel(s) or by gene(s). Moreover, the application shows metrics from the Genome Aggregation Database to provide gene-centric view on breadth of coverage. CONCLUSIONS: WEScover allows users to efficiently query genes and phenotypes for the coverage of associated exons by WES and recommends use of panel tests for the genes with potential incomplete coverage by WES.
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A global reference for human genetic variation
Richard Durbin, Peter Donnelly, Paul Flicek et al. · Nature · 2015 · 20K citations · Full text
Analysis of protein-coding genetic variation in 60,706 humans
Monkol Lek, Konrad J. Karczewski, Eric Vallabh Minikel et al. · Nature · 2016 · 10.3K citations · Full text