CNVfilteR: an R/bioconductor package to identify false positives produced by germline NGS CNV detection tools.

Germline copy-number variants (CNVs) are relevant mutations for multiple genetics fields, such as the study of hereditary diseases. However, available benchmarks show that all next-generation sequencing (NGS) CNV calling tools produce false positives. We developed CNVfilteR, an R package that uses t...

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Detalles Bibliográficos
Autores: Moreno Cabrera, José Marcos, Valle, Jesús del, Castellanos, Elisabeth, Feliubadaló i Elorza, Maria Lídia, Pineda Riu, Marta, Serra Arenas, Eduard, Capellá, G. (Gabriel), Lázaro García, Conxi, Gel Moreno, Bernat
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/182882
Acceso en línea:https://hdl.handle.net/2445/182882
Access Level:acceso abierto
Palabra clave:Diagnòstic de laboratori
Errors científics
Laboratory diagnosis
Scientific errors
Descripción
Sumario:Germline copy-number variants (CNVs) are relevant mutations for multiple genetics fields, such as the study of hereditary diseases. However, available benchmarks show that all next-generation sequencing (NGS) CNV calling tools produce false positives. We developed CNVfilteR, an R package that uses the single nucleotide variant calls usually obtained in germline NGS pipelines to identify those false positives. The package can detect both false deletions and false duplications. We evaluated CNVfilteR performance on callsets generated by 13 CNV calling tools on 3 whole-genome sequencing and 541 panel samples, showing a decrease of up to 44.8% in false positives and consistent F1-score increase. Using CNVfilteR to detect false-positive calls can improve the overall performance of existing CNV calling pipelines. Availability: CNVfilteR is released under Artistic-2.0 License. Source code and documentation are freely available at Bioconductor (http://www.bioconductor.org/packages/CNVfilteR). Supplementary information: Supplementary data are available at Bioinformatics online.