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


Por: Moreno-Cabrera, JM, Del Valle, J, Castellanos, E, Feliubadalo, L, Pineda, M, Serra, E, Capella, G, Lazaro, C and Gel, B

Publicada: 15 nov 2021 Ahead of Print: 13 may 2021
Resumen:
A Summary: 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 three 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.

Filiaciones:
Moreno-Cabrera, JM:
 Germans Trias & Pujol Res Inst PMPPC IGTP, Hereditary Canc Grp, Program Predict & Personalized Med Canc, Campus Can Ruti, Badalona 08916, Spain

 Hosp Llobregat, Inst Invest Biomed Bellvitge IDIBELL, Joint Program Hereditary Canc, Hereditary Canc Program,Catalan Inst Oncol, Barcelona 08908, Spain

 Ctr Invest Biomed Red Canc CIBERONC, Inst Salud Carlos 3, Madrid 28029, Spain

Del Valle, J:
 Hosp Llobregat, Inst Invest Biomed Bellvitge IDIBELL, Joint Program Hereditary Canc, Hereditary Canc Program,Catalan Inst Oncol, Barcelona 08908, Spain

 Ctr Invest Biomed Red Canc CIBERONC, Inst Salud Carlos 3, Madrid 28029, Spain

:
 Germans Trias & Pujol Res Inst PMPPC IGTP, Hereditary Canc Grp, Program Predict & Personalized Med Canc, Campus Can Ruti, Badalona 08916, Spain

 Germans Trias & Pujol Univ Hosp HUGTiP, Clin Genet Serv, Clin Genom Unit, Northern Metropolitan Clin Lab, Campus Can Ruti, Badalona 08916, Spain

Feliubadalo, L:
 Hosp Llobregat, Inst Invest Biomed Bellvitge IDIBELL, Joint Program Hereditary Canc, Hereditary Canc Program,Catalan Inst Oncol, Barcelona 08908, Spain

 Ctr Invest Biomed Red Canc CIBERONC, Inst Salud Carlos 3, Madrid 28029, Spain

Pineda, M:
 Hosp Llobregat, Inst Invest Biomed Bellvitge IDIBELL, Joint Program Hereditary Canc, Hereditary Canc Program,Catalan Inst Oncol, Barcelona 08908, Spain

 Ctr Invest Biomed Red Canc CIBERONC, Inst Salud Carlos 3, Madrid 28029, Spain

:
 Germans Trias & Pujol Res Inst PMPPC IGTP, Hereditary Canc Grp, Program Predict & Personalized Med Canc, Campus Can Ruti, Badalona 08916, Spain

 Ctr Invest Biomed Red Canc CIBERONC, Inst Salud Carlos 3, Madrid 28029, Spain

Capella, G:
 Hosp Llobregat, Inst Invest Biomed Bellvitge IDIBELL, Joint Program Hereditary Canc, Hereditary Canc Program,Catalan Inst Oncol, Barcelona 08908, Spain

 Ctr Invest Biomed Red Canc CIBERONC, Inst Salud Carlos 3, Madrid 28029, Spain

Lazaro, C:
 Hosp Llobregat, Inst Invest Biomed Bellvitge IDIBELL, Joint Program Hereditary Canc, Hereditary Canc Program,Catalan Inst Oncol, Barcelona 08908, Spain

 Ctr Invest Biomed Red Canc CIBERONC, Inst Salud Carlos 3, Madrid 28029, Spain

:
 Germans Trias & Pujol Res Inst PMPPC IGTP, Hereditary Canc Grp, Program Predict & Personalized Med Canc, Campus Can Ruti, Badalona 08916, Spain
ISSN: 13674811





BIOINFORMATICS
Editorial
Oxford University Press, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND, Reino Unido
Tipo de documento: Article
Volumen: 37 Número: 22
Páginas: 4227-4229
WOS Id: 000733835900029
ID de PubMed: 33983414
imagen Green Published, hybrid

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