ShallowHRD: detection of homologous recombination deficiency from shallow whole genome sequencing

Abstract Summary We introduce shallowHRD, a software tool to evaluate tumor homologous recombination deficiency (HRD) based on whole genome sequencing (WGS) at low coverage (shallow WGS or sWGS; ∼1X coverage). The tool, based on mining copy number alterations profile, implements a fast and straightf...

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Veröffentlicht in:Bioinformatics 2020-06, Vol.36 (12), p.3888-3889
Hauptverfasser: Eeckhoutte, Alexandre, Houy, Alexandre, Manié, Elodie, Reverdy, Manon, Bièche, Ivan, Marangoni, Elisabetta, Goundiam, Oumou, Vincent-Salomon, Anne, Stoppa-Lyonnet, Dominique, Bidard, François-Clément, Stern, Marc-Henri, Popova, Tatiana
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Sprache:eng
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Zusammenfassung:Abstract Summary We introduce shallowHRD, a software tool to evaluate tumor homologous recombination deficiency (HRD) based on whole genome sequencing (WGS) at low coverage (shallow WGS or sWGS; ∼1X coverage). The tool, based on mining copy number alterations profile, implements a fast and straightforward procedure that shows 87.5% sensitivity and 90.5% specificity for HRD detection. shallowHRD could be instrumental in predicting response to poly(ADP-ribose) polymerase inhibitors, to which HRD tumors are selectively sensitive. shallowHRD displays efficiency comparable to most state-of-art approaches, is cost-effective, generates low-storable outputs and is also suitable for fixed-formalin paraffin embedded tissues. Availability and implementation shallowHRD R script and documentation are available at https://github.com/aeeckhou/shallowHRD. Supplementary information Supplementary data are available at Bioinformatics online.
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btaa261