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

1 Jun 2020Bioinformatics

DOI : 10.1093/bioinformatics/btaa261

Authors

Alexandre Eeckhoutte, Alexandre Houy, Elodie Manié, Manon Reverdy, Ivan Bièche, Elisabetta Marangoni, Oumou Goundiam, Anne Vincent-Salomon, Dominique Stoppa-Lyonnet, François-Clément Bidard, Marc-Henri Stern, Tatiana Popova

Abstract

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.

Teams

Group

Circulating cancer biomarkers

FRANCOIS-CLEMENT BIDARD

SHUFANG RENAULT