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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.
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Alexandre Eeckhoutte
Alexandre Houy
Élodie Manié
Bioinformatics
Inserm
Université Paris Cité
Université Paris-Saclay
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Eeckhoutte et al. (Tue,) studied this question.
www.synapsesocial.com/papers/6a0cc2949d761985b14a453a — DOI: https://doi.org/10.1093/bioinformatics/btaa261