Abstract
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.
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CITATION STYLE
Eeckhoutte, A., Houy, A., Manié, E., Reverdy, M., Bièche, I., Marangoni, E., … Popova, T. (2020). ShallowHRD: Detection of homologous recombination deficiency from shallow whole genome sequencing. Bioinformatics, 36(12), 3888–3889. https://doi.org/10.1093/bioinformatics/btaa261
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