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. 2020 Jun 1;36(12):3888-3889.
doi: 10.1093/bioinformatics/btaa261.

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

Affiliations

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

Alexandre Eeckhoutte et al. Bioinformatics. .

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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Figures

Fig. 1.
Fig. 1.
shallowHRD validation in down-sampled WGS of the TCGA (A) and performance (B). Proven/No HRD: cases with/without inactivation of BRCA1/2, RAD51C or PALB2 (Supplementary Material); HRD (red) and non-HRD (blue) cases in SNP-arrays; LGAs: large-scale genomic alterations; WES: whole exome sequencing. aLow specificity could be due to non-complete annotation of HRD

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