ShallowHRD: detection of homologous recombination deficiency from shallow whole genome sequencing
Author(s) -
Alexandre Eeckhoutte,
Alexandre Houy,
Élodie Manié,
Ma Reverdy,
Ivan Bièche,
Elisabetta Marangoni,
Oumou Goundiam,
Anne VincentSalomon,
Dominique StoppaLyonnet,
FrançoisClément Bidard,
MarcHenri Stern,
Tatiana Popova
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa261
Subject(s) - homologous recombination , homologous chromosome , recombination , genome , genetics , computational biology , biology , whole genome sequencing , dna , gene
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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