This is a preprint.
HATCHet2: clone- and haplotype-specific copy number inference from bulk tumor sequencing data
- PMID: 37502835
- PMCID: PMC10370020
- DOI: 10.1101/2023.07.13.548855
HATCHet2: clone- and haplotype-specific copy number inference from bulk tumor sequencing data
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HATCHet2: clone- and haplotype-specific copy number inference from bulk tumor sequencing data.Genome Biol. 2024 May 21;25(1):130. doi: 10.1186/s13059-024-03267-x. Genome Biol. 2024. PMID: 38773520 Free PMC article.
Abstract
Multi-region DNA sequencing of primary tumors and metastases from individual patients helps identify somatic aberrations driving cancer development. However, most methods to infer copy-number aberrations (CNAs) analyze individual samples. We introduce HATCHet2 to identify haplotype- and clone-specific CNAs simultaneously from multiple bulk samples. HATCHet2 introduces a novel statistic, the mirrored haplotype B-allele frequency (mhBAF), to identify mirrored-subclonal CNAs having different numbers of copies of parental haplotypes in different tumor clones. HATCHet2 also has high accuracy in identifying focal CNAs and extends the earlier HATCHet method in several directions. We demonstrate HATCHet2's improved accuracy using simulations and a single-cell sequencing dataset. HATCHet2 analysis of 50 prostate cancer samples from 10 patients reveals previously-unreported mirrored-subclonal CNAs affecting cancer genes.
Keywords: DNA sequencing; allele-specific; cancer; clone; copy-number aberrations; genomics; haplotype; tumor heterogeneity.
Conflict of interest statement
Competing interests None to report.
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