Journal Article DKFZ-2023-02151

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Refphase: Multi-sample phasing reveals haplotype-specific copy number heterogeneity.

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2023
Public Library of Science San Francisco, Calif.

PLoS Computational Biology 19(10), e1011379 () [10.1371/journal.pcbi.1011379]
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Abstract: Most computational methods that infer somatic copy number alterations (SCNAs) from bulk sequencing of DNA analyse tumour samples individually. However, the sequencing of multiple tumour samples from a patient's disease is an increasingly common practice. We introduce Refphase, an algorithm that leverages this multi-sampling approach to infer haplotype-specific copy numbers through multi-sample phasing. We demonstrate Refphase's ability to infer haplotype-specific SCNAs and characterise their intra-tumour heterogeneity, to uncover previously undetected allelic imbalance in low purity samples, and to identify parallel evolution in the context of whole genome doubling in a pan-cancer cohort of 336 samples from 99 tumours.

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Contributing Institute(s):
  1. DKTK Koordinierungsstelle Berlin (BE01)
Research Program(s):
  1. 899 - ohne Topic (POF4-899) (POF4-899)

Appears in the scientific report 2023
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 Record created 2023-10-24, last modified 2024-02-29



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