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

Author:

Watkins Thomas B. K.,Colliver Emma C.,Huska Matthew R.,Kaufmann Tom L.,Lim Emilia L.,Duncan Cody B.ORCID,Haase Kerstin,Van Loo Peter,Swanton Charles,McGranahan Nicholas,Schwarz Roland F.ORCID

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.

Funder

Cancer Research UK

UK Medical Research Council

Wellcome Trust

Royal Society Research Professorship

CRUK Cancer Immunotherapy Catalyst Network

CRUK Lung Cancer Centre of Excellence

Rosetrees

Novo Nordisk Foundation

Royal Society Professor Enhancement Award

National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre

Cancer Research UK–University College London Centre

Experimental Cancer Medicine Centre

Breast Cancer Research Foundation

Mark Foundation For Cancer Research

European Research Council

Stand Up To Cancer

NIHR BRC at University College London Hospitals

CRUK University College London Experimental Cancer Medicine Centre

Winton Charitable Foundation

CPRIT

Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen

Helmholtz Association

Bundesministerium für Bildung und Forschung

Publisher

Public Library of Science (PLoS)

Subject

Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics

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