MEDICC2: whole-genome doubling aware copy-number phylogenies for cancer evolution

Abstract Aneuploidy, chromosomal instability, somatic copy-number alterations, and whole-genome doubling (WGD) play key roles in cancer evolution and provide information for the complex task of phylogenetic inference. We present MEDICC2, a method for inferring evolutionary trees and WGD using haplot...

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Main Authors: Tom L. Kaufmann, Marina Petkovic, Thomas B. K. Watkins, Emma C. Colliver, Sofya Laskina, Nisha Thapa, Darlan C. Minussi, Nicholas Navin, Charles Swanton, Peter Van Loo, Kerstin Haase, Maxime Tarabichi, Roland F. Schwarz
Format: Article
Language:English
Published: BMC 2022-11-01
Series:Genome Biology
Subjects:
Online Access:https://doi.org/10.1186/s13059-022-02794-9
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author Tom L. Kaufmann
Marina Petkovic
Thomas B. K. Watkins
Emma C. Colliver
Sofya Laskina
Nisha Thapa
Darlan C. Minussi
Nicholas Navin
Charles Swanton
Peter Van Loo
Kerstin Haase
Maxime Tarabichi
Roland F. Schwarz
author_facet Tom L. Kaufmann
Marina Petkovic
Thomas B. K. Watkins
Emma C. Colliver
Sofya Laskina
Nisha Thapa
Darlan C. Minussi
Nicholas Navin
Charles Swanton
Peter Van Loo
Kerstin Haase
Maxime Tarabichi
Roland F. Schwarz
author_sort Tom L. Kaufmann
collection DOAJ
description Abstract Aneuploidy, chromosomal instability, somatic copy-number alterations, and whole-genome doubling (WGD) play key roles in cancer evolution and provide information for the complex task of phylogenetic inference. We present MEDICC2, a method for inferring evolutionary trees and WGD using haplotype-specific somatic copy-number alterations from single-cell or bulk data. MEDICC2 eschews simplifications such as the infinite sites assumption, allowing multiple mutations and parallel evolution, and does not treat adjacent loci as independent, allowing overlapping copy-number events. Using simulations and multiple data types from 2780 tumors, we use MEDICC2 to demonstrate accurate inference of phylogenies, clonal and subclonal WGD, and ancestral copy-number states.
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spelling doaj.art-e4b330fa56874857bbfdc7ede9300d312022-12-22T02:52:01ZengBMCGenome Biology1474-760X2022-11-0123112710.1186/s13059-022-02794-9MEDICC2: whole-genome doubling aware copy-number phylogenies for cancer evolutionTom L. Kaufmann0Marina Petkovic1Thomas B. K. Watkins2Emma C. Colliver3Sofya Laskina4Nisha Thapa5Darlan C. Minussi6Nicholas Navin7Charles Swanton8Peter Van Loo9Kerstin Haase10Maxime Tarabichi11Roland F. Schwarz12Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC)Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC)The Francis Crick InstituteThe Francis Crick InstituteDepartment of Mathematics and Computer Science, Free University of BerlinUCL Medical School, University College LondonDepartment of Genetics, The University of Texas MD Anderson Cancer CenterDepartment of Genetics, The University of Texas MD Anderson Cancer CenterThe Francis Crick InstituteThe Francis Crick InstituteDivision of Oncology and Hematology, Department of Pediatrics, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu BerlinThe Francis Crick InstituteBerlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC)Abstract Aneuploidy, chromosomal instability, somatic copy-number alterations, and whole-genome doubling (WGD) play key roles in cancer evolution and provide information for the complex task of phylogenetic inference. We present MEDICC2, a method for inferring evolutionary trees and WGD using haplotype-specific somatic copy-number alterations from single-cell or bulk data. MEDICC2 eschews simplifications such as the infinite sites assumption, allowing multiple mutations and parallel evolution, and does not treat adjacent loci as independent, allowing overlapping copy-number events. Using simulations and multiple data types from 2780 tumors, we use MEDICC2 to demonstrate accurate inference of phylogenies, clonal and subclonal WGD, and ancestral copy-number states.https://doi.org/10.1186/s13059-022-02794-9Somatic copy-number alterationsChromosomal instabilityAneuploidyWhole-genome doublingIntratumor heterogeneityCancer evolution
spellingShingle Tom L. Kaufmann
Marina Petkovic
Thomas B. K. Watkins
Emma C. Colliver
Sofya Laskina
Nisha Thapa
Darlan C. Minussi
Nicholas Navin
Charles Swanton
Peter Van Loo
Kerstin Haase
Maxime Tarabichi
Roland F. Schwarz
MEDICC2: whole-genome doubling aware copy-number phylogenies for cancer evolution
Genome Biology
Somatic copy-number alterations
Chromosomal instability
Aneuploidy
Whole-genome doubling
Intratumor heterogeneity
Cancer evolution
title MEDICC2: whole-genome doubling aware copy-number phylogenies for cancer evolution
title_full MEDICC2: whole-genome doubling aware copy-number phylogenies for cancer evolution
title_fullStr MEDICC2: whole-genome doubling aware copy-number phylogenies for cancer evolution
title_full_unstemmed MEDICC2: whole-genome doubling aware copy-number phylogenies for cancer evolution
title_short MEDICC2: whole-genome doubling aware copy-number phylogenies for cancer evolution
title_sort medicc2 whole genome doubling aware copy number phylogenies for cancer evolution
topic Somatic copy-number alterations
Chromosomal instability
Aneuploidy
Whole-genome doubling
Intratumor heterogeneity
Cancer evolution
url https://doi.org/10.1186/s13059-022-02794-9
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