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PMID: 24633410 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

PyClone: statistical inference of clonal population structure in cancer.

Nature methods ·Vol. 11 ·No. 4 ·2014-04-00 ·Pages 396-8

Roth A, Khattra J, Yap D, Wan A, Laks E, Biele J, Ha G, Aparicio S, Bouchard-Côté A, Shah SP

Abstract

We introduce PyClone, a statistical model for inference of clonal population structures in cancers. PyClone is a Bayesian clustering method for grouping sets of deeply sequenced somatic mutations into putative clonal clusters while estimating their cellular prevalences and accounting for allelic imbalances introduced by segmental copy-number changes and normal-cell contamination. Single-cell sequencing validation demonstrates PyClone's accuracy.

MeSH Terms
Algorithms Alleles Animals Bayes Theorem Cluster Analysis DNA Mutational Analysis/methods Gene Expression Regulation, Neoplastic Humans Models, Biological Models, Statistical Mutation Neoplasms/metabolism Reproducibility of Results Software
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Roth Andrew
1] Bioinformatics Graduate Program, University of British Columbia, Vancouver, British Columbia, Canada. [2] Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
Khattra Jaswinder
Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
Yap Damian
Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
Wan Adrian
Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
Laks Emma
Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
Biele Justina
Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
Ha Gavin
1] Bioinformatics Graduate Program, University of British Columbia, Vancouver, British Columbia, Canada. [2] Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
Aparicio Samuel
1] Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada. [2] Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Bouchard-Côté Alexandre
Department of Statistics, University of British Columbia, Vancouver, British Columbia, Canada.
Shah Sohrab P
1] Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada. [2] Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
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Article Info
Journal
Nature methods
Abbr.
Nat Methods
ISSN
1548-7105
Published
2014-04-00
Epub
2014-00-16
Pages
396-8
Language
English
Region
United States
NLM ID
101215604
PMCID
PMC4864026
Subset
IM
Grants
Canadian Institutes of Health Research · 115170-1 · Canada
Canadian Institutes of Health Research · 126119-1 · Canada
Canadian Institutes of Health Research · 130831-1 · Canada
Canadian Institutes of Health Research · 131620-1 · Canada
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