1. A practical guide to cancer subclonal reconstruction from DNA sequencing
- Author
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Quaid Morris, Amit G. Deshwar, Peter Van Loo, Paul C. Boutros, Adriana Salcedo, Maxime Tarabichi, David C. Wedge, Máire Ni Leathlobhair, and Jeff Wintersinger
- Subjects
Technology ,Tumour heterogeneity ,Computer science ,Computational biology ,Polymorphism, Single Nucleotide ,Biochemistry ,Medical and Health Sciences ,Article ,DNA sequencing ,03 medical and health sciences ,Neoplasms ,medicine ,Genetics ,Humans ,Multiple tumors ,Polymorphism ,DNA, Neoplasm/genetics ,Molecular Biology ,030304 developmental biology ,Cancer ,0303 health sciences ,Manchester Cancer Research Centre ,Quality assessment ,ResearchInstitutes_Networks_Beacons/mcrc ,Human Genome ,Pillar ,DNA, Neoplasm ,Sequence Analysis, DNA ,Cell Biology ,DNA ,Single Nucleotide ,Biological Sciences ,medicine.disease ,Neoplasms/genetics ,Reconstruction method ,Sequence Analysis, DNA/methods ,Cancer evolution ,Neoplasm ,Sequence Analysis ,Algorithms ,Biotechnology ,Developmental Biology - Abstract
Subclonal reconstruction from bulk tumor DNA sequencing has become a pillar of cancer evolution studies, providing insight into the clonality and relative ordering of mutations and mutational processes. We provide an outline of the complex computational approaches used for subclonal reconstruction from single and multiple tumor samples. We identify the underlying assumptions and uncertainties in each step, and suggest best practices for analysis and quality assessment. This guide provides a pragmatic resource for the growing user community of subclonal reconstruction methods.
- Published
- 2021
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