Title
Algorithms to Model Single Gene, Single Chromosome, and Whole Genome Copy Number Changes Jointly in Tumor Phylogenetics.
Abstract
We present methods to construct phylogenetic models of tumor progression at the cellular level that include copy number changes at the scale of single genes, entire chromosomes, and the whole genome. The methods are designed for data collected by fluorescence in situ hybridization (FISH), an experimental technique especially well suited to characterizing intratumor heterogeneity using counts of probes to genetic regions frequently gained or lost in tumor development. Here, we develop new provably optimal methods for computing an edit distance between the copy number states of two cells given evolution by copy number changes of single probes, all probes on a chromosome, or all probes in the genome. We then apply this theory to develop a practical heuristic algorithm, implemented in publicly available software, for inferring tumor phylogenies on data from potentially hundreds of single cells by this evolutionary model. We demonstrate and validate the methods on simulated data and published FISH data from cervical cancers and breast cancers. Our computational experiments show that the new model and algorithm lead to more parsimonious trees than prior methods for single-tumor phylogenetics and to improved performance on various classification tasks, such as distinguishing primary tumors from metastases obtained from the same patient population.
Year
DOI
Venue
2014
10.1371/journal.pcbi.1003740
PLOS COMPUTATIONAL BIOLOGY
Keywords
Field
DocType
computational biology,computer simulation,algorithms
Genome,Edit distance,Population,Human evolutionary genetics,Phylogenetic tree,Fluorescence in situ hybridization,Biology,Algorithm,Genome evolution,Bioinformatics,Genetics,Copy number analysis
Journal
Volume
Issue
ISSN
10
7
1553-734X
Citations 
PageRank 
References 
16
0.94
14
Authors
6
Name
Order
Citations
PageRank
Salim A Chowdhury1806.28
Stanley Shackney2766.95
Kerstin Heselmeyer-Haddad3373.54
Thomas Ried4373.54
Alejandro A. Schäffer5827136.66
Russell Schwartz654868.68