FACETS: Allele-specific copy number and clonal heterogeneity analysis tool for high-throughput DNA sequencing Journal Article


Authors: Shen, R.; Seshan, V. E.
Article Title: FACETS: Allele-specific copy number and clonal heterogeneity analysis tool for high-throughput DNA sequencing
Abstract: Allele-specific copy number analysis (ASCN) from next generation sequencing (NGS) data can greatly extend the utility of NGS beyond the identification of mutations to precisely annotate the genome for the detection of homozygous/heterozygous deletions, copy-neutral loss-of-heterozygosity (LOH), allele-specific gains/amplifications. In addition, as targeted gene panels are increasingly used in clinical sequencing studies for the detection of 'actionable' mutations and copy number alterations to guide treatment decisions, accurate, tumor purity-, ploidy- and clonal heterogeneity-adjusted integer copy number calls are greatly needed to more reliably interpret NGS-based cancer gene copy number data in the context of clinical sequencing. We developed FACETS, an ASCN tool and open-source software with a broad application to whole genome, whole-exome, as well as targeted panel sequencing platforms. It is a fully integrated stand-alone pipeline that includes sequencing BAM file post-processing, joint segmentation of total- and allele-specific read counts, and integer copy number calls corrected for tumor purity, ploidy and clonal heterogeneity, with comprehensive output and integrated visualization. We demonstrate the application of FACETS using The Cancer Genome Atlas (TCGA) whole-exome sequencing of lung adenocarcinoma samples. We also demonstrate its application to a clinical sequencing platform based on a targeted gene panel. © 2016 The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.
Journal Title: Nucleic Acids Research
Volume: 44
Issue: 16
ISSN: 0305-1048
Publisher: Oxford University Press  
Date Published: 2016-09-19
Start Page: e131
Language: English
DOI: 10.1093/nar/gkw520
PROVIDER: scopus
PMCID: PMC5027494
PUBMED: 27270079
DOI/URL:
Notes: Article -- Export Date: 2 November 2016 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Venkatraman Ennapadam Seshan
    382 Seshan
  2. Ronglai Shen
    204 Shen