A comparison of DNA copy number profiling platforms

被引:50
|
作者
Greshock, Joel
Feng, Bin
Nogueira, Cristina
Ivanova, Elena
Perna, Ilana
Nathanson, Katherine
Protopopov, Alexei
Weber, Barbara L.
Chin, Lynda
机构
[1] Dana Farber Canc Inst, Dept Med Oncol, Boston, MA 02115 USA
[2] GlaxoSmithKline, Translat Med, King Of Prussia, PA USA
[3] Belfer Inst Innovat Canc Sci, Ctr Appl Canc Sci, Boston, MA USA
[4] Harvard Univ, Sch Med, Dept Dermatol, Boston, MA 02115 USA
[5] Univ Penn, Abramson Family Canc Res Inst, Philadelphia, PA 19104 USA
关键词
D O I
10.1158/0008-5472.CAN-07-2102
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The accurate mapping of recurring DNA copy number aberrations (CNAs), a hallmark feature of the cancer genome, has facilitated the discovery of tumor suppressor genes and oncogenes. Microarray-based assays designed to detect these chromosomal copy number alterations on a genome-wide and high-resolution scale have emerged as a cornerstone technology in the genomic era. The diversity of commercially available platforms prompted a systematic comparison of five copy number profiling assays for their ability to detect 2-fold copy number gain and loss (4n or 1n, respectively) as well as focal high-amplitude CNAs. Here, using a collection of established human melanoma cell lines, we defined the reproducibility, absolute signals, signal to noise, and false-positive and false-negative rates for each of the five assays against ground truth defined by spectral karyotyping, in addition to comparing the concordance of CNA detection by two high-resolution Agilent and Affymetrix microarray platforms. Our analyses concluded that the Agilent's 60-mer oligonucleotide microarray with probe design optimized for genomic hybridization offers the highest sensitivity and specificity (area under receiver operator characteristic curve >0.99), whereas Affymetrix's single nucleotide polymorphism microarray seems to offer better detection of CNAs in gene-poor regions. Availability of these comparison results should guide study design decisions and facilitate further computational development.
引用
收藏
页码:10173 / 10180
页数:8
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