title: Comparative analysis of methods for identifying somatic copy number alterations from deep sequencing data.
abstract: Somatic copy-number alterations (SCNAs) are an important type of structural variation affecting tumor pathogenesis. Accurate detection of genomic regions with SCNAs is crucial for cancer genomics as these regions contain likely drivers of cancer development. Deep sequencing technology provides single-nucleotide resolution genomic data and is considered one of the best measurement technologies to detect SCNAs. Although several algorithms have been developed to detect SCNAs from whole-genome and whole-exome sequencing data, their relative performance has not been studied. Here, we have compared ten SCNA detection algorithms in both simulated and primary tumor deep sequencing data. In addition, we have evaluated the applicability of exome sequencing data for SCNA detection. Our results show that (i) clear differences exist in sensitivity and specificity between the algorithms, (ii) SCNA detection algorithms are able to identify most of the complex chromosomal alterations and (iii) exome sequencing data are suitable for SCNA detection.
authors.forename: Amjad
authors.initials: A
authors.lastname: Alkodsi
authors.forename: Riku
authors.initials: R
authors.lastname: Louhimo
authors.forename: Sampsa
authors.initials: S
authors.lastname: Hautaniemi
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000235:genetics; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D056915:DNA Copy Number Variations; D004273:DNA, Neoplasm / Q000235:genetics; D059472:Exome; D005260:Female; D018628:Gene Dosage; D015894:Genome, Human; D059014:High-Throughput Nucleotide Sequencing / Q000706:statistics & numerical data*; D006801:Humans; D009369:Neoplasms / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide; D017422:Sequence Analysis, DNA / Q000706:statistics & numerical data
chemical_list: D004273:DNA, Neoplasm
keywords: Somatic copy number alterations; algorithm comparison; cancer; whole-exome sequencing; whole-genome sequencing