Genome-Wide Mapping of Copy Number Variation in Humans: Comparative Analysis of High Resolution Array Platforms

• Published in: PloS one Vol. 6; no. 11; p. e27859
• Main Authors: Haraksingh, Rajini R., Abyzov, Alexej, Gerstein, Mark, Urban, Alexander E., Snyder, Michael
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 30.11.2011; Public Library of Science (PLoS)
• Subjects: Algorithms; Arrays; Base Pairing - genetics; Biochemistry; Biology; Biophysics; Chromosome Mapping - methods; Chromosomes, Human, Pair 1 - genetics; Comparative analysis; Congenital diseases; Consortia; Copy number; Cytogenetics; Deoxyribonucleic acid; Developmental disabilities; Diagnostic tests; DNA; DNA Copy Number Variations - genetics; Gene mapping; Gene sequencing; Genes; Genome, Human - genetics; Genomes; Genomics; Genotyping; High resolution; Humans; Hybridization; Intellectual disabilities; Medicine; Oligonucleotide Array Sequence Analysis - methods; Platforms; Polymorphism; Reference Standards; Single nucleotide polymorphisms; Single-nucleotide polymorphism; Studies; Therapeutic applications; United States > US; Connecticut; California
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0027859

Accurate and efficient genome-wide detection of copy number variants (CNVs) is essential for understanding human genomic variation, genome-wide CNV association type studies, cytogenetics research and diagnostics, and independent validation of CNVs identified from sequencing based technologies. Numerous, array-based platforms for CNV detection exist utilizing array Comparative Genome Hybridization (aCGH), Single Nucleotide Polymorphism (SNP) genotyping or both. We have quantitatively assessed the abilities of twelve leading genome-wide CNV detection platforms to accurately detect Gold Standard sets of CNVs in the genome of HapMap CEU sample NA12878, and found significant differences in performance. The technologies analyzed were the NimbleGen 4.2 M, 2.1 M and 3×720 K Whole Genome and CNV focused arrays, the Agilent 1×1 M CGH and High Resolution and 2×400 K CNV and SNP+CGH arrays, the Illumina Human Omni1Quad array and the Affymetrix SNP 6.0 array. The Gold Standards used were a 1000 Genomes Project sequencing-based set of 3997 validated CNVs and an ultra high-resolution aCGH-based set of 756 validated CNVs. We found that sensitivity, total number, size range and breakpoint resolution of CNV calls were highest for CNV focused arrays. Our results are important for cost effective CNV detection and validation for both basic and clinical applications.