Efficient detection of chromosome imbalances and single nucleotide variants using targeted sequencing in the clinical setting

Abstract We evaluated an approach to detect copy number variants (CNVs) and single nucleotide changes (SNVs), using a clinically focused exome panel complemented with a backbone and SNP probes that allows for genome-wide copy number changes and copy-neutral absence of heterozygosity (AOH) calls; this approach potentially substitutes the use of chromosomal microarray testing and sequencing into a single test. A panel of 16 DNA samples with known alterations ranging from megabase-scale CNVs to single base modifications were used as positive controls for sequencing data analysis. The DNA panel included CNVs (n = 13) of variable sizes (23 Kb to 27 Mb), uniparental disomy (UPD; n = 1), and single point mutations (n = 2). All DNA sequence changes were identified by the current platform, showing that CNVs of at least 23 Kb can be properly detected. The estimated size of genomic imbalances detected by microarrays and next generation sequencing are virtually the same, indicating that the resolution and sensitivity of this approach are at least similar to those provided by DNA microarrays. Accordingly, our data show that the combination of a sequencing platform comprising focused exome and whole genome backbone, with appropriate algorithms, enables a cost-effective and efficient solution for the simultaneous detection of CNVs and SNVs.