Accurate Prediction of Chromosome-Level CNVs from Targeted NGS

Background: Aneuploidy and large-scale Copy Number Variations (CNVs) are prominent features of cancer cells. While Fluorescence in situ hybridization (FISH) and conventional cytogenetics (CC) are the gold standard for detecting aneuploidy and CNVs, NGS-based assays are currently used for high-resolution detection of copy number alterations assessing the whole genome. However, although an increasing number of NGS-based tools have been developed for detecting aneuploidy or CNVs from whole genome or exome sequencing data, only a limited number of options are available for targeted gene panels. Despite mechanisms provided to establish normal profiles for a specific panel, the accuracy of these tools at the chromosome level suffer when only a small number of regions are targeted on each chromosome. Here we leveraged on a custom amplicon based NGS assay designed to detect somatic alterations (SNVs and indels) in 297 hematological cancer relevant genes, previously validated in our clinical laboratory. We introduce a simple approach to accurately predict chromosome-level CNVs such as monosomy and trisomy for a targeted gene panel, commonly used in a clinical setting.