We've updated our Privacy Policy to make it clearer how we use your personal data. We use cookies to provide you with a better experience. You can read our Cookie Policy here.


CytoSure NGS Panel for Constitutional Cytogenetics

CytoSure NGS Panel for Constitutional Cytogenetics content piece image
Listen with
Register for free to listen to this article
Thank you. Listen to this article using the player above.

Want to listen to this article for FREE?

Complete the form below to unlock access to ALL audio articles.

Read time: Less than a minute

Oxford Gene Technology (OGT) has launched a next-generation sequencing (NGS) panel for constitutional cytogenetics research. The CytoSure™ Constitutional NGS Panel contains hand-curated content for intellectual disability (ID) and developmental delay (DD) research. Aiming to deliver accurate and reliable detection of copy number variations (CNVs), single nucleotide variations (SNVs), insertion/deletions (indels) and loss of heterozygosity (LOH) – including in mosaic samples – the panel combines the benefits of NGS and microarrays in one assay.

Data produced from the CytoSure Constitutional NGS panel aims to be of high quality and show high concordance with arrays. The intuitive, user-friendly software can reduce the need for large bioinformatics teams to work alongside labs for data analysis.

The empirically-optimized CytoSure Constitutional NGS panel, designed in collaboration with leading cytogenetics experts and consortia, targets over 700 genes at the exon level. The panel has been rigorously tested in cytogenetics labs in order to ensure the highest possible performance and confidence in results.

Designed to be run on the Illumina NextSeq™ or NovaSeq™, the CytoSure Constitutional NGS solution includes hybridization capture baits, a complete library preparation kit (including hyb/wash buffer) and powerful complimentary analysis software for SNV, indel, CNV and LOH interpretation.

Available at a similar cost to arrays, the CytoSure Constitutional NGS panel is intended to offer a more cost-effective solution than whole-exome sequencing, reducing the costs of data storage whilst minimizing detection of variants of uncertain significance (VUS) which are often seen as time-consuming to analyze.