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Related Concept Videos

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Related Experiment Video

Updated: Sep 13, 2025

Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants
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High-resolution Chromosomal Microarray with Diagnostic Potential for Detecting Exon-level Copy Number Variations

Yeseul Kim1, Jee-Soo Lee1, Boram Kim2

  • 1Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.

Annals of Laboratory Medicine
|July 30, 2025
PubMed
Summary

The CytoScan XON Array effectively detects exon-level copy number variations (CNVs) in targeted regions, showing high concordance. Further optimization is needed for single-exon CNVs, with cross-validation recommended for improved diagnostic accuracy.

Keywords:
CytoScan XON ArrayDNA copy number variationsGenome sequencing–based copy number variation calling approachesMicroarray analysis

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Area of Science:

  • Genetics
  • Molecular Biology
  • Clinical Diagnostics

Background:

  • Copy number variations (CNVs) are significant contributors to human genetic disorders.
  • Accurate detection of exon-level CNVs is critical for clinical diagnosis.
  • The CytoScan XON Array is a new high-resolution microarray designed for exonic CNV detection.

Purpose of the Study:

  • To evaluate the clinical performance and diagnostic utility of the CytoScan XON Array.
  • To compare the array's performance against orthogonal methods and genome sequencing (GS)-based CNV callers.
  • To assess the array's reliability in detecting exon-level CNVs.

Main Methods:

  • Clinical evaluation using 59 patient samples with pre-identified CNVs.
  • Orthogonal validation via multiple ligation-dependent probe amplification (MLPA), gene-dose PCR, and mRNA assays.
  • Comparison with GS-based CNV calling tools for non-target regions and false-positive analysis.

Main Results:

  • High concordance rates for the CytoScan XON Array: 89.8% at the exon level and 92.5% at the gene level in target regions.
  • Superior concordance for multi-exon CNVs (100%) compared to single-exon CNVs (82.6%).
  • Reduced false-positive CNV calls in non-target regions (<0.01 per gene per person) and comparable performance to GS tools in dosage-sensitive genes.

Conclusions:

  • The CytoScan XON Array is a reliable tool for detecting exon-level CNVs in targeted regions.
  • It serves as a valuable complement to GS-based CNV calling tools for high-resolution, genome-wide screening.
  • Further optimization for single-exon CNV detection and cross-validation with GS tools are recommended for enhanced diagnostic accuracy.