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Updated: Jun 19, 2026

Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants
Published on: February 21, 2015
Exon-focused targeted oligonucleotide microarray design increases detection of clinically relevant variants across
Jana Jezkova1, Jade Heath1, Angharad Williams1
1All Wales Medical Genomics Service, Cardiff and Vale University Health Board, NHS Wales, Cardiff, UK.
New high-density exon-focused arrays significantly improve diagnostic yield for developmental disorders by detecting intragenic deletions and duplications missed by traditional methods.
Area of Science:
- Genomics
- Clinical Diagnostics
- Human Genetics
Background:
- Chromosomal microarrays are standard for postnatal constitutional genome analysis.
- Current arrays often miss intragenic deletions/duplications, a key disease mechanism.
- High-resolution oligonucleotide arrays targeting single exons offer improved detection.
Purpose of the Study:
- To compare the diagnostic performance of traditional vs. new exon-focused oligo-array CGH designs.
- To evaluate the effectiveness of enhanced exon-level coverage for detecting intragenic aberrations.
- To assess the impact on diagnostic yield in patients with developmental disorders.
Main Methods:
- Retrospective analysis of 27,756 patient samples from UK genomic centres.
- Comparison of two oligo-array CGH designs: traditional (v2) and exon-focused (v3).
- Subset analysis (n=19,675) from labs using both array designs.
Main Results:
- The new exon-focused array (v3) successfully detected intragenic aberrations missed by the v2 array.
- This targeted design demonstrated a significant improvement in diagnostic yield.
- Updated genomic data informed the design of the v3 array for enhanced coverage.
Conclusions:
- High-density, exon-targeted oligo-array CGH is a powerful tool for detecting intragenic deletions and duplications.
- The v3 array design represents a significant advancement over traditional arrays for constitutional genome analysis.
- Improved diagnostic yield is achieved through enhanced detection of pathogenic intragenic variants.
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