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Related Concept Videos

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

16.7K
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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DNA Microarrays02:34

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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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Updated: May 7, 2025

Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants
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Detection of Clinically Relevant Monogenic Copy-Number Variants by a Comprehensive Genome-Wide Microarray with Exonic

Matthew Hoi Kin Chau1,2,3,4, Stephanie A Anderson2, Rodger Song2

  • 1Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States.

Clinical Chemistry
|January 3, 2025
PubMed
Summary
This summary is machine-generated.

Chromosomal microarray analysis (CMA) with exon-level probes effectively detects small, single-gene copy-number variants (CNVs). This advancement improves diagnostic yield for Mendelian disorders caused by these underrecognized genetic variations.

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Area of Science:

  • Genetics
  • Genomic Medicine
  • Molecular Diagnostics

Background:

  • Copy-number variants (CNVs) are key genetic drivers of disease, often affecting multiple genes.
  • Detecting small CNVs impacting single genes has been a significant challenge in genetic diagnostics.

Purpose of the Study:

  • To evaluate the efficacy of a custom chromosomal microarray analysis (CMA) with high-density, exon-targeted probes for detecting single-gene CNVs.
  • To assess the clinical significance and frequency of monogenic CNVs in a large patient cohort.

Main Methods:

  • Utilized a custom comprehensive CMA (Baylor College of Medicine v11.2) with 400k probes and exonic coverage for over 4200 genes.
  • Analyzed CMA data from over 13,000 patients referred for genetic investigation.
  • Investigated the genomic characteristics of CNVs affecting single protein-coding genes.

Main Results:

  • Identified 190 pathogenic or likely pathogenic (P/LP) monogenic CNVs in 188 patients, representing 9.9% of P/LP CMA findings.
  • A significant proportion (57.9%) of these monogenic CNVs were smaller than 50 kb.
  • Detected CNVs across 107 unique genes, associated with autosomal dominant, X-linked, and autosomal recessive conditions.

Conclusions:

  • CMA with exon-targeted probes enhances detection of small, single-gene CNVs, increasing clinical sensitivity.
  • This approach successfully identified monogenic CNVs as a cause of Mendelian disorders, particularly autosomal and X-linked.
  • Monogenic CNVs are an underrecognized but significant cause of inherited diseases.