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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.
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Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants
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Array-Based Comparative Genomic Hybridization (aCGH).

Chengsheng Zhang1, Eliza Cerveira2, Mallory Romanovitch2

  • 1The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032, USA. chengsheng.zhang@jax.org.

Methods in Molecular Biology (Clifton, N.J.)
|December 3, 2016
PubMed
Summary
This summary is machine-generated.

This study details a microarray method for detecting copy number variations (CNVs), loss of heterozygosity (LOH), and uniparental disomy (UPD). These genomic alterations are crucial for understanding human evolution, diversity, and disease susceptibility.

Keywords:
Array-based comparative genomic hybridization (aCGH)Copy number variation (CNV)Loss of heterozygosity (LOH)MicroarraySingle nucleotide polymorphism (SNP)Uniparental disomy (UPD)

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Area of Science:

  • Genomics
  • Human Genetics
  • Molecular Biology

Background:

  • Copy number variations (CNVs) are significant in human evolution, genetic diversity, and disease.
  • Various methods exist for CNV detection, including FISH, aCGH, PCR, and NGS.
  • Understanding CNVs is key to diagnosing genetic disorders.

Purpose of the Study:

  • To describe a microarray-based method for detecting genome-wide CNVs.
  • To illustrate the application of this method for identifying loss of heterozygosity (LOH) and uniparental disomy (UPD).
  • To highlight the relevance of these genomic alterations in constitutional and neoplastic disorders.

Main Methods:

  • A microarray-based assay was employed for genome-wide analysis.
  • The method facilitates the detection of copy number variations (CNVs).
  • It also enables the identification of loss of heterozygosity (LOH) and uniparental disomy (UPD).

Main Results:

  • The described microarray method effectively detects genome-wide CNVs.
  • The assay successfully identified LOH and UPD in relevant samples.
  • This approach provides valuable insights into genomic alterations in various disorders.

Conclusions:

  • Microarray analysis is a powerful tool for detecting CNVs, LOH, and UPD.
  • This method aids in the diagnosis and understanding of constitutional and neoplastic disorders.
  • The study underscores the importance of CNVs in human genetics and disease.