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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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DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their  survival. Therefore, the copying errors are checked and repaired at three levels.
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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Copy-number analysis by base-level normalization: An intuitive visualization tool for evaluating copy number

Hongkyung Kim1, Yeeun Shim2, Taek Gyu Lee2

  • 1Department of Laboratory Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.

Clinical Genetics
|September 24, 2022
PubMed
Summary

Copy-number Analysis by BAse-level NormAlization (CABANA) is a new tool for identifying copy number variations (CNVs) in next-generation sequencing (NGS) data. CABANA helps accurately detect CNVs in patients with genetic disorders, reducing the need for further testing.

Keywords:
CABANACNV visualizationNGScandidate CNVconfirmatory testsingle-base-level normalization

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Area of Science:

  • Genomics
  • Bioinformatics
  • Clinical Genetics

Background:

  • Next-generation sequencing (NGS) is crucial for diagnosing genetic disorders, detecting various mutations including copy number variations (CNVs).
  • Existing bioinformatics tools for CNV detection in NGS data can produce false positives, necessitating confirmation tests.
  • Accurate identification of CNVs is essential for improving diagnostic yield in unsolved genetic disorders.

Purpose of the Study:

  • To introduce Copy-number Analysis by BAse-level NormAlization (CABANA), a novel visualization tool for identifying candidate CNVs from NGS data.
  • To evaluate the effectiveness of CABANA in detecting true CNVs and reducing the need for follow-up confirmation tests.
  • To demonstrate CABANA's utility in the diagnosis of neuromuscular disorders.

Main Methods:

  • Developed CABANA, a visualization tool using normalized single-base-level read depth from NGS data.
  • Applied CABANA to NGS data from 474 patients with neuromuscular disorders.
  • Compared CABANA's CNV identification with a conventional tool (ExomeDepth) and confirmed findings using multiplex ligation-dependent probe amplification (MLPA).

Main Results:

  • Identified 31 candidate CNVs (7%) in 474 patients using CABANA.
  • All identified candidate CNVs were confirmed as true positives via MLPA.
  • CABANA demonstrated acceptable performance and diagnostic yield comparable to previous studies in neuromuscular disorders.

Conclusions:

  • CABANA enables intuitive identification of candidate CNVs from NGS data at the single-base level.
  • The tool shows promise in improving the accuracy and efficiency of CNV detection in genetic diagnostics.
  • CABANA may reduce the requirement for subsequent confirmation testing, streamlining the diagnostic process for rare diseases.