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Related Concept Videos

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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%...
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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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Related Experiment Video

Updated: Jun 20, 2026

Detection of Copy Number Alterations Using Single Cell Sequencing
09:45

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

Comparing CNV detection methods for SNP arrays.

Laura Winchester1, Christopher Yau, Jiannis Ragoussis

  • 1Oxford University, Oxford, UK.

Briefings in Functional Genomics & Proteomics
|September 10, 2009
PubMed
Summary
This summary is machine-generated.

Whole genome association studies (WGAS) can identify genetic variations and detect copy number changes. This review covers methods using single nucleotide polymorphism (SNP) data for copy number detection and evaluation.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Genomic analysis

Background:

  • Whole genome association studies (WGAS) traditionally focus on genotyping.
  • These studies generate rich data suitable for additional analyses.
  • Copy number variations (CNVs) are significant in genetic diversity and disease.

Purpose of the Study:

  • To review methods for detecting copy number events using single nucleotide polymorphism (SNP) data from WGAS.
  • To evaluate algorithms and statistical models for CNV detection.
  • To compare the accuracy of different CNV detection approaches.

Main Methods:

  • Examination of algorithms utilizing signal-intensity data for copy number change detection.
  • Description of statistical models applied to germline samples for CNV analysis.
  • Comparison of various methods to assess prediction accuracy and detection capabilities.

Main Results:

  • WGAS data offers a dual utility for both genotyping and copy number detection.
  • Several algorithms and statistical models are effective for identifying CNVs.
  • Comparative analysis provides insights into the accuracy of different detection methods.

Conclusions:

  • SNP data from WGAS is a valuable resource for CNV detection.
  • A range of methods exist for analyzing signal-intensity data to identify copy number variations.
  • Understanding these methods is crucial for accurate genomic analysis and interpretation.