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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,...
Genome Copying Errors02:46

Genome Copying Errors

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.
Genetic Variation01:25

Genetic Variation

Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles, which...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
Principles of Pharmacogenetics: Types of Genetic Variants01:27

Principles of Pharmacogenetics: Types of Genetic Variants

The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...

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Related Experiment Video

Updated: Jul 3, 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

Hidden copy number variation in the HapMap population.

John C Marioni1, Michael White, Simon Tavaré

  • 1Department of Oncology, Computational Biology Group, University of Cambridge, Cancer Research UK Cambridge Research Institute, Robinson Way, Cambridge, United Kingdom.

Proceedings of the National Academy of Sciences of the United States of America
|July 18, 2008
PubMed
Summary
This summary is machine-generated.

Copy number variations (CNVs) are common genetic differences. This study introduces a method using pedigree information to accurately assess CNV classification and identify false positives, improving disease association studies.

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Area of Science:

  • Genomics
  • Human Genetics
  • Bioinformatics

Background:

  • Copy number variation (CNV) is a significant source of genetic diversity.
  • Specific copy number variable regions (CNVRs) are linked to various diseases, highlighting their biological importance.
  • Accurate CNV calling and classification into 'losses' or 'gains' are crucial for genetic research.

Purpose of the Study:

  • To evaluate the performance of existing CNV classification methods using pedigree information.
  • To estimate the number of false-positive CNV classifications in current approaches.
  • To develop a method for inferring copy number variation on individual chromosomes and identifying misclassified CNVs.

Main Methods:

  • Utilized pedigree information to assess CNV classification accuracy in HapMap samples.
  • Developed a model to infer copy number variation on maternal and paternal chromosomes separately.
  • Quantified the prevalence of a specific class of inevitably misclassified CNVs.

Main Results:

  • Demonstrated that pedigree data can accurately estimate false-positive CNV classification rates per individual.
  • Showed that copy number variation can be inferred for each chromosome independently, overcoming limitations of aggregated data.
  • Identified and estimated the prevalence of a class of CNVs that are inherently misclassified by current technologies.

Conclusions:

  • Pedigree information provides a robust framework for validating CNV calling algorithms.
  • Inferring chromosomal-specific CNV is essential for accurate analysis and avoids systematic misclassification.
  • The proposed methodology can enhance the reliability of CNV detection in future genomic studies and disease association analyses.