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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%...
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...
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,...
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...
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 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.

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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

Including copy number variation in association studies to predict genotypic values.

M P L Calus1, D J DE Koning, C S Haley

  • 1Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, 8200 AB, Lelystad, The Netherlands. mario.calus@wur.nl

Genetics Research
|June 3, 2010
PubMed
Summary

Including copy number polymorphism (CNP) and single nucleotide polymorphism (SNP) data improves genetic variation models. Continuous CNP measures, combined with SNP genotypes, enhance the power to explain genetic variation at CNP loci.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Statistical Genetics

Background:

  • Genetic variation is influenced by various polymorphisms, including copy number polymorphisms (CNPs) and single nucleotide polymorphisms (SNPs).
  • Understanding how to best model the contribution of CNPs to genetic variation is crucial for genetic studies.
  • CNPs present unique modeling challenges due to factors like higher mutation rates compared to SNPs.

Purpose of the Study:

  • To investigate the effectiveness of including CNP genotypes or continuous derivations in genetic models.
  • To assess the combined effect of CNPs and nearby SNPs on explaining genetic variation.
  • To compare empirical results with deterministic predictions for genetic variation models.

Main Methods:

  • Empirical and deterministic investigations of genetic variation models.
  • Simulations were used to analyze the linkage disequilibrium (LD) between SNPs and CNPs.
  • Models incorporated CNP genotypes and continuous CNP measures, with and without nearby SNP genotypes.

Main Results:

  • Linkage disequilibrium between SNPs and CNPs was found to be lower than between two SNPs.
  • Empirical R(2) values from simulations closely matched predictions from deterministic formulae.
  • Including a continuous CNP measure alongside SNP genotypes significantly increased the power to explain variation at the CNP locus.

Conclusions:

  • Continuous measures of CNP genotypes, when integrated with SNP data, offer a powerful approach to explaining genetic variation.
  • The findings support the utility of incorporating both CNP and SNP information for more comprehensive genetic analyses.
  • Deterministic models can accurately predict the performance of genetic variation models incorporating CNPs.