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Comparing Copy Number Variations and SNPs

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-SNPs

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-wide Association Studies-GWAS

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...

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Detection of Copy Number Alterations Using Single Cell Sequencing

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

CNVD: text mining-based copy number variation in disease database.

Fujun Qiu¹, Yan Xu, Kening Li

¹College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.

|July 25, 2012

Summary

Copy number variations (CNVs) are linked to complex diseases. The Copy Number Variation in Disease (CNVD) database systematically organizes CNV-disease relationships from extensive research, aiding disease pathology studies.

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Detection of Rare Mutations in CtDNA Using Next Generation Sequencing

Detection of Rare Mutations in CtDNA Using Next Generation Sequencing

Published on: August 24, 2017

Area of Science:

Genomics
Medical Genetics
Bioinformatics

Background:

Copy number variation (CNV) represents a significant class of chromosomal structural variations.
CNVs are prevalent across species and increasingly implicated in complex human diseases.
Existing research on CNVs and disease is fragmented, lacking systematic organization.

Purpose of the Study:

To create a comprehensive database consolidating information on CNVs and associated diseases.
To facilitate systematic research into the role of chromosomal variations in disease pathology.
To provide a user-friendly platform for accessing and analyzing CNV-disease data.

Main Methods:

Manual text mining of 6301 published research papers.
Data compilation for the Copy Number Variation in Disease (CNVD) database.
Development of multiple query modes and data visualization tools.

Main Results:

The CNVD database integrates CNV information for 792 diseases across 22 species.
Data is derived from diverse experimental approaches, ensuring high confidence.
The database provides a comprehensive overview of CNV-disease associations.

Conclusions:

CNVD offers a centralized, high-quality resource for studying the link between CNVs and diseases.
The database supports research into the pathological mechanisms of diseases driven by chromosomal variations.
CNVD serves as a valuable platform for advancing disease research through the analysis of structural variations.