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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 Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

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Related Experiment Video

Updated: Jun 18, 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

SCAN: SNP and copy number annotation.

Eric R Gamazon1, Wei Zhang, Anuar Konkashbaev

  • 1Department of Medicine, The University of Chicago, Chicago, IL, USA.

Bioinformatics (Oxford, England)
|November 26, 2009
PubMed
Summary
This summary is machine-generated.

The SCAN database prioritizes genetic variants, including single nucleotide polymorphisms (SNPs) and copy number variations (CNVs), by integrating multiple data types. This aids in understanding complex traits and designing experimental validations.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Population Genetics

Background:

  • Genome-wide association studies (GWAS) identify associations between single nucleotide polymorphisms (SNPs) and complex phenotypes.
  • Copy number variations (CNVs) are increasingly recognized for their role in complex traits.
  • Interpreting large-scale genetic data requires effective prioritization methods.

Purpose of the Study:

  • To develop a database (SCAN) for prioritizing genetic variants.
  • To integrate diverse annotation data for variant interpretation.
  • To facilitate follow-up experimental validation of genetic findings.

Main Methods:

  • Developed the SCAN database integrating physical, functional, linkage disequilibrium (LD), and expression quantitative trait loci (eQTL) annotations.
  • Incorporated data from HapMap samples (CEU and YRI) for eQTL mapping and LD analysis.
  • Aggregated summary information from public databases and other GWAS.

Main Results:

  • SCAN provides comprehensive annotations for SNPs, including eQTLs, LD information, and platform coverage.
  • Gene-centric annotations in SCAN include eQTLs and variant coverage across high-throughput platforms.
  • Region-specific annotations cover SNPs, genes, CNVs, and eQTL-regulated genes.

Conclusions:

  • The SCAN database offers a centralized resource for prioritizing genetic variants from GWAS and CNV studies.
  • Integration of multiple annotation types enhances the interpretation of complex trait-associated variants.
  • SCAN supports the design of targeted experimental validations for genetic research.