SNPscan

SNPscan analyzes high-density single nucleotide polymorphism (SNP) array data to detect chromosomal copy-number changes, microdeletions, microduplications, and regions of loss of heterozygosity, including uniparental isodisomy.


Key Features:

  • Quality Assessment: Compares SNP data against a benchmark dataset derived from a control population for visual and quantitative quality assessment.
  • Visualization of Chromosomal Anomalies: Displays SNP intensity and allelic call data to enable detection of chromosomal copy-number anomalies such as duplications and deletions.
  • Detection of Uniparental Isodisomy (UPD): Identifies uniparental isodisomy by analyzing loss of heterozygosity (LOH) across genomic regions.
  • Paired Sample Comparison: Compares paired samples (e.g., tumor and normal tissue) to identify genetic differences between samples.
  • Integration with Genome Browsers: Generates files compatible with the University of California, Santa Cruz (UCSC) Human Genome Browser for genomic-context visualization.

Scientific Applications:

  • Chromosomal Abnormality Detection: Characterizes aneuploidies, microdeletions, and microduplications in clinical and research samples.
  • UPD and LOH Analysis: Maps regions of loss of heterozygosity to detect uniparental isodisomy and other LOH-associated events.
  • Somatic Variation Analysis: Assesses genetic differences between paired samples such as tumor versus normal to identify somatic copy-number changes.
  • Genome-Context Interpretation: Produces UCSC Genome Browser-compatible files to facilitate interpretation of SNP-derived copy-number and LOH data in a genomic context.

Methodology:

Processes data exported from the Affymetrix Copy Number Analysis Tool; analyzes SNP intensity and allelic calls to detect copy-number anomalies and loss of heterozygosity; performs paired-sample comparisons; and outputs files compatible with the University of California, Santa Cruz (UCSC) Human Genome Browser.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Ting JC, Ye Y, Thomas GH, Ruczinski I, Pevsner J. Analysis and visualization of chromosomal abnormalities in SNP data with SNPscan. BMC Bioinformatics. 2006;7(1). doi:10.1186/1471-2105-7-25. PMID:16420694. PMCID:PMC1382255.

Documentation

Links