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Related Experiment Videos

SNP Function Portal: a web database for exploring the function implication of SNP alleles.

Pinglang Wang1, Manhong Dai, Weijian Xuan

  • 1Molecular and Behavioral Neuroscience Institute and Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.

Bioinformatics (Oxford, England)
|July 29, 2006
PubMed
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The SNP Function Portal integrates diverse functional annotation data for single nucleotide polymorphisms (SNPs). This resource aids researchers in understanding the biological impact of genetic variations and facilitates genome-wide association study discoveries.

Area of Science:

  • Genomics
  • Bioinformatics
  • Population Genetics

Background:

  • Interpreting single nucleotide polymorphism (SNP) functional significance is challenging due to scattered data across multiple databases.
  • Existing resources often lack comprehensive functional annotation for SNPs.

Purpose of the Study:

  • To create a centralized resource, the SNP Function Portal, for consolidating SNP functional annotation data.
  • To facilitate the understanding of potential functional significance of SNPs from genome-wide scanning results.

Main Methods:

  • The SNP Function Portal aggregates public domain and in-house functional annotations.
  • It incorporates data across six categories: genomic elements, transcription regulation, protein function, pathways, disease, and population genetics.

Related Experiment Videos

  • A search engine links genetic markers to related SNPs using HapMap Phase II data and known gene relationships.

    • Main Results:

    • The portal provides extensive SNP functional annotations.
    • It enables identification of genetically related SNPs and their connections to genes.
    • Users can explore complex relationships among genetic markers and genes.

    Conclusions:

    • The SNP Function Portal serves as a clearinghouse for SNP functional data, simplifying knowledge discovery.
    • It empowers researchers to assess the biological impact of genetic markers in genome-wide studies.
    • This resource significantly aids in interpreting genome-wide SNP scanning results.