FastSNP

FastSNP prioritizes single nucleotide polymorphisms (SNPs) by assessing phenotypic risk and predicted functional effects to support association studies and identification of functional variants.


Key Features:

  • Phenotypic Risk-Based Prioritization: Prioritizes SNPs by evaluating phenotypic risks and predicted functional effects for use in association studies.
  • Integration of Heterogeneous Biological Databases: Aggregates annotations by accessing data from 11 external web servers.
  • Real-Time Data Extraction: Extracts functional effect information in real time at query time using web wrapper agents.
  • Extendability: Supports deployment of additional web wrapper agents to incorporate new data sources.
  • Validation through Empirical Analysis: Validated using 1569 SNPs from the SNP500Cancer database, showing that SNPs with high predicted risks tend to have low minor allele frequencies.
  • Discovery of Promoter Polymorphisms: Facilitated discovery of novel promoter polymorphisms over a two-year period of use.

Scientific Applications:

  • Association studies: Prioritizes candidate SNPs to link genetic variation with specific traits or diseases.
  • Genomics and personalized medicine: Narrows candidate variants for disease prediction, prevention, and treatment.
  • Functional variant identification: Identifies SNPs with putative functional effects for experimental follow-up.

Methodology:

Performs real-time data extraction from multiple external databases via web wrapper agents, integrates annotations from 11 external web servers, and prioritizes SNPs by evaluating phenotypic risk and predicted functional effects; validation compared predicted risks to minor allele frequencies using 1569 SNPs from the SNP500Cancer database.

Topics

Details

Tool Type:
web application
Added:
2/10/2017
Last Updated:
12/10/2018

Operations

Publications

Yuan HY, et al. FASTSNP: an always up-to-date and extendable service for SNP function analysis and prioritization. Nucleic Acids Res. 2006; 34:W635-41. doi: 10.1093/nar/gkl236

PMID: 16845089