SNP HiTLink
SNP HiTLink facilitates integration of microarray-based SNP data with linkage analysis programs to enable high-throughput genetic linkage studies for disease gene mapping.
Key Features:
- Direct Import and Compatibility: Directly imports SNP chip data from Affymetrix Mapping 100 k/500 k array sets and Genome-Wide Human SNP arrays 5.0/6.0 and interfaces with MLINK, Superlink, Merlin, and Allegro for linkage analysis.
- High-Throughput Processing: Processes large-scale SNP datasets to reduce analysis time relative to traditional microsatellite-based analyses.
- Marker Selection Functions: Implements marker-selection functions to mitigate typing errors, handle markers in linkage equilibrium, and select informative markers for analysis.
- Performance and Efficiency: Optimized for runtime efficiency, with whole-genome analyses typically completing within a few hours on general personal computers.
- LOD Score Performance: Produces LOD scores comparable to or superior to those obtained from microsatellite markers.
Scientific Applications:
- Disease Locus Identification: Identification of loci associated with disease genes through linkage analysis using microarray-based SNP markers.
- Genome-Wide Linkage Scans: Enabling genome-wide linkage studies using high-density SNP arrays such as Affymetrix Mapping 100 k/500 k and Genome-Wide Human SNP arrays 5.0/6.0.
- Comparative Linkage Analysis: Comparing SNP-based linkage results to microsatellite marker-based analyses via LOD score assessment.
Methodology:
Direct importation of SNP data into linkage analysis programs, application of marker-selection functions to filter and select informative SNPs, and support for parametric and model-free linkage analyses.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Windows
- Programming Languages:
- Perl
- Added:
- 12/18/2017
- Last Updated:
- 11/24/2024
Operations
Publications
Fukuda Y, Nakahara Y, Date H, Takahashi Y, Goto J, Miyashita A, Kuwano R, Adachi H, Nakamura E, Tsuji S. SNP HiTLink: a high-throughput linkage analysis system employing dense SNP data. BMC Bioinformatics. 2009;10(1). doi:10.1186/1471-2105-10-121. PMID:19393044. PMCID:PMC2680848.