Snagger: A Software for Selecting Tag SNPs
Author Information
Author(s): Christopher K. Edlund, Won H. Lee, Dalin Li, David J. Van Den Berg, David V. Conti
Primary Institution: Keck School of Medicine, University of Southern California
Hypothesis
Snagger improves SNP selection by accounting for genotyping failures and prioritizing SNP characteristics.
Conclusion
Snagger enhances tagSNP selection by providing reliable options for capturing genetic variation across populations.
Supporting Evidence
- Snagger selected fewer tagSNPs than Tagger while maintaining similar coverage.
- The software allows for prioritization of SNPs based on functionality and design scores.
- Snagger can select tagSNPs across multiple populations, improving genetic diversity capture.
Takeaway
Snagger is a computer program that helps scientists choose important genetic markers while making sure they work well across different groups of people.
Methodology
Snagger uses pairwise linkage disequilibrium to select tagSNPs based on user-defined characteristics and genotyping success.
Limitations
The software may still miss some SNPs due to the inherent limitations of the algorithms used.
Participant Demographics
The study involved 60 CEPH founder samples from northern and western Europe.
Digital Object Identifier (DOI)
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