Publications by authors named "Ian P Dusenberry"
Article Synopsis
- We compared seven SNP tagging programs across 10 regions with varying levels of linkage disequilibrium (LD) using a dataset from the Genetics of Alcoholism study.
- Despite differences in parameters and methods, the programs showed consistency in regions with moderate to strong LD.
- In one region with strong LD, as the number of selected SNPs increased, metrics like LOD score, mean information content, and type I error also rose.
Genome-wide linkage analysis using microsatellite markers has been successful in the identification of numerous Mendelian and complex disease loci. The recent availability of high-density single-nucleotide polymorphism (SNP) maps provides a potentially more powerful option. Using the simulated and Collaborative Study on the Genetics of Alcoholism (COGA) datasets from the Genetics Analysis Workshop 14 (GAW14), we examined how altering the density of SNP marker sets impacted the overall information content, the power to detect trait loci, and the number of false positive results.
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