What is aggressive tagging?
The major advance in Tagger is to improve tagging efficiency by aggressively searching for multi-marker predictors to capture all alleles of interest (SNPs and/or haplotypes). Since all marker combinations (even for a modest number of SNPs in the data set) are impossible to evaluate, the search for an effective predictor for an allele is limited by a heuristic based on the underlying LD structure. You can limit the search by setting the LOD score between markers (higher is stricter but may give less efficiency gain); number of iterations (lower is less computational burden); the maximal number of markers to be included in a predictor (lower is less computational burden); and the maximum number of tests allowed to find a good predictor for each allele (lower is less computational burden).
