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when parentage analysis is carried out using real data, the confidence of parentage assignments can be determined.
Four different types of parentage tests can be simulated: maternity analysis, paternity analysis, parent pair analysis where the sexes of candidate parents are known and parent pair analysis where the sexes of candidate parents are unknown.
The simulation is based on the allele frequencies and the number of candidate parents to be tested for each offspring. The simulation also takes account of factors that may hinder analysis, including the presence of unsampled candidate parents and gaps and errors in the genotype data.
Parentage analysis
The parentage analysis module is designed to make the time-consuming task of testing many candidate parents against many offspring a relatively straightforward task, with clearly interpretable results. For each offspring tested, parentage is either assigned to the most-likely candidate parent with a pre-determined level of confidence, or is left unassigned.
Providing that no unreasonable assumptions are made in constructing lists of candidate parents, and that resolving power of the loci is sufficient, the output is
suitable for unbiased estimation of individual reproductive success and its variance, as well as for pedigree reconstruction.
Identity analysis
This analysis is used to identify individuals that have been resampled, even if the two genotypes do not match precisely. Identity analysis is particularly useful for studies using non-invasive tissue sampling or where samples are obtained from unmarked individuals.