We assessed the concordance of the novel nonparametric classification with a gold-standard Bayesian approach for 175 pairs of recurrent P. We validated this procedure using two independent approaches to calculating genetic distance. The method is designed to work with any arbitrary genetic distance definition. Third, the genetic distance between paired samples is computed, and paired samples with genetic distances below the threshold are classified as related. Second, a threshold genetic distance is computed from this empiric distribution of distances to demarcate genetic distances that are unlikely to have arisen by chance. First, the background distribution of genetic distance between unrelated strains is computed. Here, we introduce a novel method for nonparametric statistical testing of relatedness for P. However, factors such as mixed-strain infections, allelic suppression, imprecise typing methods, and heterozygosity complicate comparisons of apicomplexan genotypes. Previous methods have focused on determining a priori definitions of the level of genetic similarity sufficient to classify two infections as sharing the same strain.
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