Table 1. Distinguishing features of three different DNA mixture interpretation methods.
TrueAllele | CPI | mCPI | ||
Peak data | Approach | quantitative | qualitative | qualitative |
Scale | continuous | binary | ternary | |
Height | used | |||
Pattern | used | |||
Threshold | analytical | analytical and stochastic | ||
Genotype | Inference | probability model | data above analyticalthreshold | data above analyticalthreshold |
Representation | allele pairs | alleles | alleles | |
Operation | automated | manual | manual | |
Inclusion | statistical | alleles | alleles | |
Contributor number | assumed | |||
Statistic | Comparison | with genotype | with alleles | with alleles |
Locus | all | inclusion | stochastic inclusion | |
Calculation | likelihood ratio | inclusion probability | inclusion probability | |
Application | include, exclude orinconclusive | include | include | |
Identification | information | inclusion | inclusion |
Attributes involving STR data usage, genotype inference and match statistic calculation are shown for the TrueAllele, CPI and mCPI methods.