RESUMO
We compare DNA mixture analysis via DNAËVIEW® Mixture Solution™ and the current combined probability of inclusion (CPI) method of the South African Police Service (SAPS). South Africa has a high incidence of property-related crimes and sexual offences and consequently a great deal of low-template (LT-DNA) forensic DNA mixture casework and a perpetual backlog. A range of casework and laboratory-prepared sexual assault mixtures with initial male DNA amounts varying from about 2 to 200 cells were analysed to evaluate the benefits of a continuous model program. Unfortunately CPI methods are nearly useless for LT-DNA cases because of dropout-common from a mixture contribution of fewer than 20 or 30 cells. We further argue that proposed CPI elaborations to circumvent dropout lack supporting research or even explanation. Mixture Solution models mixture data as continuous rather than binary, with a mathematically coherent ("probabilistic") model which incorporates dropout and other phenomena realistically. Much more information is thereby utilised resulting in applicability to more cases (7 or fewer contributor cells suffice), stronger evidence against a suspect who is a mixture contributor and stronger evidence to absolve a non-contributor. Mixture Solution incidentally provides information which, along with rfu data, allows estimating contributions in terms of number of cells, which is a useful perspective. The method of calculation is explained.
Assuntos
Impressões Digitais de DNA , DNA , Humanos , Laboratórios , Funções Verossimilhança , Masculino , Modelos EstatísticosRESUMO
Allele frequency distributions for 15 tetrameric short tandem repeat (STR) loci were determined using the AmpFlSTR® Identifiler Plus™ PCR amplification kit. There was little evidence of departures from Hardy-Weinberg equilibrium or association of alleles of different loci in the population samples. The probability of identity values for the different populations range from 1/3.3 × 10(17) (White) to 1/1.88 × 10(18) (Coloured). The combined probability of paternal exclusion for the different population groups ranges from 0.9995858 (Coloured) to 0.9997874 (Indian).