RESUMO
Objective To analyze a large number of DNA mixture de-convolution data with stochastic simulation method. Methods Using the software in Identifiler, PP18D, AGCU EX20, PP21, AGCU EX20 & AGCU 21+1 system, 1 million groups of STR genotyping of mixture were analyzed. The average de-convoluted loci (L), the average de-convoluted combinatorial number (Π) were counted out. Results In identifiler, PP18D, AGCU EX20, PP21, AGCU EX20 & AGCU 21+1 system, L were 4.8, 5.8, 6.7, 7.0, 11.1, and Π were 3.71×104, 1.06×105, 3.34×105, 6.40×105, 2.48×1012. Conclusion The result in this paper has some guiding significance in DNA mixture de-convolution followed by DNA Database search.
RESUMO
DNA mixture has been a problem to be conquered for a long time in the forensic study. The DNA mixtures can be mainly divided into two categories: one comes from the sex assaults, for which we have to detect the sperms among the large amount of vaginal epithelial cells; the other one is the combination of different common samples, such as blood mixtures, salvia-blood mixtures and so on. In recent years, deeper and deeper study on DNA mixtures has led a way to objectiveness and pluralism. Novel techniques, like fluorescence- or magnetic-activated cell sorting strategies,micromanipulation and acoustic different analysis can be utilized to separate sperms in the mixtures; as for the second sort, the application of massively parallel sequencing(MPS), microfluidic droplet, whole-genome amplification, emulsion PCR(ePCR) et al. rise up the chances to detect the minor contributor in the mixtures. Furthermore, the development of both traditional and novel biomarkers which includes STR, Y-STR, SNP, DIP, Microhaplotype, DIP-STR, SNP-STR,, mtDNA-SNP and so on, provide us more analyzing choices in mixture study. The last part of the assay focuses on the latest progresses of evaluating the number of contributors, the explanation theory and calculation software.