| Literature DB >> 29778046 |
Peng Chen1, Caiyong Yin2, Zheng Li2, Yan Pu3, Youjia Yu2, Peng Zhao4, Dexin Chen5, Weibo Liang3, Lin Zhang3, Feng Chen6.
Abstract
The identification of a suspect in a DNA mixture typed with the standard short tandem repeat polymorphism (STR) kits has faced challenges. Several improved methods or technologies have been introduced to address this issue. However, some complex situations in the process remain elusive. In the present study, we presented a panel of 26 tiny microhaplotypes, each generating a relatively high (>3.0) effective number of alleles (Ae) and possessing low (<50 bp) sequence lengths. The average Ae and heterozygosity values among the 9 populations of 26 microhaps were in ranges from 2.60 to 4.54 and 0.59 to 0.96, respectively. Power of discrimination and power of exclusion values were ranged from 0.49 to 0.87 and 0.29 to 0.94, respectively. Significant positive correlations have been found between Ae values and heterozygosity (r = 0.43, p = 0.02) or power of discrimination values (r = 0.55, p = 0.003), respectively. The cumulative probability of detecting a mixture of two unrelated individuals could reach 0.9999998 when using a panel of 26 microhaps with Ae = 3. We further tested the panel by using massively parallel sequencing, and 14 out of 26 microhaps were successfully genotyped in a single multiplex system. 60 unrelated Chinese Han individuals and 2 artificially prepared samples mixed by two unrelated contributors (in duplicate, ie. 4 mixtures) were sequenced. Approximately 32.14% of the 14 loci presented three or four alleles in the two mixtures. The likelihood ratio values to cognizance the mixtures' contributor were in a range from 1.95 × 106 to 1.10 × 107. The results demonstrated that the present panel could offer a valuable complementary tool in forensic applications.Keywords: Effective number of alleles, A(e); Likelihood ratio; Microhaplotype; Mixture
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Year: 2018 PMID: 29778046 DOI: 10.1016/j.fsigen.2018.05.003
Source DB: PubMed Journal: Forensic Sci Int Genet ISSN: 1872-4973 Impact factor: 4.882