کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6553229 | 1422143 | 2018 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Evaluation of the Microhaplotypes panel for DNA mixture analyses
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
ژنتیک
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چکیده انگلیسی
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 (<50â¯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 (râ¯=â¯0.43, pâ¯=â¯0.02) or power of discrimination values (râ¯=â¯0.55, pâ¯=â¯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 Aeâ¯=â¯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 1.95â¯Ãâ¯106 to 1.10â¯Ãâ¯107. The results demonstrated that the present panel could offer a valuable complementary tool in forensic applications.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Forensic Science International: Genetics - Volume 35, July 2018, Pages 149-155
Journal: Forensic Science International: Genetics - Volume 35, July 2018, Pages 149-155
نویسندگان
Peng Chen, Caiyong Yin, Zheng Li, Yan Pu, Youjia Yu, Peng Zhao, Dexin Chen, Weibo Liang, Lin Zhang, Feng Chen,