Literature DB >> 35403953

Improving DNA Data Capacity: Forensic Parameters and Genetic Structure Analysis of Jinjiang Han Population with the Microreader™ Y Prime Plus ID System.

Lu-Yao Li1, De-Qing Wu2, Li-Lan Yao3, Feng Li4, Chao Liu2, Fu-Quan Jia5.   

Abstract

OBJECTIVE: Population genetic analysis based on genetic markers harbors valuable forensic applications. In this regard, it is informative and imperative to explore Han groups as they are the largest population of China. In particular, there is a largely underrepresented amount of information from recent decades regarding the southeast costal Han Chinese. Therefore, the aim of this study is to investigate the available genetic characteristics of the Han population living in the Jinjiang, Fujian Province, Southeastern China.
METHODS: We sampled 858 saliva samples and used the commercially available Microreader™ Y Prime Plus ID System to identify population data of Y-short tandem repeat (STR) loci of this region.
RESULTS: A total of 822 different haplotypes were observed. The overall haplotype diversity, discriminatory power and haplotype match probability were 0.9999, 0.9999 and 0.0012, respectively.
CONCLUSION: Our results showed that the Jinjiang Han population was closely genetically related to Han groups of China. Overall, we identified a set of 37 Y-STRs that are highly polymorphic, and that can provide meaningful information in forensic practice and human genetic research.
© 2022. Huazhong University of Science and Technology.

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Keywords:  Jinjiang Han; Microreader™ Y Prime Plus ID System; Y-short tandem repeat; forensic genetics; haplotype diversity

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Year:  2022        PMID: 35403953     DOI: 10.1007/s11596-022-2570-z

Source DB:  PubMed          Journal:  Curr Med Sci        ISSN: 2523-899X


  1 in total

1.  Haplotype diversity and phylogenetic characteristics for Guanzhong Han population from Northwest China via 38 Y-STRs using Yfiler™ Platinum Amplification System.

Authors:  Luyao Li; Lilan Yao; Xin He; Huilin Gong; Yuan Deng; Mei Luan; Guanglin He; Fuquan Jia; Pengyu Chen
Journal:  Mol Genet Genomic Med       Date:  2020-03-12       Impact factor: 2.183

  1 in total

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