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Cited by 22

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Population data and phylogenetic structure of Han population from Jiangsu province of China on GlobalFiler STR loci

Adnan, Atif, Zhan, Xiaoni, Kasim, Kadirya, Rakha, Allah, Xin, Xing Jia·2018·International Journal of Legal Medicine

Abstract

Forensic statistical parameters based on allelic frequencies of commonly used short tandem repeats were estimated for the Han population of Jiangsu province from P.R. China. The 6-dye GlobalFiler™ PCR amplification kit incorporates 21 autosomal STRs, providing reliable DNA typing results with enhanced the power of discrimination. Here, we analyzed the GlobalFiler™ STR loci in 516 unrelated individuals from Jiangsu Han population. A total of 256 alleles were observed ranging between 5 and 35.2 repeat units, and SE33 showed the greatest power of discrimination (34 alleles) in Jiangsu Han population. Most of the loci were found to be in the Hardy-Weinberg equilibrium after the Bonferroni correction with the exception of D3S1358. The combined power of exclusion (CPE) was 0.999999996353609, and the combined match probability (CMP) was 3.64 × 10 -25 . Phylogenetic parameters including pairwise genetic distances showed that Han population living in Jiangsu had closest genetic relationship with other East Asian populations. The present study provides precise reference database for forensic applications and population genetic studies.

Overview

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Crossref · 10.1007/s00414-018-1815-7

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Metadata

Authors
Adnan, A., Zhan, X., Kasim, K., Rakha, A., & Xin, X. J.
Venue
International Journal of Legal Medicine
Published
2018-03-02
Volume
132
Issue
5
Pages
1301-1304
ISSN
  • 0937-9827
  • 1437-1596
Cited by
22
References
21
Language
en
Licence
www.springer.com/tdm (tdm)
Funders
National Natural Science Foundation of China (81471826)

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.