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Erschienen in: International Journal of Legal Medicine 3/2017

13.09.2016 | Population Data

Population data and mutation rates of 19 STR loci in seven provinces from China based on Goldeneye™ DNA ID System 20A

verfasst von: Qiu-Ling Liu, Ye-Fei Chen, Xiao-Ling Huang, Kai-Yan Liu, Hu Zhao, De-Jian Lu

Erschienen in: International Journal of Legal Medicine | Ausgabe 3/2017

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Abstract

Short tandem repeat (STR) analysis is a primary tool in forensic casework. Population data and mutation rates of STRs are very important for paternity testing and forensic genetics. However, the population data and mutation rates of STRs in Han nationality based on large samples have still not been fully described in China. In this study, the allelic frequencies, forensic parameters, and mutation rate of 19 STR loci (D19S433, D5S818, D21S11, D18S51, D6S1043, D3S1358, D13S317, D7S820, D16S539, CSFIPO, PentaD, vWA, D8S1179, TPOX, Penta E, TH01, D12S391, D2S1338, and FGA) based on the Goldeneye™ DNA ID System 20A in Southern China Han nationality among seven provinces were investigated. Furthermore, population stratification of Southern China Han nationality among seven provinces was established. The multidimensional scaling (MDS) plot based on genetic distances (Fst) showed that the studied populations can be clustered into two major groups. However, relationships among populations were weak (Fst < 0.0043). A total of 376 cases of mutation were detected from the 19 selected loci in 15,396 meioses. The average mutation rate for the 19 loci was estimated to be 1.3 × 10−3 per meiosis. The mutation was mainly single step; the paternal mutation rate was higher than the maternal; and paternal mutation rate increases with paternal age.
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Metadaten
Titel
Population data and mutation rates of 19 STR loci in seven provinces from China based on Goldeneye™ DNA ID System 20A
verfasst von
Qiu-Ling Liu
Ye-Fei Chen
Xiao-Ling Huang
Kai-Yan Liu
Hu Zhao
De-Jian Lu
Publikationsdatum
13.09.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Legal Medicine / Ausgabe 3/2017
Print ISSN: 0937-9827
Elektronische ISSN: 1437-1596
DOI
https://doi.org/10.1007/s00414-016-1441-1

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