Abstract
We have analyzed 24 loci including autosomal and Y-chromosomal short tandem repeats (STRs), Y-indel, and sex-determining marker in a sample of 267 unrelated individuals from the Mongolian population using the GlobalFiler™ PCR Amplification Kit to provide an expanded and more reliable forensic database. Khalkh among 15 Mongolian minor-groups accounts for about 80% of the entire Mongolian population. A total of 267 different DNA profiles were found in this work. The highest gene diversity was observed in the SE33 (0.9376) locus, and the lowest value was found in the TPOX (0.6142) locus. Although individual power of discrimination estimates varied at the studied loci, combined probability of match from the 21 STR loci was estimated to be 1.139 × 10−24, which is highly informative. Based on the results of pairwise F ST genetic distances and multi-dimensional scaling plot showed that Mongolians were clustered into Europeans and Asians, although Mongolia is geographically located in Northeastern Asia. Thus, the present survey of the Mongolian population may help establish a comprehensive reference database for forensic and population genetic analyses.
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Acknowledgements
We are grateful to all the volunteers for providing DNA samples in Mongolia. Technical assistance for the DNA preparation and PCR amplification of the sample in this study by Sun Yoon, A-Young Sim, Ji-Eun Lee, and Eun-Bi Shin was also greatly appreciated. This research was supported by a fund (NFS2015DNA06/NFS2016DNA04) from the Forensic Research Program of the National Forensic Service, South Korea. The National Institute of Forensic Science, Ulaanbaatar, Mongolia supports Ganbold Suren. This work is also supported in part by DANKOOK ChemBio Specialization for the Creative Korea-II (2016).
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The study was approved by the Ethics Committee and Institutional Review Board of Dankook University, Republic of Korea.
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Choi, EJ., Park, KW., Lee, YH. et al. Forensic and population genetic analyses of the GlobalFiler STR loci in the Mongolian population. Genes Genom 39, 423–431 (2017). https://doi.org/10.1007/s13258-016-0511-6
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DOI: https://doi.org/10.1007/s13258-016-0511-6