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Detection of Ancestry Information of Urumqi Mongolians Based on the AIM-InDels Loci Multiplex System.

Authors :
Shen CM
Xie T
Mei SY
Fang YT
Lan Q
Liu YF
Zhu BF
Tai FD
Source :
Fa yi xue za zhi [Fa Yi Xue Za Zhi] 2019 Oct; Vol. 35 (5), pp. 545-552. Date of Electronic Publication: 2019 Oct 25.
Publication Year :
2019

Abstract

Abstract: Objective To explore the genetic background and structure of Urumqi Mongolians, the previously developed 39-AIM-InDels panel for ancestry inference was utilized in the present study. Methods The blood samples of 145 unrelated healthy Urumqi Mongolian individuals were collected and genotyped. The compositions of ancestry information of Urumqi Mongolians were studied with 17 different populations from three continents (East Asia, Europe and Africa) as reference populations. Then, multiple population genetics and bioinformatics analysis methods were applied, the Fst and DA values between matched populations were compared and analyzed, PCA analysis was performed and a phylogenetic tree was constructed. The proportions of ancestry information components of Urumqi Mongolians were analyzed with Structure software, etc. Results The ancestry information components of Urumqi Mongolian group in different intercontinental populations accounted for 89%, 7%, and 3% of East Asian, European, and African populations, respectively. Compared with other intercontinental populations, Urumqi Mongolian group and East Asian populations have lower Fst and DA values, and they were in the same cluster in PCA analysis as well. In a phylogenetic tree, the Urumqi Mongolian group was in the same branch as East Asian populations. Conclusion Urumqi Mongolian group had relatively close genetic relationships with East Asian populations, and the proportion of its East Asian ancestry was about 89%.<br />Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose.<br /> (Copyright© by the Editorial Department of Journal of Forensic Medicine.)

Details

Language :
English; Chinese
ISSN :
1004-5619
Volume :
35
Issue :
5
Database :
MEDLINE
Journal :
Fa yi xue za zhi
Publication Type :
Academic Journal
Accession number :
31833287
Full Text :
https://doi.org/10.12116/j.issn.1004-5619.2019.05.007