Exploring the forensic effectiveness and population genetic differentiation in Guizhou Miao and Bouyei group by the self-constructed panel of X chromosomal multi-insertion/deletions
Xiaolan Huang,
Changyun Gu,
Qianchong Ran,
Li Chen,
Shunyi Tian,
Min Zhong,
Zheng Ren,
Qiyan Wang,
Meiqing Yang,
Jingyan Ji,
Wen Wan,
Jiang Huang,
Hongling Zhang,
Xiaoye Jin
Affiliations
Xiaolan Huang
Department of Forensic Medicine, Guizhou Medical University
Changyun Gu
Department of Forensic Medicine, Guizhou Medical University
Qianchong Ran
Department of Forensic Medicine, Guizhou Medical University
Li Chen
Department of Forensic Medicine, Guizhou Medical University
Shunyi Tian
Department of Forensic Medicine, Guizhou Medical University
Min Zhong
Department of Forensic Medicine, Guizhou Medical University
Zheng Ren
Department of Forensic Medicine, Guizhou Medical University
Qiyan Wang
Department of Forensic Medicine, Guizhou Medical University
Meiqing Yang
Department of Forensic Medicine, Guizhou Medical University
Jingyan Ji
Department of Forensic Medicine, Guizhou Medical University
Wen Wan
Department of Forensic Medicine, Guizhou Medical University
Jiang Huang
School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University
Hongling Zhang
Department of Forensic Medicine, Guizhou Medical University
Xiaoye Jin
Department of Forensic Medicine, Guizhou Medical University
Abstract In this research, a self-developed panel comprising 22 X chromosomal multi-InDels and one X-STR was used to explore the genetic polymorphisms and forensic characteristics of these loci in Guizhou Miao and Guizhou Bouyei populations. Besides, genetic affiliations among Guizhou Miao, Guizhou Bouyei and Guizhou Han populations were investigated using principal component analysis, STRUCTURE and machine learning methods. The findings indicated that these loci in the male and female samples had comprehensive discrimination powers greater than 0.999999999. Meanwhile, the cumulative mean exclusion chance of these 23 loci for trio and duo cases were also greater than 0.9999 in Guizhou Miao and Guizhou Bouyei populations. Population genetic analyses of three Guizhou populations revealed that there were relatively low genetic divergences among these populations based on the self-constructed panel. In conclusion, this system could be utilized as the valuable tool for forensic personal identification and parentage testing in Guizhou Miao and Guizhou Bouyei populations.
