1
|
Huang X, Gu C, Ran Q, Chen L, Tian S, Zhong M, Ren Z, Wang Q, Yang M, Ji J, Wan W, Huang J, Zhang H, Jin X. 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. BMC Genomics 2024; 25:1185. [PMID: 39648202 PMCID: PMC11626752 DOI: 10.1186/s12864-024-11088-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Accepted: 11/25/2024] [Indexed: 12/10/2024] Open
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.
Collapse
Affiliation(s)
- Xiaolan Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Changyun Gu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Qianchong Ran
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Li Chen
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Shunyi Tian
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Min Zhong
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Jingyan Ji
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Wen Wan
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Jiang Huang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou, 550025, China.
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, 550025, China.
| | - Xiaoye Jin
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, 550025, China.
| |
Collapse
|
2
|
Duan S, Wang M, Wang Z, Liu Y, Jiang X, Su H, Cai Y, Sun Q, Sun Y, Li X, Chen J, Zhang Y, Yan J, Nie S, Hu L, Tang R, Yun L, Wang CC, Liu C, Yang J, He G. Malaria resistance-related biological adaptation and complex evolutionary footprints inferred from one integrative Tai-Kadai-related genomic resource. Heliyon 2024; 10:e29235. [PMID: 38665582 PMCID: PMC11043949 DOI: 10.1016/j.heliyon.2024.e29235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 04/01/2024] [Accepted: 04/03/2024] [Indexed: 04/28/2024] Open
Abstract
Pathogen‒host adaptative interactions and complex population demographical processes, including admixture, drift, and Darwen selection, have considerably shaped the Neolithic-to-Modern Western Eurasian population structure and genetic susceptibility to modern human diseases. However, the genetic footprints of evolutionary events in East Asia remain unknown due to the underrepresentation of genomic diversity and the design of large-scale population studies. We reported one aggregated database of genome-wide SNP variations from 796 Tai-Kadai (TK) genomes, including that of Bouyei first reported here, to explore the genetic history, population structure, and biological adaptative features of TK people from southern China and Southeast Asia. We found geography-related population substructure among TK people using the state-of-the-art population genetic structure reconstruction techniques based on the allele frequency spectrum and haplotype-resolved phased fragments. We found that the northern TK people from Guizhou harbored one TK-dominant ancestry maximized in the Bouyei people, and the southern TK people from Thailand were more influenced by Southeast Asians and indigenous people. We reconstructed fitted admixture models and demographic graphs, which showed that TK people received gene flow from ancient southern rice farmer-related lineages related to the Hmong-Mien and Austroasiatic people and from northern millet farmers associated with the Sino-Tibetan people. Biological adaptation focused on our identified unique TK lineages related to Bouyei, which showed many adaptive signatures conferring Malaria resistance and low-rate lipid metabolism. Further gene enrichment, the allele frequency distribution of derived alleles, and their correlation with the incidence of Malaria further confirmed that CR1 played an essential role in the resistance of Malaria in the ancient "Baiyue" tribes.
Collapse
Affiliation(s)
- Shuhan Duan
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Yan Liu
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Xiucheng Jiang
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Haoran Su
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Yan Cai
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
| | - Qiuxia Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Yuntao Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Xiangping Li
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Jing Chen
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Yijiu Zhang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Libing Yun
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, 361005, Fujian, China
| | - Chao Liu
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China
| | - Junbao Yang
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
| | - Guanglin He
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China
| |
Collapse
|
3
|
Yao H, Wang K, Lu S, Cao F, Dai P. Development of an ARMS multiplex real-time PCR assay for the detection of HLA-B*13:01 genotype by detecting highly specific SNPs. Pharmacogenet Genomics 2024; 34:53-59. [PMID: 38050734 DOI: 10.1097/fpc.0000000000000517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/06/2023]
Abstract
OBJECTIVES HLA-B*13:01 was strongly associated with Dapsone Hypersensitivity Syndrome (DHS). This study aimed to develop and validate a rapid and economical method for HLA-B*13:01 genotyping. METHODS Two tubes multiplex real-time PCR detection system comprising amplification refractory mutation system primers and TaqMan probes was established for HLA-B*13:01 genotyping. Sequence-based typing was applied to validate the accuracy of the assay. RESULTS The accuracy of the assay was 100% for HLA-B*13:01 genotyping. The detection limit of the new method was 0.025 ng DNA. The positive rate of HLA-B*13:01 in the Bouyei (20%, n = 50) populations was significantly higher than that in the Uighur population (4%, n = 100), Han (4.5%, n = 200), and Tibetan (1%, n = 100) ( P < 0.05). CONCLUSION The proposed method is rapid and reliable for HLA-B*13:01 screening in a clinical setting.
Collapse
Affiliation(s)
- Hao Yao
- National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University of Xi'an
| | - Kaixuan Wang
- National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University of Xi'an
| | - Sihai Lu
- National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University of Xi'an
| | - Fang Cao
- Department of Clinical Pharmacy, Shaanxi Provincial Cancer Hospital, Shaanxi Province, China
| | - Penggao Dai
- National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University of Xi'an
| |
Collapse
|
4
|
Wang F, Li W, Wang X, Luo X, Dai P. A single-tube multiplex real-time PCR for HLA-B*38:02 genotype by detecting highly specific SNPs. Pharmacogenomics 2023; 24:5-14. [PMID: 36661044 DOI: 10.2217/pgs-2022-0132] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Purpose: HLA-B*38:02 is closely related to carbimazole/methimazole-induced agranulocytosis. This study aimed to develop and validate a rapid and economical method for HLA-B*38:02 genotyping. Methods: A single-tube multiplex real-time PCR detection system comprising amplification refractory mutation system primers and TaqMan probes was established for HLA-B*38:02 genotyping. Sequence-based typing was applied to validate the accuracy of the assay. Results: The accuracy of the assay was 100% for HLA-B*38:02 genotyping. The detection limit of the new method was 0.05 ng DNA. The positive rate of HLA-B*38:02 in the Han (8%, n = 100), Bouyei (17.8%, n = 90) and Tibetan (12.7%, n = 110) populations was significantly higher than that in the Uighur population (1%, n = 100) (p < 0.05). Conclusion: The proposed method is rapid and reliable for HLA-B*38:02 screening in a clinical setting.
Collapse
Affiliation(s)
- Fei Wang
- National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University of Xi'an, Shaanxi Province, 710069, China
| | - Wenqi Li
- National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University of Xi'an, Shaanxi Province, 710069, China
| | - Xuan Wang
- National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University of Xi'an, Shaanxi Province, 710069, China
| | - Xiang Luo
- Department of Respiratory, Tongchuan People's Hospital Tongchuan, Shaanxi Province, People's Republic of China
| | - Penggao Dai
- National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University of Xi'an, Shaanxi Province, 710069, China.,Shaanxi Lifegen Co.,Ltd, Building 1, Collaborative Innovation Port, Fengdong New City, Xixian New Area, Xi'an, Shaanxi Province, 712000, China
| |
Collapse
|
5
|
Ren Z, Yang M, Jin X, Wang Q, Liu Y, Zhang H, Ji J, Wang CC, Huang J. Genetic substructure of Guizhou Tai-Kadai-speaking people inferred from genome-wide single nucleotide polymorphisms data. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.995783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The genome-wide characteristics and admixture history of the Tai-Kadai-speaking populations are essential for understanding the population genetic diversity in southern China. We genotyped about 700,000 single nucleotide polymorphisms (SNPs) of 239 individuals from six Tai-Kadai-speaking populations residing in the mountainous Guizhou Province of southwestern China. We merged the genome-wide data with available populations and ancients in East and Southeast Asia to infer Tai-Kadai-speaking populations’ admixture history and genetic structure. We observed a genetic substructure within the studied six populations in the PCA, ADMIXTURE, ChromoPainter, GLOBETROTTER, f-statistics, and qpWave analysis. The Dong, Zhuang, and Bouyei people had a strong genetic affinity with other Tai-Kadai-speaking and Austronesian groups in the surrounding area. However, Gelao showed an affinity to Sino-Tibetan groups, and Mulao people were genetically close to Hmong-Mien populations. qpAdm further illuminated that Gelao and Dong_Tongren composited more Han-related ancestry than Dong, Zhuang, Bouyei, and Mulao people. Meanwhile, we observed high frequencies of Y-chromosome haplogroup O in studied Tai-Kadai-speaking groups except for Gelao people with a high haplogroup N frequency. From the maternal side, haplogroup M7 was frequent in studied populations except for Tongren Dong, who had a high frequency of haplogroup B5. Our newly reported data are helpful for further exploring population dynamics in southern China.
Collapse
|
6
|
Yang M, He G, Ren Z, Wang Q, Liu Y, Zhang H, Zhang H, Chen J, Ji J, Zhao J, Guo J, Zhu K, Yang X, Wang R, Ma H, Wang CC, Huang J. Genomic Insights Into the Unique Demographic History and Genetic Structure of Five Hmong-Mien-Speaking Miao and Yao Populations in Southwest China. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.849195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Southern China was the original center of multiple ancestral populations related to modern Hmong-Mien, Tai-Kadai, Austroasiatic, and Austronesian people. More recent genetic surveys have focused on the fine-scale genetic structure and admixture history of southern Chinese populations, but the genetic formation and diversification of Hmong-Mien speakers are far from clear due to the sparse genetic sampling. Here, we reported nearly 700,000 single-nucleotide polymorphisms (SNPs) data from 130 Guizhou Miao and Yao individuals. We used principal component analysis, ADMIXTURE, f-statistics, qpAdm, phylogenetic tree, fineSTRUCTURE, and ALDER to explore the fine-scale population genetic structure and admixture pattern of Hmong-Mien people. The sharing allele patterns showed that our studied populations had a strong genetic affinity with ancient and modern groups from southern and southeastern East Asia. We identified one unique ancestry component maximized in Yao people, which widely existed in other Hmong-Mien-speaking populations in southern China and Southeast Asia and ancient samples of Guangxi. Guizhou Hmong-Mien speakers harbored the dominant proportions of ancestry related to southern indigenous East Asians and minor proportions of northern ancestry related to Yellow River farmers, suggesting the possibility of genetic admixture between Hmong-Mien people and recent southward Sino-Tibetan-related populations. Furthermore, we found a genetic substructure among geographically different Miao and Yao people in Leishan and Songtao. The Yao and Miao people in Leishan harbored more southern East Asian ancestry, but Miao in Songtao received more northern East Asian genetic influence. We observed high mtDNA but low Y-chromosome diversity in studied Hmong-Mien groups, supporting the role of sex-specific residence in influencing human genetic variation. Our data provide valuable clues for further exploring population dynamics in southern China.
Collapse
|
7
|
Forensic characteristic of 19 X-STRs in Chuanqing, Tujia and Yi groups from Guizhou province and their genetic relationships with other reference populations. GENE REPORTS 2022. [DOI: 10.1016/j.genrep.2022.101553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|
8
|
Yang M, Jin X, Ren Z, Wang Q, Zhang H, Zhang H, Chen J, Ji J, Liu Y, Huang J. X-chromosomal STRs for genetic composition analysis of Guizhou Dong group and its phylogenetic relationships with other reference populations. Ann Hum Biol 2021; 48:621-626. [PMID: 34789047 DOI: 10.1080/03014460.2021.2008001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND X-chromosomes show a specific genetic mode, which makes genetic markers on the X chromosome play crucial roles in forensic research and human evolution. Dong group, one of 55 minority groups in China, live in Guizhou, Guangxi and Hunan provinces. Even though some genetic data of Y chromosomal short tandem repeats (STRs) and autosomal insertion/deletion polymorphism (InDels) in Dong groups have been reported, there is little research about X-STRs in the Dong group. AIM Purposes of this study are to investigate allelic distributions and forensic statistical parameters of 19 X-STRs in the Guizhou Dong group, and explore the genetic composition of the Guizhou Dong group and its phylogenetic relationships with other reference populations. SUBJECTS AND METHODS 507 Dongs (272 males and 235 females) living in Guizhou province were typed using the AGCU X19 STR kit. Allelic frequencies and forensic parameters of 19 X-STRs in the Guizhou Dong group were calculated. Population genetic analyses of Guizhou Dong and other 17 reference populations were conducted using DA genetic distances, phylogenetic tree, principal component analysis and multidimensional scaling. RESULTS A total of 230 alleles of 19 X-STRs were identified in all Dongs. The frequencies of 19 loci ranged from 0.0013 to 0.6838. Cumulative power of discrimination in males (PDM), Cumulative power of discrimination in females (PDF), four different kinds of mean exclusion chance (MEC_Kruger, MEC_Kishida, MEC_Desmarais and MEC_Desmarais_du) values of 19 X-STRs in all individuals were 0.999999999999761, 0.9999999999999999999993951, 0.999999964841617, 0.999999999997261, 0.999999999997297 and 0.999999993623172, respectively. Besides, genetic polymorphisms of seven linkage clusters ranged from 0.9381 to 0.9963. In addition, these seven groups showed high polymorphism information content (PIC), PDM, PDF, MEC_Kruger, MEC_Kishida, MEC_Desmarais and MEC_Desmarais_duo values. Population genetic analyses of Guizhou Dong and other 17 reference populations showed that the Guizhou Dong group had close genetic relationships with surrounding Tai-Kadai-speaking, Hmong-Mien-speaking and Han groups. CONCLUSION Nineteen X-STRs displayed high genetic diversities and could be employed for forensic personal identification and paternity analysis in the Guizhou Dong group. Close genetic affinities between Guizhou Dong and surrounding populations were observed based on the 19 X-STRs in 17 reference populations.
Collapse
Affiliation(s)
- Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Xiaoye Jin
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Han Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jing Chen
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jingyan Ji
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| |
Collapse
|
9
|
Liu L, Yuan J, Miao L, Huang R, Zhang X, Nie S, Hu L. Genetic polymorphisms of 16 X-STR loci analyzed in the Han population of Yunnan Province, Southwest China. Leg Med (Tokyo) 2021; 54:101974. [PMID: 34736140 DOI: 10.1016/j.legalmed.2021.101974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/27/2021] [Accepted: 10/01/2021] [Indexed: 10/20/2022]
Abstract
To investigate the genetic diversity and forensic identification efficiency of X-chromosomal short tandem repeats (X-STRs) in the Yunnan Han population, 16 X-STRs in 415 Yunnan Han individuals (247 males and 168 females) were studied. A total of 137 alleles were detected, and all loci in the Yunnan Han population were highly polymorphic. The combined discrimination of males (PDm) and females (PDf) was 0.9999997769115 and 0.999999999999999999996, respectively. Interpopulation comparisons between the Yunnan Han population and 21 other populations showed that the evolutionary relationships between different groups with the same ethnic group or nearby geographic origins were closer. This study provides the first data on X-STR genetic polymorphisms in the Yunnan Han population and enriches the X-STR database for the Chinese Han population.
Collapse
Affiliation(s)
- Linlin Liu
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Jiahui Yuan
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Lei Miao
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Renwu Huang
- Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Xiufeng Zhang
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China.
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China.
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China.
| |
Collapse
|
10
|
Zhang X, Yuan X, Huang Y, Yao J, Zhang J, Dai J, Liu L, Nie S, Hu L. Forensic genetic polymorphisms of 16 X-STR loci in the Yunnan Miao population and their relationship to other Chinese groups. Leg Med (Tokyo) 2021; 53:101961. [PMID: 34479066 DOI: 10.1016/j.legalmed.2021.101961] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 08/13/2021] [Accepted: 08/21/2021] [Indexed: 11/18/2022]
Abstract
Allele frequencies for 16 X-chromosomal STR (X-STR) loci were obtained from a sample set of 440 unrelated Yunnan Miao individuals in China. A total of 117 alleles were observed in this group, with allele frequencies ranging from 0.0016 to 0.7565. The most informative marker for the studied population was DXS10134, with a polymorphism information content (PIC) of 0.8499, and the least polymorphic locus was DXS6810 (PIC = 0.3071). The power of discrimination (PD) varied from 0.4046 (DXS6800) to 0.8642 (DXS10134) in males and from 0.6188 (DXS6800) to 0.9673 (DXS10134) in females. The combined PDM and PDF were 0.999999989975990 and 0.999999999999949, respectively. The combined MECD and MECT were 0.999983301904059 and 0.999999915883733, respectively. Furthermore, population genetic structure investigation between the Yunnan Miao and 20 other populations using principal component analysis (PCA), multidimensional scaling plot (MDS), and neighboring-joining (NJ) phylogenetic tree analyses illustrated significant genetic difference between the Yunnan Miao and the other populations. This study is the first to provide X chromosome genetic polymorphism data of the Miao population in Yunnan Province and can be used as a supplementary reference to enrich the national database.
Collapse
Affiliation(s)
- Xiufeng Zhang
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Xiaokun Yuan
- Honghe Public Security Bureau, Honghe, Yunnan Province, People's Republic of China
| | - Yangzhi Huang
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Jinyong Yao
- Honghe Public Security Bureau, Honghe, Yunnan Province, People's Republic of China
| | - Jian Zhang
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Jiameng Dai
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Linlin Liu
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China.
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China.
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China.
| |
Collapse
|
11
|
Liu L, Yao J, Huang Y, Gao L, Dai J, Yuan X, Zhang X, Nie S, Hu L. Genetic polymorphisms of 16 X-STR loci in the Hani population from Southwest China. Forensic Sci Res 2021; 7:196-201. [PMID: 35784423 PMCID: PMC9246014 DOI: 10.1080/20961790.2021.1877389] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Affiliation(s)
- Linlin Liu
- School of Forensic Medicine, Kunming Medical University, Kunming, China
- Judicial Expertise Center, Kunming Medical University, Kunming, China
| | - Jinyong Yao
- Honghe Public Security Bureau, Honghe, China
| | | | - Lei Gao
- Honghe Public Security Bureau, Honghe, China
| | - Jiameng Dai
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | | | - Xiufeng Zhang
- School of Forensic Medicine, Kunming Medical University, Kunming, China
- Judicial Expertise Center, Kunming Medical University, Kunming, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, China
- Judicial Expertise Center, Kunming Medical University, Kunming, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, China
- Judicial Expertise Center, Kunming Medical University, Kunming, China
| |
Collapse
|
12
|
Lu J, Zhang H, Ren Z, Wang Q, Liu Y, Li Y, He G, Guo J, Zhao J, Hu R, Wei LH, Chen G, Huang J, Wang CC. Genome-wide analysis of unrecognised ethnic group Chuanqing people revealing a close affinity with Southern Han Chinese. Ann Hum Biol 2020; 47:465-471. [PMID: 32543893 DOI: 10.1080/03014460.2020.1782470] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
BACKGROUND Chuanqing is an unrecognised ethnic group in Guizhou, southwest China. The genetic history of the Chuanqing people is hotly debated due to a lack of available genetic data. AIM To infer the genetic structure and population history of the Chuanqing people and genetic relationships of the Chuanqing with other East Asians. SUBJECTS AND METHODS We collected samples from 14 Chuanqing individuals from Guizhou and genotyped about 690,000 genome-wide single nucleotide polymorphisms (SNPs). We used Principal Component Analysis (PCA), ADMIXTURE analysis, and f statistics to infer the population genetic structure and admixture. RESULTS Chuanqing people show a distinct genetic profile from indigenous Tai-Kadai and Tibeto-Burman speaking populations in southwest China, but they are genetically similar to southern Han Chinese, Miao, She and Tujia populations. The Han Chinese characteristic Y chromosomal lineages reach high frequencies in the Chuanqing. CONCLUSIONS The genetic formation of the Chuanqing people has been greatly influenced by Han Chinese related populations.
Collapse
Affiliation(s)
- Jiani Lu
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Yingxiang Li
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Guanglin He
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Jianxin Guo
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Jing Zhao
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Rong Hu
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Lan-Hai Wei
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | | | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Chuan-Chao Wang
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| |
Collapse
|