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Zou X, Nie Q, Li W, Chen Y, Song T, Zhang P. Genetic variation and phylogenetic analysis of 23 STR in Chinese Han population from Hainan, Southern China. Medicine (Baltimore) 2024; 103:e38428. [PMID: 39259071 DOI: 10.1097/md.0000000000038428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/12/2024] Open
Abstract
The forensic characteristics and genetic relationships of Hainan Han population are still not fully understood. The aim of this study was to investigate the forensic features and genetic variations of 23 short tandem repeat (STR) included in the HuaxiaTM Platinum system in Hainan Han and analyze the population genetic relationships between Hainan Han and other adjacent Chinese populations. The genetic polymorphisms of 23 STR loci included in the HuaxiaTM Platinum kit were evaluated from 2971 Hainan Han individuals. Comprehensive comparisons were conducted based on genetic distance, phylogenetic tree, multidimensional scaling and principal component analysis (PCA) to explore inter-population genetic relationship. The combined power of discrimination (CPD) and the combined power of exclusion (CPE) of the 23 STR loci was 0.999 999 999 999 999 999 999 999 999 819 and 0.999 999 999 625 408, respectively. The investigated Hainan Han population has high genetic similarity with geographically close Han populations, while great genetic difference with other ethnic minorities, prominently in Yunnan Miao, Xinjiang Uygurs, Xinjiang Kazakh, and Tibetans. Our study found the 23 STR loci were highly polymorphic and suitable for forensic personal identification and paternity testing in Hainan Han population. Genetic similarity widely existed among Han populations from different regions, and significant genetic divergence existed between Han populations and some ethnic minorities. The populations genetic diversity and similarity were closely associated with ethnic origin and geographical distribution.
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Affiliation(s)
- Xing Zou
- Department of Forensic Medicine, Hainan Provincial Academician Workstation (Tropical Forensic Medicine), Hainan Province Tropical Forensic Engineering Research Center, Hainan Medical University, Haikou, China
| | - Qianyun Nie
- Department of Pathology, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou, China
- Department of Pathology, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Wenhui Li
- Department of Forensic Medicine, Hainan Provincial Academician Workstation (Tropical Forensic Medicine), Hainan Province Tropical Forensic Engineering Research Center, Hainan Medical University, Haikou, China
| | - Yinyu Chen
- Department of Forensic Medicine, Hainan Provincial Academician Workstation (Tropical Forensic Medicine), Hainan Province Tropical Forensic Engineering Research Center, Hainan Medical University, Haikou, China
| | - Tao Song
- Department of Forensic Medicine, Hainan Provincial Academician Workstation (Tropical Forensic Medicine), Hainan Province Tropical Forensic Engineering Research Center, Hainan Medical University, Haikou, China
| | - Peng Zhang
- Department of Forensic Medicine, Hainan Provincial Academician Workstation (Tropical Forensic Medicine), Hainan Province Tropical Forensic Engineering Research Center, Hainan Medical University, Haikou, China
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Sun Y, Wang M, Sun Q, Liu Y, Duan S, Wang Z, Zhou Y, Zhong J, Huang Y, Huang X, Yang Q, Li X, Su H, Cai Y, Jiang X, Chen J, Yan J, Nie S, Hu L, Yang J, Tang R, Wang CC, Liu C, Deng X, Yun L, He G. Distinguished biological adaptation architecture aggravated population differentiation of Tibeto-Burman-speaking people. J Genet Genomics 2024; 51:517-530. [PMID: 37827489 DOI: 10.1016/j.jgg.2023.10.002] [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: 08/25/2023] [Revised: 09/28/2023] [Accepted: 10/04/2023] [Indexed: 10/14/2023]
Abstract
Tibeto-Burman (TB) people have endeavored to adapt to the hypoxic, cold, and high-UV high-altitude environments in the Tibetan Plateau and complex disease exposures in lowland rainforests since the late Paleolithic period. However, the full landscape of genetic history and biological adaptation of geographically diverse TB-speaking people, as well as their interaction mechanism, remain unknown. Here, we generate a whole-genome meta-database of 500 individuals from 39 TB-speaking populations and present a comprehensive landscape of genetic diversity, admixture history, and differentiated adaptative features of geographically different TB-speaking people. We identify genetic differentiation related to geography and language among TB-speaking people, consistent with their differentiated admixture process with incoming or indigenous ancestral source populations. A robust genetic connection between the Tibetan-Yi corridor and the ancient Yellow River people supports their Northern China origin hypothesis. We finally report substructure-related differentiated biological adaptative signatures between highland Tibetans and Loloish speakers. Adaptative signatures associated with the physical pigmentation (EDAR and SLC24A5) and metabolism (ALDH9A1) are identified in Loloish people, which differed from the high-altitude adaptative genetic architecture in Tibetan. TB-related genomic resources provide new insights into the genetic basis of biological adaptation and better reference for the anthropologically informed sampling design in biomedical and genomic cohort research.
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Affiliation(s)
- Yuntao Sun
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, China; Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China
| | - Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China; Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510275, China; Guangzhou Forensic Science Institute, Guangzhou, Guangdong 510055, China.
| | - Qiuxia Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
| | - Yan Liu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Clinical Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Shuhan Duan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Yunyu Zhou
- School of Stomatology, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Jun Zhong
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Yuguo Huang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China
| | - Xinyu Huang
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, China
| | - Qingxin Yang
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Xiangping Li
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Haoran Su
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Yan Cai
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China; Department of Medical Laboratory, North Sichuan Medical College, Nanchong, Sichuan 637007, China
| | - Xiucheng Jiang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Jing Chen
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, 030600, China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, 030600, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Junbao Yang
- School of Clinical Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
| | - Chuan-Chao Wang
- School of Life Sciences, Xiamen University, Xiamen, Fujian 361005, China
| | - Chao Liu
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, Guangdong 510230, China
| | - Xiaohui Deng
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, China.
| | - Libing Yun
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China.
| | - Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China.
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Fu D, Adnan A, Yao J, Aldayan NH, Wang CC, Hongyi C. Unraveling the paternal genetic structure and forensic traits of the Hui population in Liaoning Province, China using Y-chromosome analysis. BMC Genomics 2023; 24:691. [PMID: 37978341 PMCID: PMC10655310 DOI: 10.1186/s12864-023-09774-8] [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: 04/01/2023] [Accepted: 10/30/2023] [Indexed: 11/19/2023] Open
Abstract
The Hui people are the second-largest ethnic minority in China, and they are distributed throughout the country. A previous study explored the paternal genetic structure of the Hui population in nine different regions of China, but it overlooked the Liaoning province. In this study, we examined the paternal genetic makeup and forensic traits of the Hui population in Liaoning province by analyzing 157 Y-chromosome single nucleotide polymorphisms (Y-SNPs) and 26 short tandem repeats (Y-STRs). We successfully genotyped 282 unrelated male individuals from the Hui population of Liaoning province using the SNaPshot® single base extension assay and Goldeneye™ Y26 system kit (PEOPLESPOT R&D, Beijing, China). The results revealed high haplotypic diversity (0.9998) and identified 46 terminal haplogroups for the Hui population. Additional analyses, such as heat maps, principal component analysis (PCA), genetic distance (FST), Multidimensional scaling (MDS) analysis, and median-joining network (MJ) analysis, showed that the Hui population could be classified into three groups: Northwest Hui populations (NWH), including Liaoning, Xinjiang, Qinghai, Gansu, Ningxia, Shaanxi, and Henan; Hui populations from Sichuan and Shandong (SSH); and Yunnan Hui populations (YNH). Pairwise genetic distance (Rst) comparisons with other Chinese populations revealed that the Hui population displayed genetic affinity with the Han population. The comprehensive understanding of the Hui population in Liaoning province, explored by Y-SNPs and Y-STRs, can be utilized to interpret their genetic structure and enhance the accuracy of forensic databases.
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Affiliation(s)
- Dazhi Fu
- First Affiliated Hospital of China Medical University, 155 Heping District, Shenyang, 110001, China
| | - Atif Adnan
- Department of Forensic Sciences, Collage of Criminal Justice, Naif Arab University for Security Sciences, Riyadh, Saudi Arabia.
| | - Jun Yao
- Department of Forensic Biology and Genetics, School of Forensic Medicine, China Medical University, Shenyang, 110001, China
| | - Noura H Aldayan
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam Ibn Abdulaziz University, Al-Kharj, 16273, Saudi Arabia
| | - Chuan-Chao Wang
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, Fujian, People's Republic of China.
| | - Cao Hongyi
- First Affiliated Hospital of China Medical University, 155 Heping District, Shenyang, 110001, China.
- Department of Pathology, School of Basic Medical Sciences, China Medical University, Shenyang, 110001, China.
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Wen Y, Liu J, Su Y, Chen X, Hou Y, Liao L, Wang Z. Forensic biogeographical ancestry inference: recent insights and current trends. Genes Genomics 2023; 45:1229-1238. [PMID: 37081293 DOI: 10.1007/s13258-023-01387-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 04/01/2023] [Indexed: 04/22/2023]
Abstract
BACKGROUND As a powerful complement to the paradigmatic DNA profiling strategy, biogeographical ancestry inference (BGAI) plays a significant part in human forensic investigation especially when a database hit or eyewitness testimony are not available. It indicates one's biogeographical profile based on known population-specific genetic variations, and thus is crucial for guiding authority investigations to find unknown individuals. Forensic biogeographical ancestry testing exploits much of the recent advances in the understanding of human genomic variation and improving of molecular biology. OBJECTIVE In this review, recent development of prospective ancestry informative markers (AIMs) and the statistical approaches of inferring biogeographic ancestry from AIMs are elucidated and discussed. METHODS We highlight the research progress of three potential AIMs (i.e., single nucleotide polymorphisms, microhaplotypes, and Y or mtDNA uniparental markers) and discuss the prospects and challenges of two methods that are commonly used in BGAI. CONCLUSION While BGAI for forensic purposes has been thriving in recent years, important challenges, such as ethics and responsibilities, data completeness, and ununified standards for evaluation, remain for the use of biogeographical ancestry information in human forensic investigations. To address these issues and fully realize the value of BGAI in forensic investigation, efforts should be made not only by labs/institutions around the world independently, but also by inter-lab/institution collaborations.
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Affiliation(s)
- Yufeng Wen
- Key Laboratory of Evidence Science (China University of Political Science and Law), Ministry of Education, Beijing, 100088, China
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
- School of Life Sciences, Jilin University, Changchun, 130012, China
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Yonglin Su
- Department of Rehabilitation Medicine, West China Hospital Sichuan University, Chengdu, 610041, China
| | - Xiacan Chen
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Yiping Hou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Linchuan Liao
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China.
| | - Zheng Wang
- Key Laboratory of Evidence Science (China University of Political Science and Law), Ministry of Education, Beijing, 100088, China.
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China.
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He G, Wang M, Miao L, Chen J, Zhao J, Sun Q, Duan S, Wang Z, Xu X, Sun Y, Liu Y, Liu J, Wang Z, Wei L, Liu C, Ye J, Wang L. Multiple founding paternal lineages inferred from the newly-developed 639-plex Y-SNP panel suggested the complex admixture and migration history of Chinese people. Hum Genomics 2023; 17:29. [PMID: 36973821 PMCID: PMC10045532 DOI: 10.1186/s40246-023-00476-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 03/15/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND Non-recombining regions of the Y-chromosome recorded the evolutionary traces of male human populations and are inherited haplotype-dependently and male-specifically. Recent whole Y-chromosome sequencing studies have identified previously unrecognized population divergence, expansion and admixture processes, which promotes a better understanding and application of the observed patterns of Y-chromosome genetic diversity. RESULTS Here, we developed one highest-resolution Y-chromosome single nucleotide polymorphism (Y-SNP) panel targeted for uniparental genealogy reconstruction and paternal biogeographical ancestry inference, which included 639 phylogenetically informative SNPs. We genotyped these loci in 1033 Chinese male individuals from 33 ethnolinguistically diverse populations and identified 256 terminal Y-chromosomal lineages with frequency ranging from 0.0010 (singleton) to 0.0687. We identified six dominant common founding lineages associated with different ethnolinguistic backgrounds, which included O2a2b1a1a1a1a1a1a1-M6539, O2a1b1a1a1a1a1a1-F17, O2a2b1a1a1a1a1b1a1b-MF15397, O2a2b2a1b1-A16609, O1b1a1a1a1b2a1a1-F2517, and O2a2b1a1a1a1a1a1-F155. The AMOVA and nucleotide diversity estimates revealed considerable differences and high genetic diversity among ethnolinguistically different populations. We constructed one representative phylogenetic tree among 33 studied populations based on the haplogroup frequency spectrum and sequence variations. Clustering patterns in principal component analysis and multidimensional scaling results showed a genetic differentiation between Tai-Kadai-speaking Li, Mongolic-speaking Mongolian, and other Sinitic-speaking Han Chinese populations. Phylogenetic topology inferred from the BEAST and Network relationships reconstructed from the popART further showed the founding lineages from culturally/linguistically diverse populations, such as C2a/C2b was dominant in Mongolian people and O1a/O1b was dominant in island Li people. We also identified many lineages shared by more than two ethnolinguistically different populations with a high proportion, suggesting their extensive admixture and migration history. CONCLUSIONS Our findings indicated that our developed high-resolution Y-SNP panel included major dominant Y-lineages of Chinese populations from different ethnic groups and geographical regions, which can be used as the primary and powerful tool for forensic practice. We should emphasize the necessity and importance of whole sequencing of more ethnolinguistically different populations, which can help identify more unrecognized population-specific variations for the promotion of Y-chromosome-based forensic applications.
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Affiliation(s)
- Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China.
| | - Mengge Wang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Lei Miao
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China
| | - Jing Chen
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Jie Zhao
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China
| | - Qiuxia Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Shuhan Duan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Xiaofei Xu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
| | - Yuntao Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Yan Liu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Lanhai Wei
- School of Ethnology and Anthropology, Inner Mongolia Normal University, Hohhot, 010028, Inner Mongolia, China
| | - Chao Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Jian Ye
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China.
| | - Le Wang
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China.
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Felkl AB, Avila E, Gastaldo AZ, Lindholz CG, Dorn M, Alho CS. Ancestry resolution of South Brazilians by forensic 165 ancestry-informative SNPs panel. Forensic Sci Int Genet 2023; 64:102838. [PMID: 36736201 DOI: 10.1016/j.fsigen.2023.102838] [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: 08/24/2022] [Revised: 01/15/2023] [Accepted: 01/22/2023] [Indexed: 01/24/2023]
Abstract
Forensic DNA phenotyping (FDP) includes biogeographic ancestry (BGA) inference and externally visible characteristics (EVCs) prediction directly from an evidential DNA sample as alternatives to provide valuable intelligence when conventional DNA profiling fails to achieve identification. In this context, the application of Massively Parallel Sequencing (MPS) methodologies, which enables simultaneous typing of multiple samples and hundreds of forensic markers, has been gradually implemented in forensic genetic casework. The Precision ID Ancestry Panel (Thermo Fisher Scientific, Waltham, USA) is a forensic multiplex assay consisting of 165 autosomal SNPs designed to provide biogeographic ancestry information. In this work, a sample of 250 individuals from Rio Grande do Sul (RS) State, southern Brazil, apportioned into four main population groups (African-, European-, Amerindian-, and Admixed-derived Gauchos), was evaluated with this panel, to assess the feasibility of this approach in a highly heterogeneous population. Forensic descriptive parameters estimated for each population group revealed that this panel has enough polymorphic and informative SNPs to be used as a supplementary instrument in forensic individual identification and kinship testing regardless of ethnicity. No statistically significant deviation from Hardy-Weinberg equilibrium was observed after Bonferroni correction. However, seven loci pairs displayed linkage disequilibrium in pairwise LD testing (p < 3.70 × 10-6). Interpopulation comparisons by FST analysis, MDS plot, and STRUCTURE analysis among the four RS population groups apart and along with 89 reference worldwide populations demonstrated that Admixed- and African-derived Gauchos present the highest levels of admixture and population stratification, whereas European- and Amerindian-derived exhibit a more homogeneous genetic conformation.
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Affiliation(s)
- Aline Brugnera Felkl
- Forensic Genetics Laboratory, School of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil; National Institute of Science and Technology - Forensic Science, Porto Alegre, RS, Brazil.
| | - Eduardo Avila
- Forensic Genetics Laboratory, School of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil; Technical Scientific Section, Federal Police Department in Rio Grande do Sul State, Porto Alegre, RS, Brazil; National Institute of Science and Technology - Forensic Science, Porto Alegre, RS, Brazil
| | - André Zoratto Gastaldo
- Forensic Genetics Laboratory, School of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil; National Institute of Science and Technology - Forensic Science, Porto Alegre, RS, Brazil
| | - Catieli Gobetti Lindholz
- Forensic Genetics Laboratory, School of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Márcio Dorn
- Forensic Genetics Laboratory, School of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil; National Institute of Science and Technology - Forensic Science, Porto Alegre, RS, Brazil; Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Clarice Sampaio Alho
- Forensic Genetics Laboratory, School of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil; National Institute of Science and Technology - Forensic Science, Porto Alegre, RS, Brazil
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Guanglin H, Lan-Hai W, Mengge W. Editorial: Forensic investigative genetic genealogy and fine-scale structure of human populations. Front Genet 2023; 13:1067865. [PMID: 36685813 PMCID: PMC9849385 DOI: 10.3389/fgene.2022.1067865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 12/22/2022] [Indexed: 01/06/2023] Open
Affiliation(s)
- He Guanglin
- 1Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, China,*Correspondence: He Guanglin, ; Wang Mengge,
| | - Wei Lan-Hai
- 2School of Ethnology and Anthropology, Inner Mongolia Normal University, Hohhot, China
| | - Wang Mengge
- 3Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China,*Correspondence: He Guanglin, ; Wang Mengge,
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Zou X, He G, Liu J, Jiang L, Wang M, Chen P, Hou Y, Wang Z. Screening and selection of 21 novel microhaplotype markers for ancestry inference in ten Chinese subpopulations. Forensic Sci Int Genet 2022; 58:102687. [DOI: 10.1016/j.fsigen.2022.102687] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 02/20/2022] [Accepted: 03/11/2022] [Indexed: 11/04/2022]
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Adnan A, Anwar A, Simayijiang H, Farrukh N, Hadi S, Wang CC, Xuan JF. The Heart of Silk Road "Xinjiang," Its Genetic Portray, and Forensic Parameters Inferred From Autosomal STRs. Front Genet 2021; 12:760760. [PMID: 34976009 PMCID: PMC8719170 DOI: 10.3389/fgene.2021.760760] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 10/27/2021] [Indexed: 11/13/2022] Open
Abstract
The Xinjiang Uyghur Autonomous Region of China (XUARC) harbors almost 50 ethnic groups including the Uyghur (UGR: 45.84%), Han (HAN: 40.48%), Kazakh (KZK: 6.50%), Hui (HUI: 4.51%), Kyrgyz (KGZ: 0.86%), Mongol (MGL: 0.81%), Manchu (MCH: 0.11%), and Uzbek (UZK: 0.066%), which make it one of the most colorful regions with abundant cultural and genetic diversities. In our previous study, we established allelic frequency databases for 14 autosomal short tandem repeats (STRs) for four minority populations from XUARC (MCH, KGZ, MGL, and UZK) using the AmpFlSTR® Identifiler PCR Amplification Kit. In this study, we genotyped 2,121 samples using the GoldenEye™ 20A Kit (Beijing PeopleSpot Inc., Beijing, China) amplifying 19 autosomal STR loci for four major ethnic groups (UGR, HAN, KZK, and HUI). These groups make up 97.33% of the total XUARC population. The total number of alleles for all the 19 STRs in these populations ranged from 232 (HAN) to 224 (KZK). We did not observe any departures from the Hardy-Weinberg equilibrium (HWE) in these populations after sequential Bonferroni correction. We did find minimal departure from linkage equilibrium (LE) for a small number of pairwise combinations of loci. The match probabilities for the different populations ranged from 1 in 1.66 × 1023 (HAN) to 6.05 × 1024 (HUI), the combined power of exclusion ranged from 0.999 999 988 (HUI) to 0.999 999 993 (UGR), and the combined power of discrimination ranged from 0.999 999 999 999 999 999 999 983 (HAN) to 0.999 999 999 999 999 999 999 997 (UGR). Genetic distances, principal component analysis (PCA), STRUCTURE analysis, and the phylogenetic tree showed that genetic affinity among studied populations is consistent with linguistic, ethnic, and geographical classifications.
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Affiliation(s)
- Atif Adnan
- Department of Forensic Genetics, School of Forensic Medicine, China Medical University, Shenyang, China
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh, Kingdom of Saudi Arabia
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, Xiamen University, Xiamen, China
| | - Adeel Anwar
- Department of Orthopedic Surgery, The 3rd Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Halimureti Simayijiang
- Department of Forensic Medicine, School of Basic Medical Sciences, Binzhou Medical University, Yantai, China
| | - Noor Farrukh
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh, Kingdom of Saudi Arabia
| | - Sibte Hadi
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh, Kingdom of Saudi Arabia
| | - Chuan-Chao Wang
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, Xiamen University, Xiamen, China
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Jin-Feng Xuan
- Department of Forensic Genetics, School of Forensic Medicine, China Medical University, Shenyang, China
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10
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Chen C, Jin X, Zhang X, Zhang W, Guo Y, Tao R, Chen A, Xu Q, Li M, Yang Y, Zhu B. Comprehensive Insights Into Forensic Features and Genetic Background of Chinese Northwest Hui Group Using Six Distinct Categories of 231 Molecular Markers. Front Genet 2021; 12:705753. [PMID: 34721519 PMCID: PMC8555763 DOI: 10.3389/fgene.2021.705753] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 09/07/2021] [Indexed: 11/13/2022] Open
Abstract
The Hui minority is predominantly composed of Chinese-speaking Islamic adherents distributed throughout China, of which the individuals are mainly concentrated in Northwest China. In the present study, we employed the length and sequence polymorphisms-based typing system of 231 molecular markers, i.e., amelogenin, 22 phenotypic-informative single nucleotide polymorphisms (PISNPs), 94 identity-informative single nucleotide polymorphisms (IISNPs), 24 Y-chromosomal short tandem repeats (Y-STRs), 56 ancestry-informative single nucleotide polymorphisms (AISNPs), 7 X-chromosomal short tandem repeats (X-STRs), and 27 autosomal short tandem repeats (A-STRs), into 90 unrelated male individuals from the Chinese Northwest Hui group to comprehensively explore its forensic characteristics and genetic background. Total of 451 length-based and 652 sequence-based distinct alleles were identified from 58 short tandem repeats (STRs) in 90 unrelated Northwest Hui individuals, denoting that the sequence-based genetic markers could pronouncedly provide more genetic information than length-based markers. The forensic characteristics and efficiencies of STRs and IISNPs were estimated, both of which externalized high polymorphisms in the Northwest Hui group and could be further utilized in forensic investigations. No significant departure from the Hardy-Weinberg equilibrium (HWE) expectation was observed after the Bonferroni correction. Additionally, four group sets of reference population data were exploited to dissect the genetic background of the Northwest Hui group separately from different perspectives, which contained 26 populations for 93 IISNPs, 58 populations for 17 Y-STRs, 26 populations for 55 AISNPs (raw data), and 109 populations for 55 AISNPs (allele frequencies). As a result, the analyses based on the Y-STRs indicated that the Northwest Hui group primarily exhibited intimate genetic relationships with reference Hui groups from Chinese different regions except for the Sichuan Hui group and secondarily displayed close genetic relationships with populations from Central and West Asia, as well as several Chinese groups. However, the AISNP analyses demonstrated that the Northwest Hui group shared more intimate relationships with current East Asian populations apart from reference Hui group, harboring the large proportion of ancestral component contributed by East Asia.
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Affiliation(s)
- Chong Chen
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Xiaoye Jin
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
| | - Xingru Zhang
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Wenqing Zhang
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
| | - Yuxin Guo
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
| | - Ruiyang Tao
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, Shanghai, China
| | - Anqi Chen
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, Shanghai, China
- Department of Forensic Medicine, Shanghai Medical College of Fudan University, Shanghai, China
| | - Qiannan Xu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, Shanghai, China
- Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Min Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, Shanghai, China
- Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Yue Yang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, Shanghai, China
- School of Basic Medicine, Inner Mongolia Medical University, Hohhot, China
| | - Bofeng Zhu
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
- Department of Forensic Genetics, Multi-Omics Innovative Research Center of Forensic Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
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11
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Wang H, Barket B, Du S, Friesen D, Kohrman E, Tok E, Xiao B, Huang W, Chan VF, MacKenzie G, Congdon N. The prevalence and correlates of vision impairment and glasses ownership among ethnic minority and Han schoolchildren in rural China. PLoS One 2021; 16:e0256565. [PMID: 34460851 PMCID: PMC8405009 DOI: 10.1371/journal.pone.0256565] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 08/09/2021] [Indexed: 11/19/2022] Open
Abstract
PURPOSE To determine the prevalence of visual impairment and glasses ownership among Han Chinese and Hui minority junior high school children in Ningxia Hui Autonomous Region, China. DESIGN Population-based cross-sectional study. METHODS Vision screening was conducted on 20,376 children (age 12-15 years) in all 124 rural junior high schools in Ningxia. Personal and family characteristics, glasses ownership, and academic performance were assessed through a survey questionnaire and standardized mathematics test, respectively. RESULTS The prevalence of visual acuity (VA) ≤6/12 in either eye was significantly higher among Han (54.5%) than Hui (45.2%) children (P<0.001), and was significantly positively associated with age, female sex, Han ethnicity, parental outmigration for work, shorter time spent outside during recess, shorter time spent watching television and higher time spent studying. Among children with VA≤6/12 in both eyes, only 56.8% of Han and 41.5% of Hui children had glasses (P<0.001). Glasses ownership was significantly associated with worse vision, greater family wealth, female sex, higher test scores, age, parental outmigration for work, understanding of myopia and glasses, higher time spent studying and Han ethnicity. CONCLUSION One of the first of its kind, this report on Han and Hui ethnic schoolchildren confirms a high prevalence of visual impairment among both populations, but slightly higher among the Han. Both groups, especially the Hui, have low rates of glasses ownership. Future interventions and policies designed to improve glasses usage should focus on populations with lower incomes and seek to correct erroneous beliefs about the safety of glasses and efficacy of traditional eye exercises.
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Affiliation(s)
- Huan Wang
- Stanford Center on China’s Economy and Institutions, Stanford University, California, Stanford, United States of America
| | - Brandon Barket
- Stanford Center on China’s Economy and Institutions, Stanford University, California, Stanford, United States of America
| | - Sharon Du
- Stanford Center on China’s Economy and Institutions, Stanford University, California, Stanford, United States of America
| | - Dimitris Friesen
- Stanford Center on China’s Economy and Institutions, Stanford University, California, Stanford, United States of America
| | - Ezra Kohrman
- Stanford Center on China’s Economy and Institutions, Stanford University, California, Stanford, United States of America
| | - Esther Tok
- Stanford Center on China’s Economy and Institutions, Stanford University, California, Stanford, United States of America
| | - Baixiang Xiao
- Affiliated Eye Hospital of Nanchang University, Nanchang, China
- State Key Laboratory of Ophthalmology and Division of Preventive Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Wenyong Huang
- Affiliated Eye Hospital of Nanchang University, Nanchang, China
- State Key Laboratory of Ophthalmology and Division of Preventive Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Ving Fai Chan
- School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast, Northern Ireland, United Kingdom
| | | | - Nathan Congdon
- State Key Laboratory of Ophthalmology and Division of Preventive Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast, Northern Ireland, United Kingdom
- Orbis International, New York, NY, United States of America
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12
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Genetic insights into the paternal admixture history of Chinese Mongolians via high-resolution customized Y-SNP SNaPshot panels. Forensic Sci Int Genet 2021; 54:102565. [PMID: 34332322 DOI: 10.1016/j.fsigen.2021.102565] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 07/10/2021] [Accepted: 07/15/2021] [Indexed: 12/12/2022]
Abstract
The Mongolian people, one of the Mongolic-speaking populations, are native to the Mongolian Plateau in North China and southern Siberia. Many ancient DNA studies recently reported extensive population transformations during the Paleolithic to historic periods in this region, while little is known about the paternal genetic legacy of modern geographically different Mongolians. Here, we genotyped 215 Y-chromosomal single nucleotide polymorphisms (Y-SNPs) and 37 Y-chromosomal short tandem repeats (Y-STRs) among 679 Mongolian individuals from Hohhot, Hulunbuir, and Ordos in North China using the AGCU Y37 kit and our developed eight Y-SNP SNaPshot panels (including two panels first reported herein). The C-M130 Y-SNP SNaPshot panel defines 28 subhaplogroups, and the N/O/Q complementary Y-SNP SNaPshot panel defines 30 subhaplogroups of N1b-F2930, N1a1a1a1a3-B197, Q-M242, and O2a2b1a1a1a4a-CTS4658, which improved the resolution our developed Y-SNP SNaPshot panel set and could be applied for dissecting the finer-scale paternal lineages of Mongolic speakers. We found a strong association between Mongolian-prevailing haplogroups and some observed microvariants among the newly generated Y-STR haplotype data, suggesting the possibility of haplogroup prediction based on the distribution of Y-STR haplotypes. We identified three main ancestral sources of the observed Mongolian-dominant haplogroups, including the local lineage of C2*-M217 and incoming lineages from other regions of southern East Asia (O2*-M122, O1b*-P31, and N1*-CTS3750) and western Eurasia (R1*-M173). We also observed DE-M145, D1*-M174, C1*-F3393, G*-M201, I-M170, J*-M304, L-M20, O1a*-M119, and Q*-M242 at relatively low frequencies (< 5.00%), suggesting a complex admixture history between Mongolians and other incoming Eurasians from surrounding regions. Genetic clustering analyses indicated that the studied Mongolians showed close genetic affinities with other Altaic-speaking populations and Sinitic-speaking Hui people. The Y-SNP haplotype/haplogroup-based genetic legacy not only revealed that the stratification among geographically/linguistically/ethnically different Chinese populations was highly consistent with the geographical division and language classification, but also demonstrated that patrilineal genetic materials could provide fine-scale genetic structures among geographically different Mongolian people, suggesting that our developed high-resolution Y-SNP SNaPshot panels have the potential for forensic pedigree searches and biogeographical ancestry inference.
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13
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Liu Y, Yang J, Li Y, Tang R, Yuan D, Wang Y, Wang P, Deng S, Zeng S, Li H, Chen G, Zou X, Wang M, He G. Significant East Asian Affinity of the Sichuan Hui Genomic Structure Suggests the Predominance of the Cultural Diffusion Model in the Genetic Formation Process. Front Genet 2021; 12:626710. [PMID: 34194465 PMCID: PMC8237860 DOI: 10.3389/fgene.2021.626710] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 04/28/2021] [Indexed: 11/13/2022] Open
Abstract
The ancestral origin and genomic history of Chinese Hui people remain to be explored due to the paucity of genome-wide data. Some evidence argues that an eastward migration of Central Asians gave rise to modern Hui people, which is referred to as the demic diffusion hypothesis; other evidence favors the cultural diffusion hypothesis, which posits that East Asians adopted Muslim culture to form the modern culturally distinct populations. However, the extent to which the observed genetic structure of the Huis was mediated by the movement of people or the assimilation of Muslim culture also remains highly contentious. Analyses of over 700 K SNPs in 109 western Chinese individuals (49 Sichuan Huis and 60 geographically close Nanchong Hans) together with the available ancient and modern Eurasian sequences allowed us to fully explore the genomic makeup and origin of Hui and neighboring Han populations. The results from PCA, ADMIXTURE, and allele-sharing-based f-statistics revealed a strong genomic affinity between Sichuan Huis and Neolithic-to-modern Northern East Asians, which suggested a massive gene influx from East Asians into the Sichuan Hui people. Three-way admixture models in the qpWave/qpAdm analyses further revealed a small stream of gene influx from western Eurasians into the Sichuan Hui people, which was further directly confirmed via the admixture event from the temporally distinct Western sources to Sichuan Hui people in the qpGraph-based phylogenetic model, suggesting the key role of the cultural diffusion model in the genetic formation of the Sichuan Huis. ALDER-based admixture date estimation showed that this observed western Eurasian admixture signal was introduced into the Sichuan Huis during the historic periods, which was concordant with the extensive western-eastern communication along the Silk Road and historically documented Huis' migration history. In summary, although significant cultural differentiation exists between Hui people and their neighbors, our genomic analysis showed their strong genetic affinity with modern and ancient Northern East Asians. Our results support the hypothesis that the Sichuan Huis arose from a mixture of minor western Eurasian ancestry and predominant East Asian ancestry.
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Affiliation(s)
- Yan Liu
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, China
| | - Junbao Yang
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, China
| | | | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, China
| | - Didi Yuan
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, China
| | - Yicheng Wang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, China
| | - Peixin Wang
- College of Medical Information, Chongqing Medical University, Chongqing, China
| | - Shudan Deng
- School of Medical Imaging, North Sichuan Medical College, Nanchong, China
| | - Simei Zeng
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, China
| | - Hongliang Li
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, China
| | - Gang Chen
- Hunan Key Lab of Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China
| | - Xing Zou
- Department of Forensic Genetics, Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, China
| | - Mengge Wang
- Department of Forensic Genetics, Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, China
| | - Guanglin He
- Department of Forensic Genetics, Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, China
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
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14
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Wang M, He G, Gao S, Jia F, Zou X, Liu J, Wang S, Ye Z, Hou Y, Wang Z. Molecular genetic survey and forensic characterization of Chinese Mongolians via the 47 autosomal insertion/deletion marker. Genomics 2021; 113:2199-2210. [PMID: 34022340 DOI: 10.1016/j.ygeno.2021.05.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 03/06/2021] [Accepted: 05/17/2021] [Indexed: 12/16/2022]
Abstract
The Mongolians are mainly distributed in the modern state of Mongolia, China, Russia, and other countries. While the historic and archaeological records of the rise and fall of the Mongol Empire are well documented, little has been known about the genetic legacy of modern Mongolian populations. Here, 611 Mongolian individuals from Hohhot, Hulunbuir, and Ordos of China were genotyped via the 47 Insertion/Deletion markers. Forensically statistical parameters indicated that this InDel system could be applied to forensic investigation in Mongolian populations. The comprehensive population comparisons indicated that targeted Mongolian populations are a homogeneous population, which kept close genetic proximity with geographically northern East Asians. The findings of the model-based clustering analysis revealed a southern East Asian-specific ancestral component, which was maximized in Hainan Li, and Mongolian populations harbored relatively less Hainan Li-related ancestry and more northern East Asian-related ancestry compared with reference Tai-Kadai, Austroasiatic and Sinitic people.
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Affiliation(s)
- Mengge Wang
- Shanghai Key Laboratory of Forensic Medicine, Academy of Forensic Sciences, Ministry of Justice, Shanghai 200063, China; Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Guanglin He
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu 610041, China; Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, and School of Life Sciences, Xiamen University, Xiamen 361005, China
| | - Shuang Gao
- Public Security Bureau of Ordos City, Inner Mongolia Autonomous Region 017010, China
| | - Fuquan Jia
- Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot 010110, China
| | - Xing Zou
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Shouyu Wang
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Ziwei Ye
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Yiping Hou
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu 610041, China.
| | - Zheng Wang
- Shanghai Key Laboratory of Forensic Medicine, Academy of Forensic Sciences, Ministry of Justice, Shanghai 200063, China; Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu 610041, China.
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15
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Yao H, Wang M, Zou X, Li Y, Yang X, Li A, Yeh HY, Wang P, Wang Z, Bai J, Guo J, Chen J, Ding X, Zhang Y, Lin B, Wang CC, He G. New insights into the fine-scale history of western-eastern admixture of the northwestern Chinese population in the Hexi Corridor via genome-wide genetic legacy. Mol Genet Genomics 2021; 296:631-651. [PMID: 33650010 DOI: 10.1007/s00438-021-01767-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 02/08/2021] [Indexed: 02/06/2023]
Abstract
Trans-Eurasian cultural and genetic exchanges have significantly influenced the demographic dynamics of Eurasian populations. The Hexi Corridor, located along the southeastern edge of the Eurasian steppe, served as an important passage of the ancient Silk Road in Northwest China and intensified the transcontinental exchange and interaction between populations on the Central Plain and in Western Eurasia. Historical and archeological records indicate that the Western Eurasian cultural elements were largely brought into North China via this geographical corridor, but there is debate on the extent to which the spread of barley/wheat agriculture into North China and subsequent Bronze Age cultural and technological mixture/shifts were achieved by the movement of people or dissemination of ideas. Here, we presented higher-resolution genome-wide autosomal and uniparental Y/mtDNA SNP or STR data for 599 northwestern Han Chinese individuals and conducted 2 different comprehensive genetic studies among Neolithic-to-present-day Eurasians. Genetic studies based on lower-resolution STR markers via PCA, STRUCTURE, and phylogenetic trees showed that northwestern Han Chinese individuals had increased genetic homogeneity relative to northern Mongolic/Turkic/Tungusic speakers and Tibeto-Burman groups. The genomic signature constructed based on modern/ancient DNA further illustrated that the primary ancestry of the northwestern Han was derived from northern millet farmer ancestors, which was consistent with the hypothesis of Han origin in North China and more recent northwestward population expansion. This was subsequently confirmed via excess shared derived alleles in f3/f4 statistical analyses and by more northern East Asian-related ancestry in the qpAdm/qpGraph models. Interestingly, we identified one western Eurasian admixture signature that was present in northwestern Han but absent from southern Han, with an admixture time dated to approximately 1000 CE (Tang and Song dynasties). Generally, we provided supporting evidence that historic Trans-Eurasian communication was primarily maintained through population movement, not simply cultural diffusion. The observed population dynamics in northwestern Han Chinese not only support the North China origin hypothesis but also reflect the multiple sources of the genetic diversity observed in this population.
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Affiliation(s)
- Hongbin Yao
- Belt and Road Research Center for Forensic Molecular Anthropology Gansu University of Political Science and Law, Lanzhou, 730000, China.
| | - Mengge Wang
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610065, China
| | - Xing Zou
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610065, China
| | - Yingxiang Li
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, 361005, China.,AnLan AI, Shenzhen, China
| | - Xiaomin Yang
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, 361005, China
| | - Ailin Li
- Belt and Road Research Center for Forensic Molecular Anthropology Gansu University of Political Science and Law, Lanzhou, 730000, China
| | - Hui-Yuan Yeh
- School of Humanities, Nanyang Technological University, Nanyang, Singapore, 639798, Singapore
| | - Peixin Wang
- College of Medical Information, Chongqing Medical University, Chongqing, 400331, China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610065, China
| | - Jingya Bai
- Department of Medicine, Northwest Minzu University, Lanzhou, 730000, Gansu, China.,Key Laboratory for Physique and Health of the Minorities, Northwest Minzu University, Lanzhou, 730000, Gansu, China
| | - Jianxin Guo
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, 361005, China
| | - Jinwen Chen
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, 361005, China
| | - Xiao Ding
- Belt and Road Research Center for Forensic Molecular Anthropology Gansu University of Political Science and Law, Lanzhou, 730000, China
| | - Yan Zhang
- Belt and Road Research Center for Forensic Molecular Anthropology Gansu University of Political Science and Law, Lanzhou, 730000, China
| | - Baoquan Lin
- Belt and Road Research Center for Forensic Molecular Anthropology Gansu University of Political Science and Law, Lanzhou, 730000, China
| | - Chuan-Chao Wang
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, 361005, China.
| | - Guanglin He
- Belt and Road Research Center for Forensic Molecular Anthropology Gansu University of Political Science and Law, Lanzhou, 730000, China. .,Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, 361005, China.
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16
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Massively parallel sequencing of 165 ancestry-informative SNPs and forensic biogeographical ancestry inference in three southern Chinese Sinitic/Tai-Kadai populations. Forensic Sci Int Genet 2021; 52:102475. [PMID: 33561661 DOI: 10.1016/j.fsigen.2021.102475] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 12/06/2020] [Accepted: 01/20/2021] [Indexed: 01/01/2023]
Abstract
Ancestry informative markers (AIMs), which are distributed throughout the human genome, harbor significant allele frequency differences among diverse ethnic groups. The use of sets of AIMs to reconstruct population history and genetic relationships is attracting interest in the forensic community, because biogeographic ancestry information for a casework sample can potentially be predicted and used to guide the investigative process. However, subpopulation ancestry inference within East Asia remains in its infancy due to a lack of population reference data collection and incomplete validation work on newly developed or commercial AIM sets. In the present study, 316 Chinese persons, including 85 Sinitic-speaking Haikou Han, 120 Qiongzhong Hlai and 111 Daozhen Gelao individuals belonging to Tai-Kadai-speaking populations, were analyzed using the Precision ID Ancestry Panel (165 AISNPs). Combined with our previous 165-AISNP data (375 individuals from 6 populations), the 1000 Genomes Project and forensic literature, comprehensive population genetic comparisons and ancestry inference were further performed via ADMIXTURE, TreeMix, PCA, f-statistics and N-J tree. Although several nonpolymorphic loci were identified in the three southern Chinese populations, the forensic parameters of this ancestry inference panel were better than those for the 23 STR-based Huaxia Platinum System, which is suitable for use as a robust tool in forensic individual identification and parentage testing. The results based on the ancestry assignment and admixture proportion evaluation revealed that this panel could be used successfully to assign individuals at a continental scale but also possessed obvious limitations in discriminatory power in intercontinental individuals, especially for European-Asian admixed Uyghurs or in populations lacking reference databases. Population genetic analyses further revealed five continental population clusters and three East Asian-focused population subgroups, which is consistent with linguistic affiliations. Ancestry composition and multiple phylogenetic analysis further demonstrated that the geographically isolated Qiongzhong Hlai harbored a close phylogenetic relationship with Austronesian speakers and possessed a homogenous Tai-Kadai-dominant ancestry, which could be used as the ancestral source proxy in population history reconstruction of Tai-Kadai-speaking populations and as one of the representatives for forensic database establishment. In summary, more population-specific AIM sets focused on East Asian subpopulations, comprehensive algorithms and high-coverage population reference data should be developed and validated in the next step.
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Chen C, Li Y, Tao R, Jin X, Guo Y, Cui W, Chen A, Yang Y, Zhang X, Zhang J, Li C, Zhu B. The Genetic Structure of Chinese Hui Ethnic Group Revealed by Complete Mitochondrial Genome Analyses Using Massively Parallel Sequencing. Genes (Basel) 2020; 11:E1352. [PMID: 33202591 PMCID: PMC7698084 DOI: 10.3390/genes11111352] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Revised: 11/03/2020] [Accepted: 11/09/2020] [Indexed: 01/10/2023] Open
Abstract
Mitochondrial DNA (mtDNA), coupled with maternal inheritance and relatively high mutation rates, provides a pivotal way for us to investigate the formation histories of populations. The Hui minority with Islamic faith is one of the most widely distributed ethnic groups in China. However, the exploration of Hui's genetic architecture from the complete mitochondrial genome perspective has not been detected yet. Therefore, in this study, we employed the complete mitochondrial genomes of 98 healthy and unrelated individuals from Northwest China, as well as 99 previously published populations containing 7274 individuals from all over the world as reference data, to comprehensively dissect the matrilineal landscape of Hui group. Our results demonstrated that Hui group exhibited closer genetic relationships with Chinese Han populations from different regions, which was largely attributable to the widespread of haplogroups D4, D5, M7, B4, and F1 in these populations. The demographic expansion of Hui group might occur during the Late Pleistocene. Finally, we also found that Hui group might have gene exchanges with Uygur, Tibetan, and Tajik groups in different degrees and retained minor genetic imprint of European-specific lineages, therefore, hinting the existence of multi-ethnic integration events in shaping the genetic landscape of Chinese Hui group.
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Affiliation(s)
- Chong Chen
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an 710004, China; (C.C.); (X.J.); (Y.G.); (X.Z.)
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai 200063, China; (R.T.); (A.C.); (Y.Y.); (J.Z.)
- Multi-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China;
| | - Yuchun Li
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China;
| | - Ruiyang Tao
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai 200063, China; (R.T.); (A.C.); (Y.Y.); (J.Z.)
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610017, China
| | - Xiaoye Jin
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an 710004, China; (C.C.); (X.J.); (Y.G.); (X.Z.)
| | - Yuxin Guo
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an 710004, China; (C.C.); (X.J.); (Y.G.); (X.Z.)
| | - Wei Cui
- Multi-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China;
| | - Anqi Chen
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai 200063, China; (R.T.); (A.C.); (Y.Y.); (J.Z.)
- Department of Forensic Medicine, Shanghai Medical College of Fudan University, Shanghai 200032, China
| | - Yue Yang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai 200063, China; (R.T.); (A.C.); (Y.Y.); (J.Z.)
- School of Basic Medicine, Inner Mongolia Medical University, Hohhot 010030, China
| | - Xingru Zhang
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an 710004, China; (C.C.); (X.J.); (Y.G.); (X.Z.)
| | - Jingyi Zhang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai 200063, China; (R.T.); (A.C.); (Y.Y.); (J.Z.)
| | - Chengtao Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai 200063, China; (R.T.); (A.C.); (Y.Y.); (J.Z.)
- Multi-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China;
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610017, China
- Department of Forensic Medicine, Shanghai Medical College of Fudan University, Shanghai 200032, China
- School of Basic Medicine, Inner Mongolia Medical University, Hohhot 010030, China
| | - Bofeng Zhu
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an 710004, China; (C.C.); (X.J.); (Y.G.); (X.Z.)
- Multi-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China;
- College of Forensic Medicine, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China
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Genetic Structural Differentiation Analyses of Intercontinental Populations and Ancestry Inference of the Chinese Hui Group Based on a Novel Developed Autosomal AIM-InDel Genotyping System. BIOMED RESEARCH INTERNATIONAL 2020; 2020:2124370. [PMID: 32908873 PMCID: PMC7468629 DOI: 10.1155/2020/2124370] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 05/04/2020] [Indexed: 01/08/2023]
Abstract
In the present study, we investigated the genetic polymorphisms of 39 ancestry informative marker-insertion/deletion (AIM-InDel) loci in the Chinese Hui group using a previously self-developed panel, further clarified the genetic relationships between the Hui group and other reference populations, and assessed the ancestry inference efficiency of the AIM-InDel panel based on the worldwide population data from 1000 Genomes Phase 3. The results of the locus-specific informativeness (In) and pairwise fixation index (Fst) values, multidimensional scaling analysis, and success ratio of estimation with cross-validation showed that the novel panel could well reveal the genetic structural differentiations of the East Asian, European, African, and South Asian populations. Besides, the biogeographical ancestry origin inference both at the individual and population levels was conducted on the Chinese Hui group by principal component analysis and STRUCTURE analysis, and the results revealed that the Hui group had the East Asian origin, and the East Asian component ratio of Hui group was approximately 88.87%. Furthermore, the population genetic analyses among the Hui group and reference populations were performed based on the insertion allele frequency heat map, population pairwise Fst values and phylogenetic tree, and the results indicated that the Hui group was genetically closer to East Asian populations, especially two Chinese Han populations (CHS and CHB populations).
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Joint Genetic Analyses of Mitochondrial and Y-Chromosome Molecular Markers for a Population from Northwest China. Genes (Basel) 2020; 11:genes11050564. [PMID: 32443545 PMCID: PMC7290686 DOI: 10.3390/genes11050564] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 05/09/2020] [Accepted: 05/11/2020] [Indexed: 12/27/2022] Open
Abstract
The genetic markers on mitochondria DNA (mtDNA) and Y-chromosome can be applied as a powerful tool in population genetics. We present a study to reveal the genetic background of Kyrgyz group, a Chinese ethnic group living in northwest China, and genetic polymorphisms of 60 loci on maternal inherited mtDNA and 24 loci on paternal inherited Y-chromosome short tandem repeats (Y-STRs) were investigated. The relationship between the two systems was tested, and the result indicated that they were statistically independent from each other. The genetic distances between Kyrgyz group and 11 reference populations for mtDNA, and 13 reference populations for Y-STRs were also calculated, respectively. The present results demonstrated that the Kyrgyz group was genetically closer to East Asian populations than European populations based on the mtDNA loci but the other way around for the Y-STRs. The genetic analyses could largely strengthen the understanding for the genetic background of the Kyrgyz group.
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Ancestry Prediction Comparisons of Different AISNPs for Five Continental Populations and Population Structure Dissection of the Xinjiang Hui Group via a Self-Developed Panel. Genes (Basel) 2020; 11:genes11050505. [PMID: 32375366 PMCID: PMC7288656 DOI: 10.3390/genes11050505] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 04/28/2020] [Accepted: 04/30/2020] [Indexed: 01/23/2023] Open
Abstract
Ancestry informative markers are genetic markers that show distinct genetic divergences among different populations. These markers can be utilized to discern population substructures and estimate the ancestral origins of unknown individuals. Previously, we developed a multiplex system of 30 ancestry informative single nucleotide polymorphism (AISNP) loci to facilitate ancestral inferences in different continental populations. In the current study, we first compared the ancestry resolutions of the 30 AISNPs and the other previously reported AISNP panels for African, European, East Asian, South Asian and American populations. Next, the genetic components of the Xinjiang Hui group were further explored in comparison to these continental populations based on the 30 AISNPs. Genetic divergence analyses of the 30 AISNPs in these five continental populations revealed that most of the AISNPs showed high genetic differentiations between these populations. Ancestry analysis comparisons of the 30 AISNPs and other published AISNPs revealed that these 30 AISNPs had comparable efficiency to other AISNP panels. Genetic relationship analyses among the studied Hui group and other continental populations demonstrated that the Hui group had close genetic affinities with East Asian populations and might share the genetic ancestries with East Asian populations. Overall, the 30 AISNPs can be used to predict the bio-geographical origins of different continental populations. Moreover, the obtained genetic data of 30 AISNPs in the Hui group can further enrich the extant reference data, which can be used as reference data for ancestry analyses of the Hui group.
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Li L, Zou X, Zhang G, Wang H, Su Y, Wang M, He G. Population genetic analysis of Shaanxi male Han Chinese population reveals genetic differentiation and homogenization of East Asians. Mol Genet Genomic Med 2020; 8:e1209. [PMID: 32163678 PMCID: PMC7216819 DOI: 10.1002/mgg3.1209] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 02/02/2020] [Accepted: 02/24/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Shaanxi province, located in the upper Yellow River, has been evidenced as the geographic origin of Chinese civilization, Sino-Tibetan-speaking language, and foxtail or broomcorn millet farmers via the linguistic phylogenetic spectrum, archeological documents, and genetic evidence. Nowadays, Han Chinese is the dominant population in this area. The formation process of modern Shaanxi Han population reconstructed via the ancient DNA is on the way, however, the patterns of genetic relationships of modern Shaanxi Han, allele frequency distributions of high mutated short tandem repeats (STRs) and corresponding forensic parameters are remained to be explored. METHODS Here, we successfully genotyped 23 autosomal STRs in 630 unrelated Shaanxi male Han individuals using the recently updated Huaxia Platinum PCR amplification system. Forensic allele frequency and parameters of all autosomal STRs were assessed. And comprehensive population genetic structure was explored via various typical statistical technologies. RESULTS Population genetic analysis based on the raw-genotype dataset among 15,803 Eurasian individuals and frequency datasets among 56 populations generally illustrated that linguistic stratification is significantly associated with the genetic substructure of the East Asian population. Principal component analysis, multidimensional scaling plots and phylogenetic tree further demonstrated that Shaanxi Han has a close genetic relationship with geographically close Shanxi Han, and showed that Han Chinese is a homogeneous population during the historic and recent admixture from the STR variations. Except for Sinitic-speaking populations, Shaanxi Han harbored more alleles sharing with Tibeto-Burman-speaking populations than with other reference populations. Focused on the allele frequency correlation and forensic parameters, all loci are in accordance with the minimum requirements of HWE and LD. The observed combined probability of discrimination of 8.2201E-28 and the cumulative power of exclusion of 0.9999999995 in Shaanxi Han demonstrated that the studied STR loci are informative and polymorphic, and this system can be used as a powerful routine forensic tool in personal identification and parentage testing. CONCLUSION Both the geographical and linguistic divisions have shaped the genetic structure of modern East Asian. And more forensic reference data should be obtained for ethnically, culturally, geographically and linguistically different populations for better routine forensic practice and population genetic studies.
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Affiliation(s)
- Luyao Li
- Department of PathologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiChina
| | - Xing Zou
- Institute of Forensic MedicineWest China School of Basic Science and Forensic MedicineSichuan UniversityChengduSichuanChina
| | - Guanjun Zhang
- Department of PathologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiChina
| | - Hongyan Wang
- Department of PathologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiChina
| | - Yongdong Su
- Forensic Identification CenterPublic Security Bureau of Tibet Tibetan Autonomous RegionLhasaTibet Tibetan Autonomous RegionChina
| | - Mengge Wang
- Institute of Forensic MedicineWest China School of Basic Science and Forensic MedicineSichuan UniversityChengduSichuanChina
| | - Guanglin He
- Institute of Forensic MedicineWest China School of Basic Science and Forensic MedicineSichuan UniversityChengduSichuanChina
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Li Y, Teng D, Shi X, Qin G, Qin Y, Quan H, Shi B, Sun H, Ba J, Chen B, Du J, He L, Lai X, Li Y, Chi H, Liao E, Liu C, Liu L, Tang X, Tong N, Wang G, Zhang JA, Wang Y, Xue Y, Yan L, Yang J, Yang L, Yao Y, Ye Z, Zhang Q, Zhang L, Zhu J, Zhu M, Ning G, Mu Y, Zhao J, Teng W, Shan Z. Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study. BMJ 2020; 369:m997. [PMID: 32345662 PMCID: PMC7186854 DOI: 10.1136/bmj.m997] [Citation(s) in RCA: 795] [Impact Index Per Article: 198.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
OBJECTIVE To assess the prevalence of diabetes and its risk factors. DESIGN Population based, cross sectional study. SETTING 31 provinces in mainland China with nationally representative cross sectional data from 2015 to 2017. PARTICIPANTS 75 880 participants aged 18 and older-a nationally representative sample of the mainland Chinese population. MAIN OUTCOME MEASURES Prevalence of diabetes among adults living in China, and the prevalence by sex, regions, and ethnic groups, estimated by the 2018 American Diabetes Association (ADA) and the World Health Organization diagnostic criteria. Demographic characteristics, lifestyle, and history of disease were recorded by participants on a questionnaire. Anthropometric and clinical assessments were made of serum concentrations of fasting plasma glucose (one measurement), two hour plasma glucose, and glycated haemoglobin (HbA1c). RESULTS The weighted prevalence of total diabetes (n=9772), self-reported diabetes (n=4464), newly diagnosed diabetes (n=5308), and prediabetes (n=27 230) diagnosed by the ADA criteria were 12.8% (95% confidence interval 12.0% to 13.6%), 6.0% (5.4% to 6.7%), 6.8% (6.1% to 7.4%), and 35.2% (33.5% to 37.0%), respectively, among adults living in China. The weighted prevalence of total diabetes was higher among adults aged 50 and older and among men. The prevalence of total diabetes in 31 provinces ranged from 6.2% in Guizhou to 19.9% in Inner Mongolia. Han ethnicity had the highest prevalence of diabetes (12.8%) and Hui ethnicity had the lowest (6.3%) among five investigated ethnicities. The weighted prevalence of total diabetes (n=8385) using the WHO criteria was 11.2% (95% confidence interval 10.5% to 11.9%). CONCLUSION The prevalence of diabetes has increased slightly from 2007 to 2017 among adults living in China. The findings indicate that diabetes is an important public health problem in China.
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Affiliation(s)
- Yongze Li
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, First Hospital of China Medical University, 155 Nanjing Bei Street, Shenyang, 110001, Liaoning, China
| | - Di Teng
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, First Hospital of China Medical University, 155 Nanjing Bei Street, Shenyang, 110001, Liaoning, China
| | - Xiaoguang Shi
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, First Hospital of China Medical University, 155 Nanjing Bei Street, Shenyang, 110001, Liaoning, China
| | - Guijun Qin
- Division of Endocrinology, Department of Internal Medicine, First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Yingfen Qin
- Department of Endocrinology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Huibiao Quan
- Department of Endocrinology, Hainan General Hospital, Haikou, Hainan, China
| | - Bingyin Shi
- Department of Endocrinology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi, China
| | - Hui Sun
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jianming Ba
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
| | - Bing Chen
- Department of Endocrinology, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Jianling Du
- Department of Endocrinology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Lanjie He
- Department of Endocrinology, Cardiovascular and Cerebrovascular Disease Hospital of Ningxia Medical University, Yinchuan, Ningxia, P.R. China, 750004
| | - Xiaoyang Lai
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Yanbo Li
- Department of Endocrinology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Haiyi Chi
- Department of Endocrinology, Hohhot First Hospital, Hohhot, Inner Mongolia, China
| | - Eryuan Liao
- Department of Endocrinology and Metabolism, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chao Liu
- Research Centre of Endocrine and Metabolic Diseases, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Libin Liu
- Department of Endocrinology and Metabolism, Fujian Institute of Endocrinology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Xulei Tang
- Department of Endocrinology, First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Nanwei Tong
- Department of Endocrinology and Metabolism, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Guixia Wang
- Department of Endocrinology and Metabolism, First Hospital of Jilin University, Changchun, Jilin, China
| | - Jin-An Zhang
- Department of Endocrinology, Shanghai University of Medicine and Health Science Affiliated Zhoupu Hospital, Shanghai, China
| | - Youmin Wang
- Department of Endocrinology, First Hospital of An Hui Medical University, Hefei, Anhui, China
| | - Yuanming Xue
- Department of Endocrinology, First People's Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Li Yan
- Department of Endocrinology and Metabolism, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Jing Yang
- Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Lihui Yang
- Department of Endocrinology and Metabolism, People's Hospital of Tibet Autonomous Region, Lhasa, Tibet, China
| | - Yongli Yao
- Department of Endocrinology, Qinghai Provincial People's Hospital, Xining, Qinghai, China
| | - Zhen Ye
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Qiao Zhang
- Department of Endocrinology and Metabolism, Affiliated Hospital of Guiyang Medical University, Guiyang, Guizhou, China
| | - Lihui Zhang
- Department of Endocrinology, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Jun Zhu
- Department of Endocrinology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Mei Zhu
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China
| | - Guang Ning
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, Rui-Jin Hospital affiliated with Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yiming Mu
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
| | - Jiajun Zhao
- Department of Endocrinology, Shandong Provincial Hospital affiliated with Shandong University, Jinan, Shandong, China
| | - Weiping Teng
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, First Hospital of China Medical University, 155 Nanjing Bei Street, Shenyang, 110001, Liaoning, China
| | - Zhongyan Shan
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, First Hospital of China Medical University, 155 Nanjing Bei Street, Shenyang, 110001, Liaoning, China
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Zou X, He G, Wang M, Huo L, Chen X, Liu J, Wang S, Ye Z, Wang F, Wang Z, Hou Y. Genetic diversity and phylogenetic structure of four Tibeto-Burman-speaking populations in Tibetan-Yi corridor revealed by insertion/deletion polymorphisms. Mol Genet Genomic Med 2020; 8:e1140. [PMID: 32017463 PMCID: PMC7196475 DOI: 10.1002/mgg3.1140] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 01/01/2020] [Accepted: 01/03/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Insertion/deletion polymorphisms (InDels), combined with all the desirable features of both short tandem repeat and single nucleotide polymorphism, have been used in archaeological and anthropological research, population genetics and forensic application. METHODS Thirty InDels in 530 individuals residing in the Tibetan-Yi corridor (142 Dujiangyan Tibetans, 164 Muli Tibetans, 187 Xichang Yis, and 37 Yanyuan Mosuos) were genotyped using the Investigator DIPplex. Forensic parameters and allele frequency spectrum were calculated. Genetic relationships between the investigated populations and worldwide and nationwide populations were assessed based on both the allele frequency distribution and genotype data. RESULTS The combined powers of exclusion were 0.9807 (Dujiangyan Tibetan), 0.9880 (Muli Tibetan), 0.9852 (Xichang Yi) and 0.9892 (Yanyuan Mosuo). The combined powers of discrimination were 0.999999999983 (Dujiangyan Tibetan), 0.999999999942 (Muli Tibetan), 0.999999999982 (Xichang Yi) and 0.999999999962 (Yanyuan Mosuo), respectively. The comprehensive population comparisons among worldwide and nationwide populations uniformly illustrated that the investigated populations have a genetically closer relationship with Tibeto-Burman-speaking populations and geographically adjacent populations. CONCLUSION These 30 loci can be regarded as an efficient genetic tool in forensic individual identification and as a supplementary tool in paternity testing in Dujiangyan Tibetan, Muli Tibetan, Xichang Yi, and Yanyuan Mosuo. The genetic proximity between the four populations in the Tibetan-Yi corridor and other populations is strongly correlated with the linguistic origin and geographical distance.
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Affiliation(s)
- Xing Zou
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Guanglin He
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Mengge Wang
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Liwen Huo
- Chongqing Hechuan District Public Security BureauChongqingChina
| | - Xu Chen
- Department of Clinical LaboratoryThe First People’s Hospital of Liangshan Yi Autonomous PrefectureXichangChina
| | - Jing Liu
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Shouyu Wang
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Ziwei Ye
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Fei Wang
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Zheng Wang
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Yiping Hou
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
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Genetic structure and forensic characteristics of the Kyrgyz population from Kizilsu Kirghiz autonomous prefecture based on autosomal DIPs. Int J Legal Med 2020; 136:539-541. [PMID: 32219528 DOI: 10.1007/s00414-020-02277-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 03/12/2020] [Indexed: 10/24/2022]
Abstract
Living in the heart of Eurasia, the Kyrgyz ethnic minority have a complex human evolutionary and migration history. However, the genetic architecture of the Kyrgyz population has not been fully explored. We studied 526 Kyrgyz samples from Kizilsu Kirghiz Autonomous Prefecture in Xinjiang using the Investigator® DIPplex kit. All loci followed Hardy-Weinberg equilibrium (HWE). The combined power of discrimination (CPD) and combined power of paternity exclusion (CPE) was 0.9999999999988 and 0.9936, respectively. Compared with 90 reference populations, five InDels (HLD99, HLD81, HLD64, HLD118, and HLD111) have the potential to distinguish the Kyrgyz/Uyghur/Kazak population from other East Asian populations. Our results suggested a close genetic relationship between the Kyrgyz population and the Uyghur/Kazak populations, followed by South Asian populations. This was in accordance with the inland migration hypothesis or modern human migration influenced by warfare. Overall, this system can be used as a powerful tool in forensic individual identification and as a complementary tool in paternity cases and biogeographic ancestry analyses.
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Zou X, Wang Z, He G, Wang M, Liu J, Wang S, Ye Z, Wang F, Hou Y. Genetic variation and population structure analysis of Chinese Wuzhong Hui population using 30 Indels. Ann Hum Biol 2020; 47:300-303. [PMID: 32202169 DOI: 10.1080/03014460.2020.1736627] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Background: Insertions and deletions (Indels) have been used in routine forensic studies, archaeology, and population genetics. They have certain advantages, such as absence of stutter, small amplicon lengths, and low mutation rates. The genetic variations and forensic features of Indels in the Wuzhong Hui population are, as yet, unclear.Aim: To investigate the genetic polymorphisms of 30 Indels in Wuzhong Hui people and explore their genetic relationship with 48 reference populations from all over the world.Subjects and methods: We genotyped 30 Indels included in the Investigator DIPplex Kit in 156 Wuzhong Hui individuals. The genetic polymorphisms and population genetic relationships were analysed and explored via pairwise Fst, principal component analysis, multidimensional scaling plots, phylogenetic tree, and structure.Results: The combined power of discrimination (CPD) and the combined probability of exclusion (CPE) were 0.9999999999899 and 0.9880, respectively. Population genetic diversity and affinity were associated with geographic origin and linguistic affiliation.Conclusions: The 30 Indels can be utilised as an important tool in forensic personal identification and as a supplementary method in paternity testing in Wuzhong Hui. The Wuzhong Hui people have a close genetic relationship with populations of geographical proximity and Sinitic-speaking populations, while they are different from other continental populations and Turkic-speaking populations.
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Affiliation(s)
- Xing Zou
- Institute of Forensic Medicine, West China School of Basic Medical Science and Forensic Medicine, Sichuan University, Chengdu, China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Medical Science and Forensic Medicine, Sichuan University, Chengdu, China
| | - Guanglin He
- Institute of Forensic Medicine, West China School of Basic Medical Science and Forensic Medicine, Sichuan University, Chengdu, China
| | - Mengge Wang
- Institute of Forensic Medicine, West China School of Basic Medical Science and Forensic Medicine, Sichuan University, Chengdu, China
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Medical Science and Forensic Medicine, Sichuan University, Chengdu, China
| | - Shouyu Wang
- Institute of Forensic Medicine, West China School of Basic Medical Science and Forensic Medicine, Sichuan University, Chengdu, China
| | - Ziwei Ye
- Institute of Forensic Medicine, West China School of Basic Medical Science and Forensic Medicine, Sichuan University, Chengdu, China
| | - Fei Wang
- Institute of Forensic Medicine, West China School of Basic Medical Science and Forensic Medicine, Sichuan University, Chengdu, China
| | - Yiping Hou
- Institute of Forensic Medicine, West China School of Basic Medical Science and Forensic Medicine, Sichuan University, Chengdu, China
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Butler JM, Willis S. Interpol review of forensic biology and forensic DNA typing 2016-2019. Forensic Sci Int Synerg 2020; 2:352-367. [PMID: 33385135 PMCID: PMC7770417 DOI: 10.1016/j.fsisyn.2019.12.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Accepted: 12/10/2019] [Indexed: 12/23/2022]
Abstract
This review paper covers the forensic-relevant literature in biological sciences from 2016 to 2019 as a part of the 19th Interpol International Forensic Science Managers Symposium. The review papers are also available at the Interpol website at: https://www.interpol.int/content/download/14458/file/Interpol%20Review%20Papers%202019.pdf.
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Wang Z, Wang L, Liu J, Ye J, Hou Y. Characterization of sequence variation at 30 autosomal STRs in Chinese Han and Tibetan populations. Electrophoresis 2020; 41:194-201. [PMID: 31916267 DOI: 10.1002/elps.201900278] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 10/25/2019] [Accepted: 12/08/2019] [Indexed: 11/11/2022]
Abstract
Massively parallel sequencing (MPS) technologies have the ability to reveal sequence variations within STR alleles as well as their nominal allele lengths, which have traditionally been detected by CE instruments. Recently, Thermo Fisher Scientific has updated the MPS-STR panel, named the Precision ID GlobalFiler next-generation sequencing (NGS) STR Panel version 2, with primers redesigned to add two pentanucleotide tandem repeat loci and profile interpretation supported by the Converge software. Using the Ion Chef System, the Ion S5XL System, and the Converge software, genetic variations were characterized within STR repeat and flanking regions of 30 autosomal STR markers in 115 unrelated individuals from two Chinese population groups (58 Tibetans and 57 Hans). Nineteen STRs demonstrated a relative increase in diversity with the variant sequence alleles compared with those of traditional nominal length alleles. In total, 390 alleles were identified by their sequences compared with 258 alleles that were identified by length. Of these 92 sequence variants found within the STR repeat regions, 40 variants were located in STR flanking regions. Additionally, the agreement of the results with CE data was evaluated, as was the ability of this new MPS panel to analyze case-type (11 samples) and artificially degraded samples (seven samples in triplicate). The results generated from this study illustrate that extensive sequence variation exists in commonly used STR markers in the selected population samples and indicate that this NGS STR panel has the potential to be used as an effective tool for human forensics.
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Affiliation(s)
- Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, P. R. China
| | - Le Wang
- National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Ministry of Public Security, Beijing, P. R. China
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, P. R. China
| | - Jian Ye
- National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Ministry of Public Security, Beijing, P. R. China.,Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing, P. R. China
| | - Yiping Hou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, P. R. China
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Population genetics, diversity, forensic characteristics of four Chinese populations inferred from X-chromosomal short tandem repeats. Leg Med (Tokyo) 2020; 43:101677. [PMID: 31982839 DOI: 10.1016/j.legalmed.2020.101677] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 12/17/2019] [Accepted: 01/12/2020] [Indexed: 01/10/2023]
Abstract
We genotyped 19 X-STRs included in the AGCU X19 kit in 712 unrelated Chinese individuals from four populations (Li, Hui, Tibetan, and Han) and then merged with 4156 previously genotyped subjects from 19 populations to investigate genetic relationships and population structure, as well as the association between the genetic affinity and language classification. The combined mean paternity exclusion chances and the combined probabilities of discrimination based on single allele frequencies of 19-X-STRs and haplotype frequencies of seven linkage groups were high, indicating that this set of markers was very polymorphic in the four populations studied. Therefore, this panel can complement autosomal or uniparental markers in kinship analysis and complex deficient paternity testing. Subsequently, population differentiation analyses among 23 populations based on 19 STRs and 15 populations based on over 62 million single nucleotide polymorphisms consistently demonstrated that genetic stratifications exist between the different language-speaking populations, especially Tibeto-Burman-speaking, Tungusic and Turkic-speaking populations. Our newly studied populations are genetically close to ethnolinguistically adjacent populations. Our datasets can and should be used as an allele and haplotype frequencies reference database to facilitate the use of 19-X-STRs panel in routine forensic practice.
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Chen P, Zou X, Wang M, Gao B, Su Y, He G. Forensic features and genetic structure of the Hotan Uyghur inferred from 27 forensic markers. Ann Hum Biol 2019; 46:589-600. [PMID: 31762339 DOI: 10.1080/03014460.2019.1687751] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Background: The Uyghur is the fifth largest group in China and also the largest ethnic minority in Xinjiang.Aim: To explore the genetic variations of 27 forensic genetic markers included in the newly developed SureID® PanGlobal Human DNA Identification System and analyse the genetic relationship between Xinjiang Uyghur and their neighbours.Subjects and methods: We genotyped 27 markers in 2,189 unrelated Uyghur individuals from the Hotan Prefecture in Southwest Xinjiang. Comprehensive population genetic studies among Chinese populations and worldwide populations were conducted via various statistics.Results: The combined power of discrimination (CPD) and the combined power of exclusion (CPE) of the new-generation autosomal STR amplification system in the Hotan Uyghur are 9,9999-E01 and 9,9999-E01, respectively. Population genetic studies indicate that the Hotan Uyghur show a close genetic relationship with geographically different Uyghurs and Kazakhs, while significant genetic differentiation exists between the Hotan Uyghur and some ethnicities from other non-Turkic-speaking populations. The results of population comparisons among the 52 worldwide populations demonstrate that geographically approached intercontinental populations have close genetic relationships.Conclusions: 24 autosomal STRs are highly polymorphic and informative in the Uyghur and this system is suitable for forensic personal identification and paternity testing. Our findings not only reveal that Chinese Uyghur is a homogenous population based on forensic genetic markers, but also indicate that population genetic affinity is closely related to the adjacent populations with common ethnic origin.
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Affiliation(s)
- Pengyu Chen
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,School of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Xing Zou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Mengge Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Bo Gao
- Yili Public Security Bureau of Xinjiang, Institute of forensic science, Kuitun, China
| | - Yongdong Su
- Forensic Identification Center, Public Security Bureau of Tibet Autonomous Region, Lhasa, China
| | - Guanglin He
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
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Chen P, Wu J, Luo L, Gao H, Wang M, Zou X, Li Y, Chen G, Luo H, Yu L, Han Y, Jia F, He G. Population Genetic Analysis of Modern and Ancient DNA Variations Yields New Insights Into the Formation, Genetic Structure, and Phylogenetic Relationship of Northern Han Chinese. Front Genet 2019; 10:1045. [PMID: 31737039 PMCID: PMC6832103 DOI: 10.3389/fgene.2019.01045] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 09/30/2019] [Indexed: 11/30/2022] Open
Abstract
Modern East Asians derived from the admixture of aborigines and incoming farmers expanding from Yellow and Yangtze River Basins. Distinct genetic differentiation and subsequent admixture between Northeast Asians and Southeast Asians subsequently evidenced by the mitochondrial DNA, Y-chromosomal variations, and autosomal SNPs. Recently, population geneticists have paid more attention to the genetic polymorphisms and background of southern-Han Chinese and southern native populations. The genetic legacy of northern-Han remains uncharacterized. Thus, we performed this comprehensive population genetic analyses of modern and ancient genetic variations aiming to yield new insight into the formation of modern Han, and the genetic ancestry and phylogenetic relationship of the northern-Han Chinese population. We first genotyped 25 forensic associated markers in 3,089 northern-Han Chinese individuals using the new-generation of the Huaxia Platinum System. And then we performed the first meta-analysis focused on the genetic affinity between Asian Neolithic∼Iron Age ancients and modern northern-Han Chinese by combining mitochondrial variations in 417 ancient individuals from 13 different archeological sites and 812 modern individuals, as well as Y-chromosomal variations in 114 ancient individuals from 12 Neolithic∼Iron Age sites and 2,810 modern subjects. We finally genotyped 643,897 genome-wide nucleotide polymorphisms (SNPs) in 20 Shanxi Han individuals and combined with 1,927 modern humans and 40 Eurasian ancient genomes to explore the genetic structure and admixture of northern-Han Chinese. We addressed genetic legacy, population structure and phylogenetic relationship of northern-Han Chinese via various analyses. Our population genetic results from five different reference datasets indicated that Shanxi Han shares a closer phylogenetic relationship with northern-neighbors and southern ethnically close groups than with Uyghur and Tibetan. Genome-wide variations revealed that modern northern-Han derived their ancestry from Yakut-related population (25.2%) and She-related population (74.8%). Summarily, the genetic mixing that led to the emergence of a Han Chinese ethnicity occurred at a very early period, probably in Neolithic times, and this mixing involved an ancient Tibeto-Burman population and a local pre-Sinitic population, which may have been linguistically Altaic.
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Affiliation(s)
- Pengyu Chen
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Jian Wu
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Li Luo
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Hongyan Gao
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Mengge Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Xing Zou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Yingxiang Li
- Department of Bioinformatics, WeGene, Shenzhen, China
| | - Gang Chen
- Department of Bioinformatics, WeGene, Shenzhen, China
| | - Haibo Luo
- Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Limei Yu
- Key Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Yanyan Han
- Department of Nutrition and Food Hygiene, School of Public Health, Zunyi Medical University, Zunyi, China
| | - Fuquan Jia
- Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot, China
| | - Guanglin He
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
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Genetic substructure and forensic characteristics of Chinese Hui populations using 157 Y-SNPs and 27 Y-STRs. Forensic Sci Int Genet 2019; 41:11-18. [DOI: 10.1016/j.fsigen.2019.03.022] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2018] [Revised: 03/20/2019] [Accepted: 03/23/2019] [Indexed: 01/10/2023]
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Population genetics, diversity and forensic characteristics of Tai–Kadai-speaking Bouyei revealed by insertion/deletions markers. Mol Genet Genomics 2019; 294:1343-1357. [DOI: 10.1007/s00438-019-01584-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2018] [Accepted: 05/30/2019] [Indexed: 12/13/2022]
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33
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He G, Wang Z, Su Y, Zou X, Wang M, Chen X, Gao B, Liu J, Wang S, Hou Y. Genetic structure and forensic characteristics of Tibeto-Burman-speaking Ü-Tsang and Kham Tibetan Highlanders revealed by 27 Y-chromosomal STRs. Sci Rep 2019; 9:7739. [PMID: 31123281 PMCID: PMC6533295 DOI: 10.1038/s41598-019-44230-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Accepted: 05/08/2019] [Indexed: 01/04/2023] Open
Abstract
Culturally diverse Tibetans (Ü-Tsang, Kham and Ando) harboring a unique molecular mechanism that allows them to successfully adapt to hypoxic environments in the Qinghai-Tibet Plateau have been a subject of great interest in medical genetics, linguistics, archeology and forensic science. However, forensic characteristics and genetic variations of the Y-chromosomal 27-marker haplotype included in the Yfiler Plus system in the Ü-Tsang and Kham Tibeto-Burman-speaking Tibetans remain unexplored. Thus, we genotyped 27 Y-STRs in 230 Shigatse Ü-Tsang Tibetans (SUT) and 172 Chamdo Kham Tibetans (CKT) to investigate the forensic characterization and genetic affinity of Chinese Tibetan Highlanders. The haplotype diversities were 0.999962028 in SUT and 0.999796002 in CKT. Forensic diversity measures indicated that this 27-Y-STR amplification system is appropriate for routine forensic applications, such as identifying and separating unrelated males in deficiency paternity cases, male disaster victims and missing person identification and determining male components in sexual assault cases. Moreover, the genetic relationships among 63 worldwide populations (16,282 individuals), 16 Asian populations, and 21 Chinese populations were analyzed and reconstructed using principal component analysis, multidimensional scaling plots and a phylogenetic tree. Considerable genetic differences were observed between Tibetan populations and other geographically/ethnically diverse populations (Han Chinese). Our studied SUT and CKT have a genetically closer relationship with Gansu Ando Tibetans than with other Asians. In total, our analyses indicated that subpopulation structures exist among Asian and Chinese populations, and population-specific reference databases should be established for forensic applications.
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Affiliation(s)
- Guanglin He
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Yongdong Su
- Forensic Identification Center, Public Security Bureau of Tibet Tibetan Autonomous Region, Lhasa, Tibet Tibetan Autonomous Region, 850000, China
| | - Xing Zou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Mengge Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Xu Chen
- Department of Clinical Laboratory, the First People's Hospital of Liangshan Yi Autonomous Prefecture, Xichang, Sichuan, 615000, China
| | - Bo Gao
- Yili Public Security Bureau, Yili, Xinjiang Uygur Autonomous Region, 418000, China
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Shouyu Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Yiping Hou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, China.
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He G, Wang Z, Zou X, Wang M, Liu J, Wang S, Ye Z, Chen P, Hou Y. Tai-Kadai-speaking Gelao population: Forensic features, genetic diversity and population structure. Forensic Sci Int Genet 2019; 40:e231-e239. [PMID: 30910535 DOI: 10.1016/j.fsigen.2019.03.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 03/14/2019] [Accepted: 03/16/2019] [Indexed: 12/12/2022]
Abstract
Genetic analyses of geographically and ethno-linguistically different populations are essential for understanding population stratification and genomic structure in medical Genome-Wide Association Studies (GWAS) and genetic variation and diversity related to forensic and population genetics studies. Here, we genotyped 30 autosomal insertion/deletion (Indel) markers from 502 Tai-Kadai-speaking Gelao individuals residing in the rugged topographical area in Southeastern China. In addition, two comprehensive population genetic comparisons of 15,327 individuals from 95 worldwide populations and of 6122 individuals from Asia and adjoining populations were conducted based on allele frequency data and raw genotype data, respectively. All studied markers were found to be in Hardy-Weinberg equilibrium. The combined power of discrimination in the Gelao minority group was 0.999999999975, and the combined probability of exclusion was 0.9879. Our results from the forensic statistical parameters indicated that this Indel panel can be independently used as a powerful tool in forensic individual identification but can only be used as a complementary tool in paternity cases involving East Asians. We also found significant allele frequency differences between the Gelao and other continental populations with respect to the markers grouped in clusters ∼Ⅳ, suggesting that these can be used as forensic ancestry informative Indel markers to distinguish the Gelao from other continental populations. Genetic ancestry analyses demonstrated that Tai-Kadai-speaking Gelao share a dominant ancestry component with Hmong-Mien-speaking Miao. Our population genetic results from multidimensional scaling plots, principal component analysis, neighboring-joining tree construction and hierarchical clustering also suggested that the Zunyi Gelao are genetically closer to their linguistically or geographically close populations, such as the Han Chinese, Guizhou Bouyei and the Hubei Tujia, than to Turkic and Tibeto-Burman speakers.
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Affiliation(s)
- Guanglin He
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Xing Zou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Mengge Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Shouyu Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Ziwei Ye
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Pengyu Chen
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi 563099, Guizhou, China; School of Forensic Medicine, Zunyi Medical University, Zunyi 563099, Guizhou, China.
| | - Yiping Hou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China.
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Sanchez-Mazas A, Nunes JM. Does NGS typing highlight our understanding of HLA population diversity? Hum Immunol 2019; 80:62-66. [DOI: 10.1016/j.humimm.2018.10.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 10/08/2018] [Accepted: 10/09/2018] [Indexed: 01/08/2023]
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36
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Zou X, Wang Z, He G, Wang M, Su Y, Liu J, Chen P, Wang S, Gao B, Li Z, Hou Y. Population Genetic Diversity and Phylogenetic Characteristics for High-Altitude Adaptive Kham Tibetan Revealed by DNATyper TM 19 Amplification System. Front Genet 2018; 9:630. [PMID: 30619458 PMCID: PMC6304359 DOI: 10.3389/fgene.2018.00630] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 11/26/2018] [Indexed: 11/13/2022] Open
Abstract
Tibetans residing in the high-altitude inhospitable environment have undergone significant natural selection of their genetic architecture. Recently, highly mutational autosomal short tandem repeats were widely used not only in the anthropology and population genetics to investigate the genetic structure and relationships, but also in the medical genetics to explore the pathogenesis of multiple genetic diseases and in the forensic science to identify individual and parentage relatedness. However, genetic variants and forensic efficiency of DNATyperTM 19 amplification system and genetic background of Kham Tibetan remain uncharacterized. Thus, we genotyped 19 forensic genetic markers in 11,402 Kham Tibetans to gain insight into the genetic diversity of Chinese high-altitude adaptive population. Highly discriminating and polymorphic forensic measures were observed, which indicated that this new-developed DNATyper 19 PCR amplification is suitable for routine forensic identification purposes and Chinese national DNA database establishment. Pairwise genetic distances among the comprehensive population comparisons suggested that this high-altitude adaptive Kham Tibetan has genetically closer relationships with lowlanders of Tibeto-Burman-speaking populations (Chengdu Tibetan, Liangshan Tibetan, and Liangshan Yi). Genetic substructure analyses via phylogenetic reconstruction, principal component analysis, and multidimensional scaling analysis in both nationwide and worldwide contexts suggested that the genetic proximity exists along the linguistic, ethnic, and continental geographical boundary. Further studies with whole-genome sequencing of modern or archaic Kham Tibetans would be useful in reconstructing the Tibetan population history.
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Affiliation(s)
- Xing Zou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Guanglin He
- Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Mengge Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Yongdong Su
- Forensic Identification Center, Public Security Bureau of Tibet Autonomous Region, Lhasa, China
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Pengyu Chen
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,School of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Shouyu Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Bo Gao
- Institute of Forensic Science, Yili Public Security Bureau of Xinjiang, Kuytun, China
| | - Zhao Li
- Department of Criminal Investigation, Mianyang Public Security Bureau, Mianyang, China
| | - Yiping Hou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
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Genetic diversities and phylogenetic analyses of three Chinese main ethnic groups in southwest China: A Y-Chromosomal STR study. Sci Rep 2018; 8:15339. [PMID: 30337624 PMCID: PMC6193932 DOI: 10.1038/s41598-018-33751-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 10/05/2018] [Indexed: 01/25/2023] Open
Abstract
Short tandem repeats (STRs) located on the Y chromosome with the properties of male-specific inheritance and haploidy are widely used in forensics to analyze paternal genealogies and match male trace donors to evidence. Besides, Y-chromosomal haplotypes play an important role in providing breathtaking insights into population genetic history. However, the genetic diversity and forensic characteristics of Y-STRs in Guizhou main ethnic groups (Hans, Miaos and Bouyeis) remain uncharacterized. Here, we obtained Y-chromosomal 23-marker haplotypes in three Guizhou populations and submitted the first batch of Y-STR haplotype data to the YHRD. The HD in the aforementioned three populations are 0.99990, 0.99983, and 0.99979, respectively, and DC values are 0.9902, 0.9908, and 0.97959, respectively. Subsequently, genetic differentiation between our newly studied populations and reference groups along ethnic/administrative divisions, as well as national/continental boundaries were investigated via AMOVA, MDS, and phylogenetic relationship reconstruction. Significant genetic differentiations from our subjects and other groups are identified in ethnically, linguistically and geographically diverse populations, including most prominently Tibetans and Uyghurs among 30 mainland Chinese populations, Taiwanese groups and others among 58 Asian populations, as well as African groups and others among 89 worldwide populations. Qiannan Bouyei has a close genetic relationship with Guangxi Zhuang, and Zunyi Han and Qiandongnan Miao have close genetic affinity with Hunan Han and Guizhou Shui, respectively. Collectively, this new-generation Y-STR amplification system can be used as a supplementary tool in forensic identification and male parentage testing and even pedigree search.
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Genetic structure and polymorphisms of Gelao ethnicity residing in southwest china revealed by X-chromosomal genetic markers. Sci Rep 2018; 8:14585. [PMID: 30275508 PMCID: PMC6167355 DOI: 10.1038/s41598-018-32945-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 09/19/2018] [Indexed: 01/10/2023] Open
Abstract
X-chromosome short tandem repeat markers (X-STRs), due to their special inheritance models, physical location on a single chromosome and the absence of recombination in male meiosis, play an important role in forensic and population genetics. While a series of genetic analyses focusing on the genetic diversity and forensic characteristics of X-STRs are well studied for ethnically/linguistically diverse and demographically large Chinese populations, genetic evidence from Gelao ethnicity is still sparse. Here, we genotyped the first batch of 19 X-STRs in 513 Chinese Gelao individuals (265 females and 248 males), and reported genetic polymorphisms, forensic characteristics based on the single locus and seven linkage groups. DXS10135 with the highest PIC (0.9106) and LG1 (DXS10148-DXS10135-DXS8378) with the largest HD (0.9970) are polymorphic and informative. The CPDs in Gelao males and females are respectively larger than 0.999999999997095 and 0.99999999999999999999918, and the combined MECs are larger than 0.999999975715109. Subsequently, we investigated the population relationships among 14 Chinese populations based on 19 X-STRs and among 23 populations based on 11 overlapped X-STRs. Our results revealed genetic differentiations among Tibeto-Burman, Altaic and other Chinese homogenous populations, and demonstrated that Guizhou Gelao has the genetically closer relationships with Han Chinese and geographically close Guizhou Miao.
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Forensic characterization and genetic polymorphisms of 19 X-chromosomal STRs in 1344 Han Chinese individuals and comprehensive population relationship analyses among 20 Chinese groups. PLoS One 2018; 13:e0204286. [PMID: 30235314 PMCID: PMC6147642 DOI: 10.1371/journal.pone.0204286] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 09/04/2018] [Indexed: 01/10/2023] Open
Abstract
X-chromosomal short tandem repeats (X-STRs) may assist resolution of complex forensic kinship cases and complement autosomal and Y-chromosomal STRs in routine forensic practice and population genetics. In the present study, we investigated the allele/haplotype diversity and forensic genetic characteristics of 19 X- STRs in 206 Guizhou Han and 1344 Meta-Han Chinese individuals using AGCU X19 PCR amplification system. Population relationships within five Han Chinese population groups (1344 individuals), between Guizhou Han and other 19 Chinese reference populations belonging to four language families (5074 individuals), as well as between Meta-Han Chinese and other 15 minorities (3730 individuals) were performed using Reynolds’s, Nei’s and Fst genetic distances, principal component analysis (PCA), multidimensional scaling (MDS), Structure and Neighbor-Joining tree. Mean paternity exclusion chance (MEC) in Duos > 0.99999999453588 and in trios > 0.99999999999781, as well as power of discrimination (PD) > 0.99999999999980 in Guizhou Han on the basis of allele frequencies. Consistent high MECs and PDs can be observed in Meta-Han Chinese population based on both allele diversities of 19 markers and haplotype diversities of seven linkage groups (LG). DXS10135 and LG1 are the most informative and polymorphic in Han Chinese group. The comprehensive population comparisons reveal that Han Chinese is a homogenous population and has the genetically closer relationship with Hmong-Mien-speaking groups than Tibetan-Burman-speaking and Turkic-speaking populations. In summary, AGCU X19 PCR amplification system is highly polymorphic and informative in Guizhou Han and Han Chinese populations. The comprehensive population data from 20 Chinese populations analyzed in this study may be used as a reference Chinese frequency database of X-STRs for forensic casework applications.
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Genetic variations and forensic characteristics of Han Chinese population residing in the Pearl River Delta revealed by 23 autosomal STRs. Mol Biol Rep 2018; 45:1125-1133. [PMID: 30022462 DOI: 10.1007/s11033-018-4264-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 07/13/2018] [Indexed: 12/11/2022]
Abstract
Pearl River Delta, known as the Chinese "South Gate", locates adjacent to Hong Kong and Macao, and across the sea from the Southeast Asian region. Herein, 4325 unrelated Han Chinese individuals residing in the Pearl River Delta region were recruited and genotyped with 23 autosomal STRs (the expanded CODIS core loci plus D6S1043, Penta D and Penta E). No evidence of deviation from Hardy-Weinberg equilibrium after Bonferroni correction was observed. The combined match probability and combined power of exclusion were 1.7829 × 10-28 and 0.9999999996, respectively. Next, population comparisons among ethnically, linguistically, and geographically diverse populations (11 Chinese populations based on genotypes of same 23 autosomal STRs, 46 Chinese nationwide populations based on allele frequency distributions of 19 autosomal STRs and 51 worldwide populations on the basis of 20 autosomal STRs) were performed via Structure, MDS, PCA and neighbor-joining tree. Genetic heterogeneities among Chinese nationalities along ethno-linguistic boundaries (Turkic-speaking, Tibeto-Burman-speaking, and Chinese-speaking populations) and geographic divisions (North-Han and South-Han) have been illustrated by first two autosomal microsatellite datasets. The results from worldwide population genetic relationship exploration based on 20 autosomal STRs demonstrated that genetic affinity has existed within ethnical and geographical close populations.
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