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Chen L, Feng Y, Pan S, Wang L, Zhang H, Jin X, Wang Q, Liu Y, Yang M, Huang X, Tian S, Gu C, Huang J, Ren Z. Maternal genetic architecture of Guizhou's Hmong-Mien populations via whole mitogenome. Genomics 2025; 117:111041. [PMID: 40139472 DOI: 10.1016/j.ygeno.2025.111041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2024] [Revised: 02/07/2025] [Accepted: 03/23/2025] [Indexed: 03/29/2025]
Abstract
The Hmong-Mien (HM) language family, majorly distributed across southern China and Southeast Asia, has remained underexplored in population genetics, particularly concerning whole mitogenome studies. In this study, we sequenced the whole mitogenomes of 261 individuals from Guizhou Hmong-Mien-speaking populations (HM-G), comprising Miao, Yao, and She individuals. The haplogroup distribution was dominated by southern East Asian haplogroups (B, M7, and F). The neutrality test revealed significantly negative values, and mismatch distribution analyses showed a pronounced unimodal distribution, indicating high genetic diversity and recent population expansion in populations. For a comprehensive understanding of the matrilineal genetic background of the HM-speaking population, we merged whole mitogenome data from 83 populations worldwide. Our findings showed that the HM-G exhibited relatively close genetic distances to HM- and Tai-Kadai-speaking populations from East and Southeast Asia. These results provide crucial insights into the genetic structure and evolutionary history of HM-G.
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Affiliation(s)
- Li Chen
- School of Forensic Medicine, Guizhou Medical University, Guiyang 550004, Guizhou, China
| | - Yuhang Feng
- Institute of Rare Diseases, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610000, China; Center for Archaeological Science, Sichuan University, Chengdu 610000, China
| | - Shuaiji Pan
- School of Forensic Medicine, Guizhou Medical University, Guiyang 550004, Guizhou, China
| | - Lin Wang
- School of Forensic Medicine, Guizhou Medical University, Guiyang 550004, Guizhou, China
| | - Hongling Zhang
- School of Forensic Medicine, Guizhou Medical University, Guiyang 550004, Guizhou, China
| | - Xiaoye Jin
- School of Forensic Medicine, Guizhou Medical University, Guiyang 550004, Guizhou, China
| | - Qiyan Wang
- School of Forensic Medicine, Guizhou Medical University, Guiyang 550004, Guizhou, China
| | - Yubo Liu
- School of Forensic Medicine, Guizhou Medical University, Guiyang 550004, Guizhou, China
| | - Meiqing Yang
- School of Forensic Medicine, Guizhou Medical University, Guiyang 550004, Guizhou, China
| | - Xiaolan Huang
- School of Forensic Medicine, Guizhou Medical University, Guiyang 550004, Guizhou, China
| | - Shunyi Tian
- School of Forensic Medicine, Guizhou Medical University, Guiyang 550004, Guizhou, China
| | - Changyun Gu
- School of Forensic Medicine, Guizhou Medical University, Guiyang 550004, Guizhou, China
| | - Jiang Huang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550004, Guizhou, China.
| | - Zheng Ren
- School of Forensic Medicine, Guizhou Medical University, Guiyang 550004, Guizhou, China.
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Yang C, Liu C, Lun M, Chen X, Xu Q, Liu X, He M, Ye L, He G, Wang M, Liu C. Dissecting the genetic admixture and forensic signatures of ethnolinguistically diverse Chinese populations via a 114-plex NGS InDel panel. BMC Genomics 2024; 25:1137. [PMID: 39587470 PMCID: PMC11587575 DOI: 10.1186/s12864-024-10894-y] [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: 07/29/2024] [Accepted: 10/11/2024] [Indexed: 11/27/2024] Open
Abstract
Comprehensive characterizations of genetic diversity and demographic models of ethnolinguistically diverse Chinese populations are essential for elucidating their forensic characteristics and evolutionary past. We developed a 114-plex NGS InDel panel to genotype 114 genome-wide markers and investigated the genetic structures of Zhuang, Hui, Miao, Li, Tibetan, Yi, and Mongolian populations, encompassing five language families. This panel demonstrated robust performance, with exceptional potential for forensic individual identification and paternity testing, evidenced by the combined power of discrimination for 77 autosomal InDels (ranged from 1-3.6400 × 10-30 to 1-3.5713 × 10-32) and the combined power of exclusion (ranged from 1-2.1863 × 10-6 to 1-2.1261 × 10-7). The cumulative mean exclusion chance for 32 X-chromosomal InDels varied between 0.99996 and 0.99999 for trios and 0.99760 to 0.99898 for duos. We also analyzed genetic similarities and differences between these populations and 27 global populations, revealing distinct clusters among African, South Asian, East Asian, and European groups, with a close genetic affinity to East Asians. Notably, we identified geography-related genetic substructures: Inner Mongolia Mongolians and Gansu Huis formed a northern branch, Tibetans and Yis from Sichuan constituted a highland branch, and Guangxi Zhuangs exhibited close ties with Hainan Lis and Guangxi Miaos in the southern branch. Additionally, many InDels proved to be ancestry-informative markers for biogeographic ancestry inference. Collectively, these findings underscore the utility of the 114-plex NGS InDel panel as a complementary tool for forensic investigations and as a source of insights into the genetic architecture of ethnolinguistically distinct Chinese populations.
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Affiliation(s)
- Chengliang Yang
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Changhui Liu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Miaoqiang Lun
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Xiaohui Chen
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Quyi Xu
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Xueyuan Liu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Meiyun He
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Linying Ye
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Guanglin He
- Center for Archaeological Science, Sichuan University, Chengdu, China.
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, China.
| | - Mengge Wang
- Center for Archaeological Science, Sichuan University, Chengdu, China.
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, China.
| | - Chao Liu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
- National Anti-Drug Laboratory Guangdong Regional Center, Guangzhou, China.
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Zhang H, Yang M, Zhang H, Ren Z, Wang Q, Liu Y, Jin X, Ji J, Feng Y, Cai C, Ran Q, Li C, Huang J. Forensic features and phylogenetic structure survey of four populations from southwest China via the autosomal insertion/deletion markers. Forensic Sci Res 2024; 9:owad052. [PMID: 38765700 PMCID: PMC11102079 DOI: 10.1093/fsr/owad052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 05/09/2023] [Indexed: 05/22/2024] Open
Abstract
Insertion/Deletion (InDel) polymorphisms, characterized by their smaller amplicons, reduced mutation rates, and compatibility with the prevalent capillary electrophoresis (CE) platforms in forensic laboratories, significantly contribute to the advancement and application of genetic analysis. Guizhou province in China serves as an important region for investigating the genetic structure, ethnic group origins, and human evolution. However, DNA data and the sampling of present-day populations are lacking, especially about the InDel markers. Here, we reported data on 47 autosomal InDels from 592 individuals from four populations in Guizhou (Han, Dong, Yi, and Chuanqing). Genotyping was performed with the AGCU InDel 50 kit to evaluate their utility for forensic purposes and to explore the population genetic structure. Our findings showed no significant deviations from Hardy-Weinberg and linkage equilibriums. The combined power of discrimination (CPD) and the combined power of exclusion (CPE) for each population demonstrated that the kit could be applied to forensic individual identification and was an effective supplement for parentage testing. Genetic structure analyses, including principal component analysis, multidimensional scaling, genetic distance calculation, STRUCTURE, and phylogenetic analysis, highlighted that the genetic proximity of the studied populations correlates with linguistic, geographical, and cultural factors. The observed genetic variances within four research populations were less pronounced than those discerned between populations across different regions. Notably, the Guizhou Han, Dong, and Chuanqing populations showed closer genetic affiliations with linguistically similar groups than the Guizhou Yi. These results underscore the potential of InDel markers in forensic science and provide insights into the genetic landscape and human evolution in multi-ethnic regions like Guizhou. Key points InDel markers show promise for forensic individual identification and parentage testing via the AGCU InDel 50 kit.Genetic analysis of Guizhou populations reveals correlations with linguistic, geographical, and cultural factors.Guizhou Han, Dong, and Chuanqing populations showed closer genetic affiliations with linguistically similar groups than the Guizhou Yi.
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Affiliation(s)
- Han Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
- Institute of Forensic Science, Fudan University, Shanghai, China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Xiaoye Jin
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Jingyan Ji
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Yuhang Feng
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Changsheng Cai
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Qianchong Ran
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Chengtao Li
- Institute of Forensic Science, Fudan University, Shanghai, China
| | - Jiang Huang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
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Chen C, Guo Y, Fang Y, Shi J, Meng H, Qu L, Zhang X, Zhu B. The maternal phylogenetic insights of Yunnan Miao group revealed by complete mitogenomes. Gene 2024; 901:148046. [PMID: 38081335 DOI: 10.1016/j.gene.2023.148046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 11/28/2023] [Indexed: 01/21/2024]
Abstract
The Miao group is one of the representative Hmong-Mien-speaking populations and primarily scattered in southern China and Southeast Asia, which has experienced massive migrations in history and thus forms distinctive evolutionary genetics. Yet, the genetic explorations of Miao group are relatively limited based on complete mitochondrial genome (mitogenome), especially for the Miao group from Yunnan Province (YNM). Here, we sequenced complete mitogenomes of 132 Miao individuals from Yunnan Province using massively parallel sequencing method. Total 132 Miao individuals could be allocated to 119 various haplotypes, which were mainly dominated by haplogroups prevalent in southern East Asia (B, F, M7 and R9), and rarely occupied by northern lineages (A, D, G and M8). In order to dissect the genetic background of YNM more comprehensively, we introduced 99 published population data with 7135 complete mitochondrial sequences for population genetic comparisons. YNM exhibited closer genetic relationships with Hmong-Mien, Tai-Kadai, Sino-Tibetan and Austroasiatic populations, especially for Hmong-Mien populations; we further speculated that Miao group might have certain direct or indirect gene exchanges with ancient Baiyue groups. Several maternal lineages, such as B5a1c1a, F1g1, B4a5 and D4e1a3, were found to be specifically shared by YNM and other Hmong-Mien populations, and these matrilineal expansions occurred roughly during the Neolithic period. Eventually, according to the population dynamic analyses of YNM, the population size began to emerge recovery ∼1-0.5 kya after a long-term population reduction ∼1-5 kya, during which the B5a1c1a haplogroup manifested relatively apparent lineage expansion.
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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; Department of Forensic Medicine, Faculty of Basic Medical Science, Chongqing Medical University, Chongqing 400016, China
| | - Yuxin Guo
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China
| | - Yating Fang
- School of Basic Medical Sciences, Anhui Medical University, Anhui 230031, China
| | - Jianfeng Shi
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China
| | - Haotian Meng
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China
| | - Li Qu
- Department of Rheumatology and Immunology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China
| | - Xingru Zhang
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; College of Forensic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - Bofeng Zhu
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; College of Forensic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China; Multi-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China.
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Wang J, Yang L, Duan S, Sun Q, Li Y, Wu J, Wu W, Wang Z, Liu Y, Tang R, Yang J, Liu C, Yuan B, Wang D, Xu J, Wang M, He G. Genome-wide allele and haplotype-sharing patterns suggested one unique Hmong-Mein-related lineage and biological adaptation history in Southwest China. Hum Genomics 2023; 17:3. [PMID: 36721228 PMCID: PMC9887792 DOI: 10.1186/s40246-023-00452-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 01/22/2023] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Fine-scale genetic structure of ethnolinguistically diverse Chinese populations can fill the gap in the missing diversity and evolutionary landscape of East Asians, particularly for anthropologically informed Chinese minorities. Hmong-Mien (HM) people were one of the most significant indigenous populations in South China and Southeast Asia, which were suggested to be the descendants of the ancient Yangtze rice farmers based on linguistic and archeological evidence. However, their deep population history and biological adaptative features remained to be fully characterized. OBJECTIVES To explore the evolutionary and adaptive characteristics of the Miao people, we genotyped genome-wide SNP data in Guizhou HM-speaking populations and merged it with modern and ancient reference populations via a comprehensive population genetic analysis and evolutionary admixture modeling. RESULTS The overall genetic admixture landscape of Guizhou Miao showed genetic differentiation between them and other linguistically diverse Guizhou populations. Admixture models further confirmed that Miao people derived their primary ancestry from geographically close Guangxi Gaohuahua people. The estimated identity by descent and effective population size confirmed a plausible population bottleneck, contributing to their unique genetic diversity and population structure patterns. We finally identified several natural selection candidate genes associated with several biological pathways. CONCLUSIONS Guizhou Miao possessed a specific genetic structure and harbored a close genetic relationship with geographically close southern Chinese indigenous populations and Guangxi historical people. Miao people derived their major ancestry from geographically close Guangxi Gaohuahua people and experienced a plausible population bottleneck which contributed to the unique pattern of their genetic diversity and structure. Future ancient DNA from Shijiahe and Qujialing will provide new insights into the origin of the Miao people.
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Affiliation(s)
- Jiawen Wang
- grid.413458.f0000 0000 9330 9891College of Forensic Medicine, Guizhou Medical University, Guiyang, 550004 China
| | - Lin Yang
- grid.413458.f0000 0000 9330 9891College of Forensic Medicine, Guizhou Medical University, Guiyang, 550004 China
| | - Shuhan Duan
- grid.449525.b0000 0004 1798 4472School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000 China
| | - Qiuxia Sun
- grid.203458.80000 0000 8653 0555Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331 China
| | - Youjing Li
- grid.411634.50000 0004 0632 4559Congjiang People’s Hospital, Congjiang, 557499 China
| | - Jun Wu
- grid.413458.f0000 0000 9330 9891College of Forensic Medicine, Guizhou Medical University, Guiyang, 550004 China
| | - Wenxin Wu
- grid.413458.f0000 0000 9330 9891College of Forensic Medicine, Guizhou Medical University, Guiyang, 550004 China
| | - Zheng Wang
- grid.13291.380000 0001 0807 1581Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, 610000 China
| | - Yan Liu
- grid.13291.380000 0001 0807 1581Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041 China ,grid.449525.b0000 0004 1798 4472School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000 China
| | - Renkuan Tang
- grid.203458.80000 0000 8653 0555Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331 China
| | - Junbao Yang
- grid.449525.b0000 0004 1798 4472School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000 China
| | - Chao Liu
- grid.12981.330000 0001 2360 039XFaculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275 China
| | - Buhong Yuan
- Longli People’s Hospital, Longli, 551299 China
| | - Daoyong Wang
- Nayong Guohua Yixin Hospital, Nayong, 553306 China
| | - Jianwei Xu
- Department of Pharmacology, School of Basic Medicine, Guizhou Medical University, Guiyang, 550004, China.
| | - Mengge Wang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China.
| | - Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China.
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Forensic efficacy evaluation and genetic structure exploration of the Yunnan Miao group by a multiplex InDel panel. Electrophoresis 2022; 43:1765-1773. [DOI: 10.1002/elps.202100387] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 04/08/2022] [Accepted: 05/19/2022] [Indexed: 11/07/2022]
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Yang M, He G, Ren Z, Wang Q, Liu Y, Zhang H, Zhang H, Chen J, Ji J, Zhao J, Guo J, Zhu K, Yang X, Wang R, Ma H, Wang CC, Huang J. Genomic Insights Into the Unique Demographic History and Genetic Structure of Five Hmong-Mien-Speaking Miao and Yao Populations in Southwest China. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.849195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Southern China was the original center of multiple ancestral populations related to modern Hmong-Mien, Tai-Kadai, Austroasiatic, and Austronesian people. More recent genetic surveys have focused on the fine-scale genetic structure and admixture history of southern Chinese populations, but the genetic formation and diversification of Hmong-Mien speakers are far from clear due to the sparse genetic sampling. Here, we reported nearly 700,000 single-nucleotide polymorphisms (SNPs) data from 130 Guizhou Miao and Yao individuals. We used principal component analysis, ADMIXTURE, f-statistics, qpAdm, phylogenetic tree, fineSTRUCTURE, and ALDER to explore the fine-scale population genetic structure and admixture pattern of Hmong-Mien people. The sharing allele patterns showed that our studied populations had a strong genetic affinity with ancient and modern groups from southern and southeastern East Asia. We identified one unique ancestry component maximized in Yao people, which widely existed in other Hmong-Mien-speaking populations in southern China and Southeast Asia and ancient samples of Guangxi. Guizhou Hmong-Mien speakers harbored the dominant proportions of ancestry related to southern indigenous East Asians and minor proportions of northern ancestry related to Yellow River farmers, suggesting the possibility of genetic admixture between Hmong-Mien people and recent southward Sino-Tibetan-related populations. Furthermore, we found a genetic substructure among geographically different Miao and Yao people in Leishan and Songtao. The Yao and Miao people in Leishan harbored more southern East Asian ancestry, but Miao in Songtao received more northern East Asian genetic influence. We observed high mtDNA but low Y-chromosome diversity in studied Hmong-Mien groups, supporting the role of sex-specific residence in influencing human genetic variation. Our data provide valuable clues for further exploring population dynamics in southern China.
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Forensic characteristic of 19 X-STRs in Chuanqing, Tujia and Yi groups from Guizhou province and their genetic relationships with other reference populations. GENE REPORTS 2022. [DOI: 10.1016/j.genrep.2022.101553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Cui W, Nie S, Fang Y, Chen M, Zhao M, Lan Q, Shen C, Zhu B. Insights into AIM-InDel diversities in Yunnan Miao and Hani ethnic groups of China for forensic and population genetic purposes. Hereditas 2022; 159:22. [PMID: 35590349 PMCID: PMC9121611 DOI: 10.1186/s41065-022-00238-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 05/11/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Ancestry informative markers are regarded as useful tools for inferring the ancestral information of an individual, which have been widely used in the criminal investigations and population genetic studies. Previously, a multiplex amplification panel containing 39 AIM-InDel loci was constructed. This study aims to investigate the genetic polymorphisms of these 39 AIM-InDel loci in Yunnan Hani and Miao ethnic groups, and to uncover their genetic affinities with reference populations based on the AIM-InDel markers. MATERIALS AND METHODS In this research, 39 AIM-InDel profiles of 203 unrelated Miao individuals and 203 unrelated Hani individuals in Yunnan province of China were acquired. Additionally, we evaluated the genetic polymorphisms of 39 InDel loci in Yunnan Miao and Hani groups. Moreover, the genetic relationships among Yunnan Miao, Hani and reference populations were also clarified based on Nei's genetic distances, pairwise fixation indexes, principal component analyses, phylogenetic analyses, and STRUCTURE analyses. RESULTS Genetic diversity analyses demonstrated that these InDel loci showed varying degrees of genetic polymorphisms, and could be utilized in forensic identifications in Yunnan Miao and Hani groups. The results of principal component analyses, phylogenetic analyses and Structure analyses revealed that Yunnan Miao and Hani groups had closer genetic relationships with East Asian populations, especially with the populations from Southern China. This research enriched the genetic data of Chinese ethnic minority, and provided ancestral information of Yunnan Miao and Hani groups from the perspective of population genetics.
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Affiliation(s)
- Wei Cui
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Yating Fang
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Man Chen
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Ming Zhao
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Qiong Lan
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Chunmei Shen
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Bofeng Zhu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China.
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710004, China.
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Yang M, Yang X, Ren Z, He G, Zhang H, Wang Q, Liu Y, Zhang H, Ji J, Chen J, Guo J, Huang J, Wang CC. Genetic Admixture History and Forensic Characteristics of Guizhou Sui People Inferred From Autosomal Insertion/Deletion and Genome-Wide Single-Nucleotide Polymorphisms. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.844761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Insertion-deletion (Indel) serves as one of the important markers in forensic personal identification and parentage testing, especially for cases with degraded samples. However, the genetic diversity and forensic features in ethnolinguistically diverse southwestern Chinese populations remain to be explored. Sui, one Tai-Kadai-speaking population residing in Guizhou, has a complex genetic history based on linguistic, historic, and anthropological evidence. In this study, we genotyped 30 Indels from 511 Guizhou Sui individuals and obtained approximately 700,000 genome-wide single-nucleotide polymorphisms (SNPs) in 15 representative Sui individuals to comprehensively characterize the genetic diversity, forensic characteristics, and genomic landscape of Guizhou Sui people. The estimated forensic statistically allele frequency spectrum and parameters demonstrated that this Indels panel was polymorphic and informative in Tai-Kadai populations in southern China. Results of principal component analysis (PCA), STRUCTURE, and phylogenetic trees showed that Guizhou Sui had a close genetic relationship with geographically close Tai-Kadai and Hmong-Mien people. Furthermore, genomic analysis based on the Fst and f4-statistics further suggested the genetic affinity within southern Chinese Tai-Kadai-speaking populations and a close relationship with geographically adjoining Guizhou populations. Admixture models based on the ADMIXTURE, f4, three-way qpAdm, and ALDER results demonstrated the interaction between the common ancestor for Tai-Kadai/Austronesian, Hmong-Mien, and Austroasiatic speaking populations played a significant role in the formation of modern Tai-Kadai people. We observed a sex-biased influence in Sui people by finding that the dominant Y chromosomal type was a Hmong-Mien specific lineage O2a2a1a2a1a2-N5 but the mtDNA lineages were commonly found in Tai-Kadai populations. The additional southward expansion of millet farmers in the Yellow River Basin has impacted the gene pool of southern populations including Tai-Kadai. The whole-genome sequencing in the future will shed more light on the finer genetic profile of Guizhou populations.
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11
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Chen J, He G, Ren Z, Wang Q, Liu Y, Zhang H, Yang M, Zhang H, Ji J, Zhao J, Guo J, Chen J, Zhu K, Yang X, Wang R, Ma H, Tao L, Liu Y, Shen Q, Yang W, Wang CC, Huang J. Fine-Scale Population Admixture Landscape of Tai–Kadai-Speaking Maonan in Southwest China Inferred From Genome-Wide SNP Data. Front Genet 2022; 13:815285. [PMID: 35251126 PMCID: PMC8891617 DOI: 10.3389/fgene.2022.815285] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 01/27/2022] [Indexed: 12/27/2022] Open
Abstract
Guizhou Province harbors extensive ethnolinguistic and cultural diversity with Sino-Tibetan-, Hmong–Mien-, and Tai–Kadai-speaking populations. However, previous genetic analyses mainly focused on the genetic admixture history of the former two linguistic groups. The admixture history of Tai–Kadai-speaking populations in Guizhou needed to be characterized further. Thus, we genotyped genome-wide SNP data from 41 Tai–Kadai-speaking Maonan people and made a comprehensive population genetic analysis to explore their genetic origin and admixture history based on the pattern of the sharing alleles and haplotypes. We found a genetic affinity among geographically different Tai–Kadai-speaking populations, especially for Guizhou Maonan people and reference Maonan from Guangxi. Furthermore, formal tests based on the f3/f4-statistics further identified an adjacent connection between Maonan and geographically adjacent Hmong–Mien and Sino-Tibetan people, which was consistent with their historically documented shared material culture (Zhang et al., iScience, 2020, 23, 101032). Fitted qpAdm-based two-way admixture models with ancestral sources from northern and southern East Asians demonstrated that Maonan people were an admixed population with primary ancestry related to Guangxi historical people and a minor proportion of ancestry from Northeast Asians, consistent with their linguistically supported southern China origin. Here, we presented the landscape of genetic structure and diversity of Maonan people and a simple demographic model for their evolutionary process. Further whole-genome-sequence–based projects can be presented with more detailed information about the population history and adaptative history of the Guizhou Maonan people.
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Affiliation(s)
- Jing Chen
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Guanglin He
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
- Institute Of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Han Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jingyan Ji
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jing Zhao
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Jianxin Guo
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Jinwen Chen
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Kongyang Zhu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Xiaomin Yang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Rui Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Hao Ma
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Le Tao
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Yilan Liu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Qu Shen
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Wenjiao Yang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
- *Correspondence: Chuan-Chao Wang, ; Jiang Huang,
| | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
- *Correspondence: Chuan-Chao Wang, ; Jiang Huang,
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12
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Liu Y, Xie J, Wang M, Liu C, Zhu J, Zou X, Li W, Wang L, Leng C, Xu Q, Yeh HY, Wang CC, Wen X, Liu C, He G. Genomic Insights Into the Population History and Biological Adaptation of Southwestern Chinese Hmong-Mien People. Front Genet 2022; 12:815160. [PMID: 35047024 PMCID: PMC8762323 DOI: 10.3389/fgene.2021.815160] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 12/03/2021] [Indexed: 01/19/2023] Open
Abstract
Hmong-Mien (HM) -speaking populations, widely distributed in South China, the north of Thailand, Laos, and Vietnam, have experienced different settlement environments, dietary habits, and pathogenic exposure. However, their specific biological adaptation remained largely uncharacterized, which is important in the population evolutionary genetics and Trans-Omics for regional Precision Medicine. Besides, the origin and genetic diversity of HM people and their phylogenetic relationship with surrounding modern and ancient populations are also unknown. Here, we reported genome-wide SNPs in 52 representative Miao people and combined them with 144 HM people from 13 geographically representative populations to characterize the full genetic admixture and adaptive landscape of HM speakers. We found that obvious genetic substructures existed in geographically different HM populations; one localized in the HM clines, and others possessed affinity with Han Chinese. We also identified one new ancestral lineage specifically existed in HM people, which spatially distributed from Sichuan and Guizhou in the north to Thailand in the south. The sharing patterns of the newly identified homogenous ancestry component combined the estimated admixture times via the decay of linkage disequilibrium and haplotype sharing in GLOBETROTTER suggested that the modern HM-speaking populations originated from Southwest China and migrated southward in the historic period, which is consistent with the reconstructed phenomena of linguistic and archeological documents. Additionally, we identified specific adaptive signatures associated with several important human nervous system biological functions. Our pilot work emphasized the importance of anthropologically informed sampling and deeply genetic structure reconstruction via whole-genome sequencing in the next step in the deep Chinese Population Genomic Diversity Project (CPGDP), especially in the regions with rich ethnolinguistic diversity.
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Affiliation(s)
- Yan Liu
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, China.,Medical Imaging Key Laboratory of Sichuan Province, North Sichuan Medical College, Nanchong, China
| | - Jie Xie
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, China
| | - Mengge Wang
- Guangzhou Forensic Science Institute, Guangzhou, China.,Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Changhui Liu
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Jingrong Zhu
- Department of Anthropology and Ethnology, Xiamen University, Xiamen, China
| | - Xing Zou
- College of Medicine, Chongqing University, Chongqing, China
| | - Wenshan Li
- College of Medical Imaging, North Sichuan Medical College, Nanchong, China
| | - Lin Wang
- College of Clinical Medicine, North Sichuan Medical College, Nanchong, China
| | - Cuo Leng
- College of Medical Imaging, North Sichuan Medical College, Nanchong, China
| | - Quyi Xu
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Hui-Yuan Yeh
- School of Humanities, Nanyang Technological University, Singapore, Singapore
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China.,Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Xiaohong Wen
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, China
| | - Chao Liu
- Guangzhou Forensic Science Institute, Guangzhou, China.,Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Guanglin He
- School of Humanities, Nanyang Technological University, Singapore, Singapore.,State Key Laboratory of Cellular Stress Biology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China.,Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
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13
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Fan H, He Y, Li S, Xie Q, Wang F, Du Z, Fang Y, Qiu P, Zhu B. Systematic Evaluation of a Novel 6-dye Direct and Multiplex PCR-CE-Based InDel Typing System for Forensic Purposes. Front Genet 2022; 12:744645. [PMID: 35082827 PMCID: PMC8784372 DOI: 10.3389/fgene.2021.744645] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 10/29/2021] [Indexed: 12/16/2022] Open
Abstract
Insertion/deletion (InDel) polymorphisms, combined desirable characteristics of both short tandem repeats (STRs) and single nucleotide polymorphisms (SNPs), are considerable potential in the fields of forensic practices and population genetics. However, most commercial InDel kits designed based on non-Asians limited extensive forensic applications in East Asian (EAS) populations. Recently, a novel 6-dye direct and multiplex PCR-CE-based typing system was designed on the basis of genome-wide EAS population data, which could amplify 60 molecular genetic markers, consisting of 57 autosomal InDels (A-InDels), 2 Y-chromosomal InDels (Y-InDels), and Amelogenin in a single PCR reaction and detect by capillary electrophoresis, simultaneously. In the present study, the DNA profiles of 279 unrelated individuals from the Hainan Li group were generated by the novel typing system. In addition, we collected two A-InDel sets to evaluate the forensic performances of the novel system in the 1,000 Genomes Project (1KG) populations and Hainan Li group. For the Universal A-InDel set (UAIS, containing 44 A-InDels) the cumulative power of discrimination (CPD) ranged from 1-1.03 × 10-14 to 1-1.27 × 10-18, and the cumulative power of exclusion (CPE) varied from 0.993634 to 0.999908 in the 1KG populations. For the East Asia-based A-InDel set (EAIS, containing 57 A-InDels) the CPD spanned from 1-1.32 × 10-23 to 1-9.42 × 10-24, and the CPE ranged from 0.999965 to 0.999997. In the Hainan Li group, the average heterozygote (He) was 0.4666 (0.2366-0.5448), and the polymorphism information content (PIC) spanned from 0.2116 to 0.3750 (mean PIC: 0.3563 ± 0.0291). In total, the CPD and CPE of 57 A-InDels were 1-1.32 × 10-23 and 0.999965, respectively. Consequently, the novel 6-dye direct and multiplex PCR-CE-based typing system could be considered as the reliable and robust tool for human identification and intercontinental population differentiation, and supplied additional information for kinship analysis in the 1KG populations and Hainan Li group.
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Affiliation(s)
- Haoliang Fan
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
- School of Basic Medicine and Life Science, Hainan Medical University, Haikou, China
| | - Yitong He
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Shuanglin Li
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Qiqian Xie
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Fenfen Wang
- First Clinical Medical College, Hainan Medical University, Haikou, China
| | - Zhengming Du
- First Clinical Medical College, Hainan Medical University, Haikou, China
| | - Yating Fang
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Pingming Qiu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Bofeng Zhu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
- Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
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14
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Luo T, Wang R, Wang CC. Inferring the population structure and admixture history of three Hmong-Mien-speaking Miao tribes from southwest China based on Genome-wide SNP genotyping. Ann Hum Biol 2021; 48:418-429. [PMID: 34763584 DOI: 10.1080/03014460.2021.2005825] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Hmong-Mien speaking Miao, also called Hmong, is the sixthlargest ethnic group in mainland China. However, the fine-scale genetic profiles and population history of Miao populations in southwest China, especially in Guizhou province, remain uncharacterised due to a scarcity of samples of genome-wide data from different tribes. AIM To further investigate the population substructure and admixture history of the Guizhou Miao minority. SUBJECTS AND METHODS We collected 29 samples from three Miao tribes of Guizhou province in southwest China and genotyped about 700,000 genome-wide SNPs of each sample. We analysed newly generated data in together with published modern/ancient East Asian populations datasets via a series of population genetic methods, including principal component analysis (PCA), ADMIXTURE, Fst, TreeMix, f-statistics, qpWave, and qpAdm. RESULTS PCA and ADMIXTURE results showed that the three studied Guizhou Miao groups consistently fell on the Hmong-Mien-related genetic cline and were relatively genetically homogeneous, displayingd a genetic affinity with neighbouring Tai-Kadai speaking populations such as Dong. These results were further confirmed by the observed genetic clade in Fst, TreeMix, outgroup-f3 -statistics, and f4 -statistics. Furthermore, f4 -based allele sharing patterns illustrated that compared with Hunan Miao in central China, Guizhou Miao shared more alleles with Hmong-Mien-speaking Vietnam Hmong and Tai-Kadai-speaking CoLao, Dong, while exhibiting less northeast Asian-related ancestry. Admixture-f3 and f4 statistics revealed the North-South admixture pattern for the studied Guizhou Miao. A qpAdm-based two-way admixture model further revealed that the studied Guizhou Miao harboured 44%∼55.4% indigenous Austronesian-speaking Atayal-related ancestry and 44.6%∼56% Late Neolithic Yellow River farmer-related ancestry. CONCLUSIONS The population structure within Hmong-Mien-related populations showed a geographic correlation. Hmong-Mien speaking Hunan Miao, Guizhou Miao, and Vietnam Hmong presented closer genetic relationships although they dwelt in different regions, suggesting the preservation of the original Hmong-related genetic diversity. The results based on genome-wide SNPs data generally matched the migration history for the Miao population. Our study contributes to a better knowledge of Miao populations and the population structure in southwest China.
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Affiliation(s)
- Ting Luo
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China
| | - Rui Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Chuan-Chao Wang
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen, China.,State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
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15
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Luo L, Gao H, Yao L, Long F, Zhang H, Zhang L, Liu Y, Yu J, Yu L, Chen P. Genetic diversity, forensic feature, and phylogenetic analysis of Guizhou Tujia population via 19 X-STRs. Mol Genet Genomic Med 2020; 8:e1473. [PMID: 32881358 PMCID: PMC7667307 DOI: 10.1002/mgg3.1473] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 07/21/2020] [Accepted: 08/04/2020] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND X-chromosome short tandem repeats (X-STRs) with unique sex-linkage inheritance models play a complementary role in forensic science. Guizhou is a multiethnic province located in southwest China and some genetic evidence focusing on X-STRs for various minorities was reported. However, population data of Guizhou Tujia are scarce. METHODS A total of 507 Guizhou Tujia individuals were profiled using the AGCU X-19 STR kit. Allele frequencies and forensic parameters were calculated. Additionally, population genetic relationships between Guizhou Tujia and other 19 populations were explored. RESULTS A total of 257 alleles with the allele frequencies ranged from 0.0013 to 0.6098 were found. The combined power of discrimination in males and females and mean exclusion chances in all case scenarios were all greater than 0.99999. Population comparisons showed Guizhou Tujia had a homogeneity with all Han populations from different administrative regions, and other ethnic populations residing in Guizhou, while had obviously genetic heterogeneity with the Altaic family populations except Xibe. CONCLUSION Nineteen X-STRs can afford a reliable and informative database of Guizhou Tujia population for human identification and paternity testing, especially in complex biological relations. The genetic relationships of Chinese are significantly influenced by the geographic position and ethnolinguistic origin.
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Affiliation(s)
- Li Luo
- Key Laboratory of Cell Engineering in Guizhou ProvinceAffiliated Hospital of Zunyi Medical UniversityZunyiChina
- Center of Forensic ExpertiseAffiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
- Shanghai Key Laboratory of Forensic MedicineShanghai Forensic Service PlatformAcademy of Forensic ScienceShanghaiChina
| | - Hongyan Gao
- Key Laboratory of Cell Engineering in Guizhou ProvinceAffiliated Hospital of Zunyi Medical UniversityZunyiChina
- Center of Forensic ExpertiseAffiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| | - Lilan Yao
- Key Laboratory of Cell Engineering in Guizhou ProvinceAffiliated Hospital of Zunyi Medical UniversityZunyiChina
- Center of Forensic ExpertiseAffiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| | - Fei Long
- Department of Forensic Biology EvidenceZunyi City Public Security BureauZunyiGuizhouChina
| | - Hao Zhang
- Key Laboratory of Cell Engineering in Guizhou ProvinceAffiliated Hospital of Zunyi Medical UniversityZunyiChina
- Center of Forensic ExpertiseAffiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| | - Lushun Zhang
- Department of Pathology and PathophysiologyChengdu Medical CollegeChengduChina
| | - Yong Liu
- Center of Forensic ExpertiseAffiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| | - Jian Yu
- Center of Forensic ExpertiseAffiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| | - Limei Yu
- Key Laboratory of Cell Engineering in Guizhou ProvinceAffiliated Hospital of Zunyi Medical UniversityZunyiChina
| | - Pengyu Chen
- Key Laboratory of Cell Engineering in Guizhou ProvinceAffiliated Hospital of Zunyi Medical UniversityZunyiChina
- Center of Forensic ExpertiseAffiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
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16
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Lu J, Zhang H, Ren Z, Wang Q, Liu Y, Li Y, He G, Guo J, Zhao J, Hu R, Wei LH, Chen G, Huang J, Wang CC. Genome-wide analysis of unrecognised ethnic group Chuanqing people revealing a close affinity with Southern Han Chinese. Ann Hum Biol 2020; 47:465-471. [PMID: 32543893 DOI: 10.1080/03014460.2020.1782470] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
BACKGROUND Chuanqing is an unrecognised ethnic group in Guizhou, southwest China. The genetic history of the Chuanqing people is hotly debated due to a lack of available genetic data. AIM To infer the genetic structure and population history of the Chuanqing people and genetic relationships of the Chuanqing with other East Asians. SUBJECTS AND METHODS We collected samples from 14 Chuanqing individuals from Guizhou and genotyped about 690,000 genome-wide single nucleotide polymorphisms (SNPs). We used Principal Component Analysis (PCA), ADMIXTURE analysis, and f statistics to infer the population genetic structure and admixture. RESULTS Chuanqing people show a distinct genetic profile from indigenous Tai-Kadai and Tibeto-Burman speaking populations in southwest China, but they are genetically similar to southern Han Chinese, Miao, She and Tujia populations. The Han Chinese characteristic Y chromosomal lineages reach high frequencies in the Chuanqing. CONCLUSIONS The genetic formation of the Chuanqing people has been greatly influenced by Han Chinese related populations.
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Affiliation(s)
- Jiani Lu
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Yingxiang Li
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Guanglin He
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Jianxin Guo
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Jing Zhao
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Rong Hu
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Lan-Hai Wei
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | | | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Chuan-Chao Wang
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
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17
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Fan GY, An YR, Zhou YJ, Liu MN, Xiang J, Ye Y. Phylogenic analysis and forensic genetic characterization of Guizhou Miao tribes from 58 microareas via autosomal STR. Leg Med (Tokyo) 2020; 47:101737. [PMID: 32580111 DOI: 10.1016/j.legalmed.2020.101737] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 05/04/2020] [Accepted: 06/12/2020] [Indexed: 02/05/2023]
Abstract
Genetic polymorphism of 17 autosomal short tandem repeat (STR) loci, included in the PowerPlex®18D amplification kit, were analyzed in Miao tribes from 58 different sampling microareas (N = 5255) of Guizhou as well as two cities (N = 151) of Hunan, China. Allele frequencies and forensic efficiency parameters were calculated. Moreover, comprehensive population genetic comparisons among 91 nationwide populations and 174 Asian populations were conducted based on raw genotype data and allele frequency data, respectively. Our results of forensic efficiency parameters showed that the panel was a robust tool in forensic individual identification and paternity cases for this population. Genetic affinities were observed among most of the Miao tribes revealed by multidimensional scaling plot, principal component analysis, and neighboring-joining tree. The genetic distance between Miao tribes and Han nationalities were varies by different geographical positions. Some of the Miao tribes were genetically closer to the Hmong-Mien populations living in southeastern contiguous regions and even the Indochina. The result coincided with the migration or reverse migration routes for Miao nationality in modern history. This study of the Miao tribes from plenty of microareas in Guizhou would be useful in reconstructing the population history and establishing a more comprehensive forensic reference database.
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Affiliation(s)
- Guang-Yao Fan
- Forensic Center, College of Medicine, Shaoxing University, Shaoxing 312000, China
| | - Yu-Ran An
- Criminal Technology Department, Liupanshui Public Security Bureau, Guizhou 553000, China
| | - Yi-Jun Zhou
- College of Medicine, Shaoxing University, Shaoxing 312000, China
| | - Meng-Nan Liu
- College of Medicine, Shaoxing University, Shaoxing 312000, China
| | - Jin Xiang
- GCP Center, West China Hospital of Sichuan University, Chengdu 610000, Sichuan, China
| | - Yi Ye
- West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610000, Sichuan, China.
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18
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Song F, Lang M, Li L, Luo H, Hou Y. Forensic features and genetic background exploration of a new 47-autosomal InDel panel in five representative Han populations residing in Northern China. Mol Genet Genomic Med 2020; 8:e1224. [PMID: 32396282 PMCID: PMC7216812 DOI: 10.1002/mgg3.1224] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 02/04/2020] [Accepted: 02/24/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Insertion/deletion (InDel) analysis plays an indispensable role in human identification, population genetics, and biogeographic research. Profiles of individuals in forensic applications worldwide based on a set of autosomal InDel loci (A-InDels) in human genomes have been widely used over the past few years. METHODS The new AGCU InDel 50 Kit contains 47 well-chosen A-InDels, ensuring high discriminatory power, and the 2 Y chromosome InDel loci (Y-InDels) are used for sex determination in case of allele dropout at Amelogenin. In this study, five Northern Han populations residing in different geographic areas of China were recruited and genotyped using the assay. RESULTS After Bonferroni correction, all 47 A-InDels were in accordance with the lack of significant departures of Hardy-Weinberg equilibrium in all loci and investigated groups. The combined probability of discrimination and the probability of exclusion in the Han population range from 1-3.2240 × 10-19 to 1-1.3030 × 10-19 and 0.9997, respectively. A comprehensive population genetic relationship investigation between Han Chinese and 26 worldwide populations based on allele frequency correlation was carried out. Our results revealed no significant genetic differentiation in Chinese Han groups. Hierarchical clustering, phylogenetic relationship reconstructions, multidimensional scaling, principal component analysis, and structure analysis were performed, and the results indicated that, genetically, Han populations are closely related to East Asians. CONCLUSION Overall, this novel 47 A-InDel assay is a valuable tool that could potentially be used for forensic identification and parentage tests.
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Affiliation(s)
- Feng Song
- Institute of Forensic MedicineWest China School of Basic Medical Sciences and Forensic MedicineSichuan UniversityChengduChina
| | - Min Lang
- Institute of Forensic MedicineWest China School of Basic Medical Sciences and Forensic MedicineSichuan UniversityChengduChina
| | - Luyao Li
- Department of PathologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiChina
| | - Haibo Luo
- Institute of Forensic MedicineWest China School of Basic Medical Sciences and Forensic MedicineSichuan UniversityChengduChina
| | - Yiping Hou
- Institute of Forensic MedicineWest China School of Basic Medical Sciences and Forensic MedicineSichuan UniversityChengduChina
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19
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Liu Y, Zhang H, He G, Ren Z, Zhang H, Wang Q, Ji J, Yang M, Guo J, Yang X, Sun J, Ba J, Peng D, Hu R, Wei LH, Wang CC, Huang J. Forensic Features and Population Genetic Structure of Dong, Yi, Han, and Chuanqing Human Populations in Southwest China Inferred From Insertion/Deletion Markers. Front Genet 2020; 11:360. [PMID: 32425974 PMCID: PMC7205039 DOI: 10.3389/fgene.2020.00360] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 03/24/2020] [Indexed: 12/20/2022] Open
Abstract
Guizhou province in southwest China has abundant genetic and cultural diversities, but the forensic features and genetic structure of Guizhou populations remain poorly understood due to the sparse sampling of present-day populations. Here, we present 30 insertion/deletion polymorphisms (InDels) data of 591 human individuals collected from four populations, Dong, Yi, Han, and Chuanqing residing in Guizhou. We calculated the forensic parameters of 30 InDel loci and found that this panel meets the efficiency of forensic personal identification based on the high combined power of discrimination, but it could only be used as a complementary tool in the parentage testing because of the lower combined probability of exclusion values. The studied populations are genetically closer related to geographically adjacent or linguistically related populations in southern China, such as the Tai-Kadai and Hmong-Mien speaking groups. The unrecognized ethnic Chuanqing people show an additional genetic affinity with Han Chinese, highlighting the role of possible military immigrations in their origin.
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Affiliation(s)
- Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Han Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Guanglin He
- 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, China.,Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jingyan Ji
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jianxin Guo
- 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, China
| | - Xiaomin Yang
- 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, China
| | - Jin Sun
- 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, China
| | - Jinxing Ba
- 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, China
| | - Dan Peng
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Rong Hu
- 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, China
| | - Lan-Hai Wei
- 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, China
| | - Chuan-Chao Wang
- 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, China
| | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
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20
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Michalak E, Abreu-Głowacka M, Konarzewska M, Pepiński W, Skawrońska M, Wójcik M, Sołtyszewski I, Żaba C. Population genetics of 30 insertion-deletion polymorphism in polish Populations. FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES 2019. [DOI: 10.1016/j.fsigss.2019.09.074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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