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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: 3.0] [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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Ran P, Ou S, Hadi S, Safhi FA, Al-Qahtani WS, Xuan JF, Adnan A, Pei B. Genetic characteristics and forensic features of Xibe ethnic group revealed via extended set of Y-STRs. Ann Hum Biol 2022; 49:204-209. [PMID: 35815603 DOI: 10.1080/03014460.2022.2100478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
BACKGROUND Xibe is the fifth largest minority population of Liaoning province. Predominately they live in Liaoning province (69.52%), followed by Xinjiang (18.06%), Heilongjiang (3.99%), Jilin (1.63%) and Inner Mongolia provinces (1.57%). AIM To provide an updated and precise population database on an extended set of Y STRs not available before and explore the forensic characteristics of 26 Y chromosomal STRs. SUBJECTS & METHODS In this study, we genotyped 406 unrelated Xibe male individuals from Liaoning province using Goldeneye® 26Y System kit and calculated the forensic parameters of these 26 Y STRs loci. RESULTS All haplotypes generated for 406 Xibe samples using Goldeneye® 26Y kit were unique with a discrimination capacity (DC) of 1. On restricting the haplotypes to the Y-filer® set of 17 Y-STRs, we observed 392 haplotypes. Among them 93.53% (380) were unique with a DC of 0.9655 and haplotype diversity (HD) of 0.9998, showing high discrimination power of the extended set of markers in this population. Allelic frequencies ranged from 0.0024 to 0.7684 across 26 Y STRs loci. DYS385 showed the highest gene diversity (0.9691) among all markers. CONCLUSION According to pairwise RST genetic distances among Xibe populations from China, the Liaoning Xibe population showed the closest genetic distance (0.0035) followed by Xinjiang Xibe population (0.0218). Multidimensional scaling (MDS) analysis among Xibe and 29 other Chinese populations showed that local populations such as Manchu from Liaoning and Han from Beijing had a close affinity while Tibetans from Aba, China, were most distant from Xibe populations. Moreover, 12 individuals showed a null allele at DYS448 in Xibe population samples. We submitted Y-STRs data in the Y-Chromosome Haplotype Reference Database (YHRD) for future forensic and other usage.
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Affiliation(s)
- Peng Ran
- Xiamen Blood Center, Xiamen, Fujian province 361004, P.R. China
| | - Shanhai Ou
- Xiamen Blood Center, Xiamen, Fujian province 361004, P.R. China
| | - Sibte Hadi
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh, 11452, Kingdom of Saudi Arabia
| | - Fatmah Ahmed Safhi
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
| | - Wedad Saeed Al-Qahtani
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh, 11452, Kingdom of Saudi Arabia
| | - Jin-Feng Xuan
- Department of Forensic Genetics, School of Forensic Medicine, China Medical University, Shenyang, Liaoning, P.R. China
| | - Atif Adnan
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh, 11452, Kingdom of Saudi Arabia
| | - Bin Pei
- Xiamen Blood Center, Xiamen, Fujian province 361004, P.R. China
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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: 5] [Impact Index Per Article: 2.5] [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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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: 6] [Impact Index Per Article: 2.0] [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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5
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Fu J, Fu S, Yin S, Cheng J, Liu X, Jin Z, He T, Fu J. Technical note: multi-alleles at the DYS385ab locus with high frequency in a Han Chinese population from southwestern China. Int J Legal Med 2021; 135:1737-1741. [PMID: 33844081 DOI: 10.1007/s00414-021-02592-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 03/26/2021] [Indexed: 10/21/2022]
Abstract
Y-chromosome short tandem repeat (Y-STR) markers have been widely used in forensic applications and usually show monoallelic or diallelic genotypic patterns at certain double-copied loci. In this study, we have found 13 samples among 703 males with multi-alleles at the DYS385ab locus, including one with five mutant alleles, nine with four, and three with three. The frequency of abnormal DYS385ab genotypes was 1.85% (13/703), which is very high in the Han Chinese population. The percentage of samples with diallelic patterns at DYS385ab was higher than that of monoallelic patterns (80.23% vs. 17.92%). Additionally, the percentage of samples with tetra-allelic patterns at DYS385ab was higher than that of tri-allelic patterns (1.28% vs. 0.43%), suggesting that there are possibly two copies with duplicated events happening frequently on the Y chromosome. Interestingly, the peak height of allele 13 was two to three-folds higher than that of other alleles. The allele 18 peak height was also two-fold higher than others, which could potentially be explained by a duplication event mechanism. We also found that tri-allelic genotypes for alleles 13, 17, and 20, tetra-allelic genotypes for alleles 13, 14, 19, and 20, and tetra-allelic genotypes for alleles 12, 13, 19 and 21 were more common than others. Furthermore, all 13 samples had multi-alleles containing allele 13, implying a founder effect in this particular Chinese-specific ethnic group. Taken together, this study provides new information for this population and will be useful for paternal lineage identification, kinship analysis, and family relationship reconstruction using Y-STR forensic DNA analysis methods.
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Affiliation(s)
- Jiewen Fu
- Laboratory of Forensic DNA, the Judicial Authentication Center, Southwest Medical University, Luzhou, 646000, Sichuan, China.,Key Laboratory of Epigenetics and Oncology, the Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Shangyi Fu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA.,School of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Shiqiang Yin
- Judicial Authentication Institute, Luzhou Public Security Bureau, Luzhou, 646000, Sichuan, China
| | - Jingliang Cheng
- Laboratory of Forensic DNA, the Judicial Authentication Center, Southwest Medical University, Luzhou, 646000, Sichuan, China.,Key Laboratory of Epigenetics and Oncology, the Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Xiaoyan Liu
- Key Laboratory of Epigenetics and Oncology, the Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Zeming Jin
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China.
| | - Tao He
- Laboratory of Forensic DNA, the Judicial Authentication Center, Southwest Medical University, Luzhou, 646000, Sichuan, China. .,Key Laboratory of Epigenetics and Oncology, the Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China.
| | - Junjiang Fu
- Laboratory of Forensic DNA, the Judicial Authentication Center, Southwest Medical University, Luzhou, 646000, Sichuan, China. .,Key Laboratory of Epigenetics and Oncology, the Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China.
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6
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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: 1.0] [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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7
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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: 0.8] [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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Dang Z, Liu Q, Zhang G, Li S, Wang D, Pang Q, Yang D, Li C, Cui W, Wang Y. Population genetic data from 23 autosomal STR loci of Huaxia Platinum system in the Jining Han population. Mol Genet Genomic Med 2020; 8:e1142. [PMID: 31997573 PMCID: PMC7196486 DOI: 10.1002/mgg3.1142] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 01/01/2020] [Accepted: 01/03/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Genetic polymorphisms at 23 short tandem repeat (STR) loci were investigated in 1,215 Jining Han individuals from Jining city, Shandong province, eastern China. METHODS We used population genetic data of 23 autosomal STR loci included in the Huaxia Platinum system to evaluate 1,215 unrelated Chinese Han individuals in the Jining Han population. Allele frequencies and forensic parameters of the STR loci were determined and genetic relationships among the Jining Han and other Chinese populations were evaluated. RESULTS In total, we observed 321 alleles, with frequencies ranging from 0.00041 to 0.52222. The combined discrimination power and probability of excluding paternity were 0.99999999999999999999999999919 and 0.99999999962, respectively. No deviations from HWE were observed at any loci. Population comparisons showed that the Xinjiang groups (Uyghur and Kazakh) and the Mongolian and Tibetan groups were isolated, while the Jining Han population clustered together with other populations, except the Guizhou Han population. CONCLUSION This study demonstrated that 23 autosomal STR loci included in the Huaxia Platinum system are highly polymorphic and suitable for personal forensic identification and paternity testing in this population.
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Affiliation(s)
- Zhen Dang
- Institute of Forensic Medicine and Laboratory MedicineJining Medical UniversityJiningShandongPR China
| | - Qi Liu
- Institute of Forensic Medicine and Laboratory MedicineJining Medical UniversityJiningShandongPR China
- Forensic Science Center of Jining Medical UniversityJiningShandongPR China
| | - Guoan Zhang
- Institute of Forensic Medicine and Laboratory MedicineJining Medical UniversityJiningShandongPR China
- Forensic Science Center of Jining Medical UniversityJiningShandongPR China
| | - Shuyue Li
- Forensic Science Center of Jining Medical UniversityJiningShandongPR China
| | - Dan Wang
- Institute of Forensic Medicine and Laboratory MedicineJining Medical UniversityJiningShandongPR China
- Forensic Science Center of Jining Medical UniversityJiningShandongPR China
| | - Qianqian Pang
- Institute of Forensic Medicine and Laboratory MedicineJining Medical UniversityJiningShandongPR China
- Forensic Science Center of Jining Medical UniversityJiningShandongPR China
| | - Da Yang
- Institute of Forensic Medicine and Laboratory MedicineJining Medical UniversityJiningShandongPR China
- Forensic Science Center of Jining Medical UniversityJiningShandongPR China
| | - Changzheng Li
- Institute of Forensic Medicine and Laboratory MedicineJining Medical UniversityJiningShandongPR China
- Forensic Science Center of Jining Medical UniversityJiningShandongPR China
| | - Wen Cui
- Institute of Forensic Medicine and Laboratory MedicineJining Medical UniversityJiningShandongPR China
- Forensic Science Center of Jining Medical UniversityJiningShandongPR China
| | - Yequan Wang
- Institute of Forensic Medicine and Laboratory MedicineJining Medical UniversityJiningShandongPR China
- Forensic Science Center of Jining Medical UniversityJiningShandongPR China
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