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Wang Z, Song M, Lyu Q, Ying J, Wu Q, Song F, Jiang L, Wei X, Wang S, Wang F, Zhou Y, Song X, Luo H. A forensic population database of autosomal STR and X-STR markers in the Qiang ethnic minority of China. Heliyon 2023; 9:e21823. [PMID: 38034634 PMCID: PMC10685182 DOI: 10.1016/j.heliyon.2023.e21823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 10/28/2023] [Accepted: 10/30/2023] [Indexed: 12/02/2023] Open
Abstract
The Qiang ethnic group is one of the oldest ethnic groups in China and is the most active ethnic group among all the populations along the Tibetan-Yi corridor. They have had a profound impact nationally and internationally. The paternal and maternal genetic feature of the Qiang ethnic group has been revealed, leaving the question of the genetic characteristics from autosomes and X chromosome not answered. The aim of this study was to explore the potential of 36 A-STR (Microreader™ 36A ID System) and 19 X-STR (Microreader™ 19X System) for application in the Qiang population and to elucidate their genetic diversity in southwest China. The cumulative probability of exclusion (CPE) for autosomal STRs is 1-1.3814 × 10-15 and the mean paternity exclusion chance (MEC) for X-STRs is 1-1.7323 × 10-6. Forensic parameters suggest that the STRs analyzed here are well-suited for forensic applications. The results of phylogenetic, interpopulation differentiation, and principal coordinates analysis (PCoA) indicate that the Qiang people have extensive connections with ethnic minorities in China, supporting the view that the Qiang people are the oldest group in the entire Sino-Tibetan language family. The Qiang appeared genetically more associated with most ethnic groups in China, especially the Han. The calculation of random matching probability (RMP) was improved by Fst correction of allele frequencies to make RMP more accurate and reasonable. This study can fill in the gaps in the Qiang STR reference database, providing valuable frequency data for forensic applications and evidence for the Qiang's genetic pattern as an important ancestral position in the Sino-Tibetan populations.
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Affiliation(s)
- Zefei Wang
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Mengyuan Song
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Qiang Lyu
- Department of Clinical Laboratory, People's Hospital of Beichuan Qiang Autonomous County, Beichuan, 622750, China
| | - Jun Ying
- Department of Clinical Laboratory, Santai People's Hospital, Santai, 621100, China
| | - Qian Wu
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Feng Song
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Lanrui Jiang
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Xiaowen Wei
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Shuangshuang Wang
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Fei Wang
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Yuxiang Zhou
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Xingbo Song
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Haibo Luo
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
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Xiao C, Yang X, Yu Z, Wu W, Wang Y, Xu Q, Chen L. Genetic polymorphism and variability in the Guangdong Hakka, Teochew, and Cantonese groups: A comprehensive analysis of 19 X-STRs. Ann Hum Genet 2023; 87:232-240. [PMID: 37337755 DOI: 10.1111/ahg.12518] [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: 09/27/2022] [Revised: 05/24/2023] [Accepted: 05/25/2023] [Indexed: 06/21/2023]
Abstract
BACKGROUND X chromosomeshort tandem repeat (X-STR) loci are playing an increasingly important role inforensic work, identifying female traces in male contamination and explainingcomplex kinship analyses. METHODS In this study, we analyzed thegenetic polymorphism of 19 X-STR loci in the Guangdong Hakka, Teochew and Cantonese groups, respectively, aswell as in the Guangdong Hakka, Teochew andCantonese pooled Han. The genetic diversity and forensic characteristics of the19 X-STRs and 7 linkage groups were investigated, respectively. RESULTS The experiments showed that the genetic diversity (GD) and polymorphism information content (PIC) in the pooledGuangdong Han ranged from 0.5320 to 0.9234 and 0.4369 to 0.9171, respectively, and the cumulative power of discrimination for males (PDM), power of discrimination for females (PDF) and mean paternity exclusion chance (MEC) were higher than 0.9999999, indicating that the 19 X-STRs had high geneticpolymorphism and discriminatory power. Genetic differences among Chinese Hansubgroups and among different Chinese populations were investigated byphylogenetic reconstruction and principal component analysis (PCA), respectively. Genetic analyses based on neighbor-joining (NJ) tree and principal component analysis plot showed that Cantonese, Teochew and Hakka were closely genetically related, and different populations with closer linguistic components had more genetic affinity. CONCLUSIONS This study adds to the forensic X-STR database and demonstrates the forensic efficiency of 19 X-STRs for the Hakka, Teochewand Cantonese populations in Guangdong, and the pooled Han of Hakka, Teochewand Cantonese people in Guangdong.
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Affiliation(s)
- Cheng Xiao
- Guangzhou Red Cross Hospital, Guangzhou, China
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Xingyi Yang
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Zhonghao Yu
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Weibin Wu
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Yuan Wang
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Quyi Xu
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
- Guangzhou Forensic Science Institute, Guangzhou, China
| | - Ling Chen
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
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Fei Z, Pei R, Pan B, Ye S, Zhang R, Ma L, Wang Z, Li C, Du X, Cao H. Antibody Assay and Anti-Inflammatory Function Evaluation of Therapeutic Potential of Different Intravenous Immunoglobulins for Alzheimer's Disease. Int J Mol Sci 2023; 24:5549. [PMID: 36982622 PMCID: PMC10058273 DOI: 10.3390/ijms24065549] [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: 02/20/2023] [Revised: 03/09/2023] [Accepted: 03/12/2023] [Indexed: 03/15/2023] Open
Abstract
Alzheimer's disease (AD) is a common neurodegenerative disease that currently has no known cure. Intravenous immunoglobulin (IVIG), which contains AD-related antibodies and has anti-inflammatory properties, has shown potential as a treatment for AD. However, the efficacy of clinical trials involving AD patients treated with IVIG has been inconsistent. Our previous study found that different IVIGs had significantly varied therapeutic effects on 3xTg-AD mice. In order to investigate the relationship between the composition and function of IVIG and its efficacy in treating AD, we selected three IVIGs that showed notable differences in therapeutic effects. Then, the concentrations of specific antibodies against β-amyloid (Aβ)42, tau, and hyperphosphorylated tau (p-tau) in three IVIGs, as well as their effects on systemic inflammation induced by lipopolysaccharide (LPS) in Balb/c mice, were analyzed and compared in this study. The results indicated that these IVIGs differed greatly in anti-Aβ42/tau antibody concentration and anti-p-tau ratio, and improved LPS-stimulated peripheral inflammation, liver and kidney injury, and neuroinflammation in Balb/c mice to varying degrees. Combined with our previous results, the efficacy of IVIG against AD may be positively correlated with its level of AD-related antibodies and anti-inflammatory ability. AD-related antibody analysis and functional evaluation of IVIG should be given sufficient attention before clinical trials, as this may greatly affect the therapeutic effect of AD treatment.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Xi Du
- Institute of Blood Transfusion, Chinese Academy of Medical Sciences and Peking Union Medical College, Chengdu 610052, China; (Z.F.)
| | - Haijun Cao
- Institute of Blood Transfusion, Chinese Academy of Medical Sciences and Peking Union Medical College, Chengdu 610052, China; (Z.F.)
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Long F, Fang H, Zhang C, Chen S, Huang D, Xiao C. Genetic polymorphisms of 19 X-STRs in populations of Hubei Han and Guangxi Zhuang and their comparisons with 13 other Chinese populations. Ann Hum Biol 2023; 50:8-14. [PMID: 36636011 DOI: 10.1080/03014460.2023.2166990] [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: 01/14/2023]
Abstract
BACKGROUND A prerequisite for applying short tandem repeat (STR) kits is obtaining population allele and/or haplotype frequencies and forensic parameters. AIM Firstly, we aimed to investigate the population data of 19 X-chromosomal STRs (X-STRs) included in the AGCU X19 STR kit in the Han people residing in Hubei Province, Central China, and the Zhuang people residing in the Guangxi Zhuang Autonomous Region of South China. Furthermore, we compared these population data with those for other Chinese populations. SUBJECTS AND METHODS In total, 509 unrelated Han males and 266 unrelated Zhuang males were genotyped using the AGCU X19 STR kit. Allele frequencies, haplotype frequencies, and forensic parameters were computed, and genetic differences among 15 Chinese populations were analysed. RESULTS The 19 X-STRs showed a high power of discrimination and high mean chance of exclusion, whether calculated using allele or haplotype frequencies. Major differences were found between Han and Oroqen, Uyghur, Mongolian, Tibetan, Li, and Yi populations. Aberrant biallelic patterns at DXS10159, DXS10134, and DXS10079 and allelic dropouts at DXS10164 were observed. CONCLUSION The 19 X-STRs were highly polymorphic in the Hubei Han and Guangxi Zhuang populations, and the AGCU X19 STR kit was shown to be suitable for forensic casework.
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Affiliation(s)
- Fei Long
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hui Fang
- Department of Criminal Investigation, Wuhan Public Security Bureau, Wuhan, China
| | - Chunmei Zhang
- Department of Criminal Investigation, Wuhan Public Security Bureau, Wuhan, China
| | - Shengjie Chen
- Nanning Public Security Bureau Qingxiu Branch, Nanning, China
| | - Daixin Huang
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chao Xiao
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 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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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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Yang M, Jin X, Ren Z, Wang Q, Zhang H, Zhang H, Chen J, Ji J, Liu Y, Huang J. X-chromosomal STRs for genetic composition analysis of Guizhou Dong group and its phylogenetic relationships with other reference populations. Ann Hum Biol 2021; 48:621-626. [PMID: 34789047 DOI: 10.1080/03014460.2021.2008001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND X-chromosomes show a specific genetic mode, which makes genetic markers on the X chromosome play crucial roles in forensic research and human evolution. Dong group, one of 55 minority groups in China, live in Guizhou, Guangxi and Hunan provinces. Even though some genetic data of Y chromosomal short tandem repeats (STRs) and autosomal insertion/deletion polymorphism (InDels) in Dong groups have been reported, there is little research about X-STRs in the Dong group. AIM Purposes of this study are to investigate allelic distributions and forensic statistical parameters of 19 X-STRs in the Guizhou Dong group, and explore the genetic composition of the Guizhou Dong group and its phylogenetic relationships with other reference populations. SUBJECTS AND METHODS 507 Dongs (272 males and 235 females) living in Guizhou province were typed using the AGCU X19 STR kit. Allelic frequencies and forensic parameters of 19 X-STRs in the Guizhou Dong group were calculated. Population genetic analyses of Guizhou Dong and other 17 reference populations were conducted using DA genetic distances, phylogenetic tree, principal component analysis and multidimensional scaling. RESULTS A total of 230 alleles of 19 X-STRs were identified in all Dongs. The frequencies of 19 loci ranged from 0.0013 to 0.6838. Cumulative power of discrimination in males (PDM), Cumulative power of discrimination in females (PDF), four different kinds of mean exclusion chance (MEC_Kruger, MEC_Kishida, MEC_Desmarais and MEC_Desmarais_du) values of 19 X-STRs in all individuals were 0.999999999999761, 0.9999999999999999999993951, 0.999999964841617, 0.999999999997261, 0.999999999997297 and 0.999999993623172, respectively. Besides, genetic polymorphisms of seven linkage clusters ranged from 0.9381 to 0.9963. In addition, these seven groups showed high polymorphism information content (PIC), PDM, PDF, MEC_Kruger, MEC_Kishida, MEC_Desmarais and MEC_Desmarais_duo values. Population genetic analyses of Guizhou Dong and other 17 reference populations showed that the Guizhou Dong group had close genetic relationships with surrounding Tai-Kadai-speaking, Hmong-Mien-speaking and Han groups. CONCLUSION Nineteen X-STRs displayed high genetic diversities and could be employed for forensic personal identification and paternity analysis in the Guizhou Dong group. Close genetic affinities between Guizhou Dong and surrounding populations were observed based on the 19 X-STRs in 17 reference populations.
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Affiliation(s)
- Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Xiaoye Jin
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Han Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jing Chen
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jingyan Ji
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
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Liu L, Yuan J, Miao L, Huang R, Zhang X, Nie S, Hu L. Genetic polymorphisms of 16 X-STR loci analyzed in the Han population of Yunnan Province, Southwest China. Leg Med (Tokyo) 2021; 54:101974. [PMID: 34736140 DOI: 10.1016/j.legalmed.2021.101974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/27/2021] [Accepted: 10/01/2021] [Indexed: 10/20/2022]
Abstract
To investigate the genetic diversity and forensic identification efficiency of X-chromosomal short tandem repeats (X-STRs) in the Yunnan Han population, 16 X-STRs in 415 Yunnan Han individuals (247 males and 168 females) were studied. A total of 137 alleles were detected, and all loci in the Yunnan Han population were highly polymorphic. The combined discrimination of males (PDm) and females (PDf) was 0.9999997769115 and 0.999999999999999999996, respectively. Interpopulation comparisons between the Yunnan Han population and 21 other populations showed that the evolutionary relationships between different groups with the same ethnic group or nearby geographic origins were closer. This study provides the first data on X-STR genetic polymorphisms in the Yunnan Han population and enriches the X-STR database for the Chinese Han population.
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Affiliation(s)
- Linlin Liu
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Jiahui Yuan
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Lei Miao
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Renwu Huang
- Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Xiufeng Zhang
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China.
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China.
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China.
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Wang M, Yuan D, Zou X, Wang Z, Yeh HY, Liu J, Wei LH, Wang CC, Zhu B, Liu C, He G. Fine-Scale Genetic Structure and Natural Selection Signatures of Southwestern Hans Inferred From Patterns of Genome-Wide Allele, Haplotype, and Haplogroup Lineages. Front Genet 2021; 12:727821. [PMID: 34504517 PMCID: PMC8421688 DOI: 10.3389/fgene.2021.727821] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 07/29/2021] [Indexed: 12/15/2022] Open
Abstract
The evolutionary and admixture history of Han Chinese have been widely discussed via traditional autosomal and uniparental genetic markers [e.g., short tandem repeats, low-density single nucleotide polymorphisms). However, their fine-scale genetic landscapes (admixture scenarios and natural selection signatures) based on the high-density allele/haplotype sharing patterns have not been deeply characterized. Here, we collected and generated genome-wide data of 50 Han Chinese individuals from four populations in Guizhou Province, one of the most ethnolinguistically diverse regions, and merged it with over 3,000 publicly available modern and ancient Eurasians to describe the genetic origin and population admixture history of Guizhou Hans and their neighbors. PCA and ADMIXTURE results showed that the studied four populations were homogeneous and grouped closely to central East Asians. Genetic homogeneity within Guizhou populations was further confirmed via the observed strong genetic affinity with inland Hmong-Mien people through the observed genetic clade in Fst and outgroup f3/f4-statistics. qpGraph-based phylogenies and f4-based demographic models illuminated that Guizhou Hans were well fitted via the admixture of ancient Yellow River Millet farmers related to Lajia people and southern Yangtze River farmers related to Hanben people. Further ChromoPainter-based chromosome painting profiles and GLOBETROTTER-based admixture signatures confirmed the two best source matches for southwestern Hans, respectively, from northern Shaanxi Hans and southern indigenes with variable mixture proportions in the historical period. Further three-way admixture models revealed larger genetic contributions from coastal southern East Asians into Guizhou Hans compared with the proposed inland ancient source from mainland Southeast Asia. We also identified candidate loci (e.g., MTUS2, NOTCH4, EDAR, ADH1B, and ABCG2) with strong natural selection signatures in Guizhou Hans via iHS, nSL, and ihh, which were associated with the susceptibility of the multiple complex diseases, morphology formation, alcohol and lipid metabolism. Generally, we provided a case and ideal strategy to reconstruct the detailed demographic evolutionary history of Guizhou Hans, which provided new insights into the fine-scale genomic formation of one ethnolinguistically specific targeted population from the comprehensive perspectives of the shared unlinked alleles, linked haplotypes, and paternal and maternal lineages.
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Affiliation(s)
- Mengge Wang
- Guangzhou Forensic Science Institute, Guangzhou, China.,Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Didi Yuan
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, China
| | - Xing Zou
- College of Basic Medicine, Chongqing University, Chongqing, China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, China
| | - Hui-Yuan Yeh
- School of Humanities, Nanyang Technological University, Singapore, Singapore
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, China
| | - Lan-Hai Wei
- State Key Laboratory of Marine Environmental Science, State Key Laboratory of Cellular Stress Biology, Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Chuan-Chao Wang
- State Key Laboratory of Marine Environmental Science, State Key Laboratory of Cellular Stress Biology, Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Bofeng Zhu
- Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, China.,Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, China.,Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, Xi'an, China
| | - Chao Liu
- Guangzhou Forensic Science Institute, Guangzhou, China.,Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.,Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Guanglin He
- School of Humanities, Nanyang Technological University, Singapore, Singapore.,State Key Laboratory of Marine Environmental Science, State Key Laboratory of Cellular Stress Biology, Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
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10
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Zhang X, Yuan X, Huang Y, Yao J, Zhang J, Dai J, Liu L, Nie S, Hu L. Forensic genetic polymorphisms of 16 X-STR loci in the Yunnan Miao population and their relationship to other Chinese groups. Leg Med (Tokyo) 2021; 53:101961. [PMID: 34479066 DOI: 10.1016/j.legalmed.2021.101961] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 08/13/2021] [Accepted: 08/21/2021] [Indexed: 11/18/2022]
Abstract
Allele frequencies for 16 X-chromosomal STR (X-STR) loci were obtained from a sample set of 440 unrelated Yunnan Miao individuals in China. A total of 117 alleles were observed in this group, with allele frequencies ranging from 0.0016 to 0.7565. The most informative marker for the studied population was DXS10134, with a polymorphism information content (PIC) of 0.8499, and the least polymorphic locus was DXS6810 (PIC = 0.3071). The power of discrimination (PD) varied from 0.4046 (DXS6800) to 0.8642 (DXS10134) in males and from 0.6188 (DXS6800) to 0.9673 (DXS10134) in females. The combined PDM and PDF were 0.999999989975990 and 0.999999999999949, respectively. The combined MECD and MECT were 0.999983301904059 and 0.999999915883733, respectively. Furthermore, population genetic structure investigation between the Yunnan Miao and 20 other populations using principal component analysis (PCA), multidimensional scaling plot (MDS), and neighboring-joining (NJ) phylogenetic tree analyses illustrated significant genetic difference between the Yunnan Miao and the other populations. This study is the first to provide X chromosome genetic polymorphism data of the Miao population in Yunnan Province and can be used as a supplementary reference to enrich the national database.
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Affiliation(s)
- Xiufeng Zhang
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Xiaokun Yuan
- Honghe Public Security Bureau, Honghe, Yunnan Province, People's Republic of China
| | - Yangzhi Huang
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Jinyong Yao
- Honghe Public Security Bureau, Honghe, Yunnan Province, People's Republic of China
| | - Jian Zhang
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Jiameng Dai
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China
| | - Linlin Liu
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China.
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China.
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, People's Republic of China; Judicial Expertise Center of Kunming Medical University, Kunming, Yunnan Province, People's Republic of China.
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11
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Liu L, Yao J, Huang Y, Gao L, Dai J, Yuan X, Zhang X, Nie S, Hu L. Genetic polymorphisms of 16 X-STR loci in the Hani population from Southwest China. Forensic Sci Res 2021; 7:196-201. [PMID: 35784423 PMCID: PMC9246014 DOI: 10.1080/20961790.2021.1877389] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Affiliation(s)
- Linlin Liu
- School of Forensic Medicine, Kunming Medical University, Kunming, China
- Judicial Expertise Center, Kunming Medical University, Kunming, China
| | - Jinyong Yao
- Honghe Public Security Bureau, Honghe, China
| | | | - Lei Gao
- Honghe Public Security Bureau, Honghe, China
| | - Jiameng Dai
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | | | - Xiufeng Zhang
- School of Forensic Medicine, Kunming Medical University, Kunming, China
- Judicial Expertise Center, Kunming Medical University, Kunming, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, China
- Judicial Expertise Center, Kunming Medical University, Kunming, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, China
- Judicial Expertise Center, Kunming Medical University, Kunming, China
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12
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Graffelman J, Ortoleva L. A network algorithm for the X chromosomal exact test for Hardy-Weinberg equilibrium with multiple alleles. Mol Ecol Resour 2021; 21:1547-1557. [PMID: 33687797 PMCID: PMC8251783 DOI: 10.1111/1755-0998.13373] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 02/24/2021] [Accepted: 03/01/2021] [Indexed: 11/27/2022]
Abstract
Statistical methodology for testing the Hardy–Weinberg equilibrium at X chromosomal variants has recently experienced considerable development. Up to a few years ago, testing X chromosomal variants for equilibrium was basically done by applying autosomal test procedures to females only. At present, male alleles can be taken into account in asymptotic and exact test procedures for both the bi‐ and multiallelic case. However, current X chromosomal exact procedures for multiple alleles rely on a classical full enumeration algorithm and are computationally expensive, and in practice not feasible for more than three alleles. In this article, we extend the autosomal network algorithm for exact Hardy–Weinberg testing with multiple alleles to the X chromosome, achieving considerable reduction in computation times for multiallelic variants with up to five alleles. The performance of the X chromosomal network algorithm is assessed in a simulation study. Beyond four alleles, a permutation test is, in general, the more feasible approach. A detailed description of the algorithm is given, and examples of X chromosomal indels and microsatellites are discussed.
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Affiliation(s)
- Jan Graffelman
- Department of Statistics and Operations Research, Universitat Politècnica de Catalunya, Barcelona, Spain.,Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Leonardo Ortoleva
- Department of Statistics and Operations Research, Universitat Politècnica de Catalunya, Barcelona, Spain.,Department of Control and Computer Engineering, Politecnico di Torino, Torino, Italy
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13
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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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14
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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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15
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Ren Z, Guo J, He G, Zhang H, Zou X, Zhang H, Wang Q, Ji J, Yang M, Zhang J, Zhang Z, Nabijiang Y, Huang J, Wang CC. Forensic genetic polymorphisms and population structure of the Guizhou Bouyei people based on 19 X-STR loci. Ann Hum Biol 2019; 46:574-580. [PMID: 31795774 DOI: 10.1080/03014460.2019.1697362] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Background: Guizhou province is located in southwest China with abundant genetic, linguistic and cultural diversity. The Bouyei is one of the 18 officially recognised minority groups in Guizhou, accounting for about 97% of the total Bouyei population in China. However, the genetic history and forensic characterisation of the Bouyei people is largely unknown due to a lack of genetic data.Aim: We aim to investigate genetic polymorphisms and forensic characterisation of the Guizhou Bouyei population, as well as the relationships between the Bouyei and other East Asian populations.Subjects and methods: We genotyped 19 X-STRs in 188 males and 165 females of Guizhou Bouyei using the AGCU X19 STR Kit. We estimated allele frequencies, forensic parameters and genetic distances between the Bouyei and other East Asian populations. We presented the genetic distances in a phylogenetic tree, an MDS plot and a PCA plot.Results: In Guizhou Bouyei individuals, we observed 216 alleles with corresponding frequencies ranging from 0.0019 to 0.6757. All of the six combined powers of PDm, PDf, MEC Krüger, MEC Kishida, MEC Desmarais and MEC Desmarais in allele diversity and haplotype diversity are larger than 0.99999995. We found genetic affinities among the Bouyei people and their geographical neighbouring populations in Guizhou, such as the Sui, Miao and Han.Conclusions: The highly polymorphic and informative forensic parameters of the 19 X-STRs in Bouyei people show the powerful potential of those markers in forensic identification and parentage tests. The genetic relationships of the Bouyei with other East Asian populations correspond well with geographic affiliations as well as linguistic classifications.
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Affiliation(s)
- Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jianxin Guo
- Department of History, Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
| | - Guanglin He
- Department of History, Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.,Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, China
| | - Han Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Xing Zou
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 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
| | - Jing Zhang
- Department of History, Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
| | - Ziqian Zhang
- Department of History, Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
| | - Yilizhati Nabijiang
- Department of History, Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
| | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Chuan-Chao Wang
- Department of History, Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
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16
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Chen P, Zou X, Wang M, Gao B, Su Y, He G. Forensic features and genetic structure of the Hotan Uyghur inferred from 27 forensic markers. Ann Hum Biol 2019; 46:589-600. [PMID: 31762339 DOI: 10.1080/03014460.2019.1687751] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Background: The Uyghur is the fifth largest group in China and also the largest ethnic minority in Xinjiang.Aim: To explore the genetic variations of 27 forensic genetic markers included in the newly developed SureID® PanGlobal Human DNA Identification System and analyse the genetic relationship between Xinjiang Uyghur and their neighbours.Subjects and methods: We genotyped 27 markers in 2,189 unrelated Uyghur individuals from the Hotan Prefecture in Southwest Xinjiang. Comprehensive population genetic studies among Chinese populations and worldwide populations were conducted via various statistics.Results: The combined power of discrimination (CPD) and the combined power of exclusion (CPE) of the new-generation autosomal STR amplification system in the Hotan Uyghur are 9,9999-E01 and 9,9999-E01, respectively. Population genetic studies indicate that the Hotan Uyghur show a close genetic relationship with geographically different Uyghurs and Kazakhs, while significant genetic differentiation exists between the Hotan Uyghur and some ethnicities from other non-Turkic-speaking populations. The results of population comparisons among the 52 worldwide populations demonstrate that geographically approached intercontinental populations have close genetic relationships.Conclusions: 24 autosomal STRs are highly polymorphic and informative in the Uyghur and this system is suitable for forensic personal identification and paternity testing. Our findings not only reveal that Chinese Uyghur is a homogenous population based on forensic genetic markers, but also indicate that population genetic affinity is closely related to the adjacent populations with common ethnic origin.
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Affiliation(s)
- Pengyu Chen
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,School of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Xing Zou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Mengge Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Bo Gao
- Yili Public Security Bureau of Xinjiang, Institute of forensic science, Kuitun, China
| | - Yongdong Su
- Forensic Identification Center, Public Security Bureau of Tibet Autonomous Region, Lhasa, China
| | - Guanglin He
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
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17
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Chen P, Wu J, Luo L, Gao H, Wang M, Zou X, Li Y, Chen G, Luo H, Yu L, Han Y, Jia F, He G. Population Genetic Analysis of Modern and Ancient DNA Variations Yields New Insights Into the Formation, Genetic Structure, and Phylogenetic Relationship of Northern Han Chinese. Front Genet 2019; 10:1045. [PMID: 31737039 PMCID: PMC6832103 DOI: 10.3389/fgene.2019.01045] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 09/30/2019] [Indexed: 11/30/2022] Open
Abstract
Modern East Asians derived from the admixture of aborigines and incoming farmers expanding from Yellow and Yangtze River Basins. Distinct genetic differentiation and subsequent admixture between Northeast Asians and Southeast Asians subsequently evidenced by the mitochondrial DNA, Y-chromosomal variations, and autosomal SNPs. Recently, population geneticists have paid more attention to the genetic polymorphisms and background of southern-Han Chinese and southern native populations. The genetic legacy of northern-Han remains uncharacterized. Thus, we performed this comprehensive population genetic analyses of modern and ancient genetic variations aiming to yield new insight into the formation of modern Han, and the genetic ancestry and phylogenetic relationship of the northern-Han Chinese population. We first genotyped 25 forensic associated markers in 3,089 northern-Han Chinese individuals using the new-generation of the Huaxia Platinum System. And then we performed the first meta-analysis focused on the genetic affinity between Asian Neolithic∼Iron Age ancients and modern northern-Han Chinese by combining mitochondrial variations in 417 ancient individuals from 13 different archeological sites and 812 modern individuals, as well as Y-chromosomal variations in 114 ancient individuals from 12 Neolithic∼Iron Age sites and 2,810 modern subjects. We finally genotyped 643,897 genome-wide nucleotide polymorphisms (SNPs) in 20 Shanxi Han individuals and combined with 1,927 modern humans and 40 Eurasian ancient genomes to explore the genetic structure and admixture of northern-Han Chinese. We addressed genetic legacy, population structure and phylogenetic relationship of northern-Han Chinese via various analyses. Our population genetic results from five different reference datasets indicated that Shanxi Han shares a closer phylogenetic relationship with northern-neighbors and southern ethnically close groups than with Uyghur and Tibetan. Genome-wide variations revealed that modern northern-Han derived their ancestry from Yakut-related population (25.2%) and She-related population (74.8%). Summarily, the genetic mixing that led to the emergence of a Han Chinese ethnicity occurred at a very early period, probably in Neolithic times, and this mixing involved an ancient Tibeto-Burman population and a local pre-Sinitic population, which may have been linguistically Altaic.
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Affiliation(s)
- Pengyu Chen
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Jian Wu
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Li Luo
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Hongyan Gao
- Center of Forensic Expertise, Affiliated Hospital of Zunyi Medical University, Zunyi, China.,Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Mengge Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Xing Zou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
| | - Yingxiang Li
- Department of Bioinformatics, WeGene, Shenzhen, China
| | - Gang Chen
- Department of Bioinformatics, WeGene, Shenzhen, China
| | - Haibo Luo
- Department of Forensic Medicine, Zunyi Medical University, Zunyi, China
| | - Limei Yu
- Key Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Yanyan Han
- Department of Nutrition and Food Hygiene, School of Public Health, Zunyi Medical University, Zunyi, China
| | - Fuquan Jia
- Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot, China
| | - Guanglin He
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
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18
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Genetic diversity, structure and forensic characteristics of Hmong-Mien-speaking Miao revealed by autosomal insertion/deletion markers. Mol Genet Genomics 2019; 294:1487-1498. [PMID: 31312894 DOI: 10.1007/s00438-019-01591-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 06/22/2019] [Indexed: 02/08/2023]
Abstract
Insertion/deletion (Indel) genetic markers have special features compared to other forensic-related markers, such as the low mutation rate and di-allelic markers with length polymorphism, playing an indispensable role in the forensic and population genetics, molecular anthropology and evolutionary biology. However, the genetic diversity, allelic frequency, forensic parameters and population genetic characteristics of the Indel markers in Hmong-Mien-speaking Guizhou Miao people are unclear due to the sparse sampling. Thus, we genotyped 30 forensic-related Indel markers in 311 unrelated healthy Miao individuals (149 females and 161 males) residing in the Guizhou Province in Southwest China using the Investigator DIPplex amplification system. All 30 Indels are in accordance with the no departures of Hardy-Weinberg equilibrium and linkage disequilibrium. The combined probability of discrimination and the probability of exclusion in Guizhou Miao population are 0.999999999948 and 0.9843, respectively. This observed ideal forensic parameter estimates indicate that this di-allelic Indel panel can be used as a supplementary tool in forensic retinue personal identification and complemented for autosomal STRs in the parentage testing in Miao population, especially used as the main tool in old or highly degraded samples in disaster victim identification. Eleven Indels show a high allele frequency difference between different continental populations and could be used as ancestry-informative markers in forensic ancestry inference. Phylogenetic relationships between Guizhou Miao and 68 worldwide populations based on the genetic polymorphisms of Indels are investigated via three different pairwise genetic distances, principal component analysis, multidimensional scaling analysis and phylogenetic relationship reconstructions. Analyses of the comprehensive population genetic relationship comparison reveal significant genetic differentiation of Chinese groups. Our results demonstrate that Guizhou Miao people are genetically closer related to the geographically adjacent populations, especially with Liangshan Yi, Guangxi Miao and Dong, but genetically distinct with Turkic-speaking populations. Comprehensive and precise genetic admixture and divergence history of Guizhou Miao and neighboring populations are needed to further investigate and reconstruct via high-density marker panel or whole-genome sequencing of modern or ancient Miao samples.
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Guo J, Ji J, He G, Ren Z, Zhang H, Wang Q, Yang M, Nabijiang Y, Zhang Z, Zhang J, Huang J, Wang CC. Genetic structure and forensic characterisation of 19 X-chromosomal STR loci in Guizhou Sui population. Ann Hum Biol 2019; 46:246-253. [PMID: 31179782 DOI: 10.1080/03014460.2019.1623911] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Background: Guizhou Sui people are an officially recognised ethnic group living in southwest China, but have seldom been studied genetically.Aim: To investigate the polymorphisms of 19 X-chromosome STR loci in a typical Sui population and enrich the East Asian X-STR reference database for forensic DNA analysis.Subjects and methods: A total of 400 Sui individuals (195 males and 205 females) were genotyped at 19 X-STR loci using the AGCU X19 STR Kit. The allele frequencies and forensic parameters were calculated and illustrated and the data of Guizhou Sui were merged with 18 other nationwide populations to explore genetic polymorphisms and population relationships.Results: A total of 215 alleles were observed with corresponding frequencies ranging from 0.0017-0.6512 in Sui using male and female pooled allele frequencies. Large values were observed, at least 0.9999999933, in combined powers of discrimination of Sui males and females, as well as the four mean paternity exclusion chances (MECs). The phylogenetic analysis among 19 populations showed that Sui have close genetic affinities with other Tai-Kadai populations, as well as the Sinitic populations living in southern China.Conclusions: The AGCU X-19 STRs are highly polymorphic and informative in Guizhou Sui people. The genetic relationships between Sui and other populations in China are generally consistent with the language classification and geographical distance.
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Affiliation(s)
- Jianxin Guo
- Department of History, Department of Anthropology and Ethnology, Institute of Anthropology, Xiamen University, Xiamen, PR China
| | - Jingyan Ji
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, PR China
| | - Guanglin He
- Department of History, Department of Anthropology and Ethnology, Institute of Anthropology, Xiamen University, Xiamen, PR China.,Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, PR China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, PR China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, PR China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, PR China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, PR China
| | - Yilizhati Nabijiang
- Department of History, Department of Anthropology and Ethnology, Institute of Anthropology, Xiamen University, Xiamen, PR China
| | - Ziqian Zhang
- Department of History, Department of Anthropology and Ethnology, Institute of Anthropology, Xiamen University, Xiamen, PR China
| | - Jing Zhang
- Department of History, Department of Anthropology and Ethnology, Institute of Anthropology, Xiamen University, Xiamen, PR China
| | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, PR China
| | - Chuan-Chao Wang
- Department of History, Department of Anthropology and Ethnology, Institute of Anthropology, Xiamen University, Xiamen, PR China
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