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Zhang H, Yang M, Zhang H, Ren Z, Wang Q, Liu Y, Jin X, Ji J, Feng Y, Cai C, Ran Q, Li C, Huang J. Forensic features and phylogenetic structure survey of four populations from southwest China via the autosomal insertion/deletion markers. Forensic Sci Res 2024; 9:owad052. [PMID: 38765700 PMCID: PMC11102079 DOI: 10.1093/fsr/owad052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 05/09/2023] [Indexed: 05/22/2024] Open
Abstract
Insertion/Deletion (InDel) polymorphisms, characterized by their smaller amplicons, reduced mutation rates, and compatibility with the prevalent capillary electrophoresis (CE) platforms in forensic laboratories, significantly contribute to the advancement and application of genetic analysis. Guizhou province in China serves as an important region for investigating the genetic structure, ethnic group origins, and human evolution. However, DNA data and the sampling of present-day populations are lacking, especially about the InDel markers. Here, we reported data on 47 autosomal InDels from 592 individuals from four populations in Guizhou (Han, Dong, Yi, and Chuanqing). Genotyping was performed with the AGCU InDel 50 kit to evaluate their utility for forensic purposes and to explore the population genetic structure. Our findings showed no significant deviations from Hardy-Weinberg and linkage equilibriums. The combined power of discrimination (CPD) and the combined power of exclusion (CPE) for each population demonstrated that the kit could be applied to forensic individual identification and was an effective supplement for parentage testing. Genetic structure analyses, including principal component analysis, multidimensional scaling, genetic distance calculation, STRUCTURE, and phylogenetic analysis, highlighted that the genetic proximity of the studied populations correlates with linguistic, geographical, and cultural factors. The observed genetic variances within four research populations were less pronounced than those discerned between populations across different regions. Notably, the Guizhou Han, Dong, and Chuanqing populations showed closer genetic affiliations with linguistically similar groups than the Guizhou Yi. These results underscore the potential of InDel markers in forensic science and provide insights into the genetic landscape and human evolution in multi-ethnic regions like Guizhou. Key points InDel markers show promise for forensic individual identification and parentage testing via the AGCU InDel 50 kit.Genetic analysis of Guizhou populations reveals correlations with linguistic, geographical, and cultural factors.Guizhou Han, Dong, and Chuanqing populations showed closer genetic affiliations with linguistically similar groups than the Guizhou Yi.
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Affiliation(s)
- Han Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
- Institute of Forensic Science, Fudan University, Shanghai, China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Xiaoye Jin
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Jingyan Ji
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Yuhang Feng
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Changsheng Cai
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Qianchong Ran
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Chengtao Li
- Institute of Forensic Science, Fudan University, Shanghai, China
| | - Jiang Huang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
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Duan S, Wang M, Wang Z, Liu Y, Jiang X, Su H, Cai Y, Sun Q, Sun Y, Li X, Chen J, Zhang Y, Yan J, Nie S, Hu L, Tang R, Yun L, Wang CC, Liu C, Yang J, He G. Malaria resistance-related biological adaptation and complex evolutionary footprints inferred from one integrative Tai-Kadai-related genomic resource. Heliyon 2024; 10:e29235. [PMID: 38665582 PMCID: PMC11043949 DOI: 10.1016/j.heliyon.2024.e29235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 04/01/2024] [Accepted: 04/03/2024] [Indexed: 04/28/2024] Open
Abstract
Pathogen‒host adaptative interactions and complex population demographical processes, including admixture, drift, and Darwen selection, have considerably shaped the Neolithic-to-Modern Western Eurasian population structure and genetic susceptibility to modern human diseases. However, the genetic footprints of evolutionary events in East Asia remain unknown due to the underrepresentation of genomic diversity and the design of large-scale population studies. We reported one aggregated database of genome-wide SNP variations from 796 Tai-Kadai (TK) genomes, including that of Bouyei first reported here, to explore the genetic history, population structure, and biological adaptative features of TK people from southern China and Southeast Asia. We found geography-related population substructure among TK people using the state-of-the-art population genetic structure reconstruction techniques based on the allele frequency spectrum and haplotype-resolved phased fragments. We found that the northern TK people from Guizhou harbored one TK-dominant ancestry maximized in the Bouyei people, and the southern TK people from Thailand were more influenced by Southeast Asians and indigenous people. We reconstructed fitted admixture models and demographic graphs, which showed that TK people received gene flow from ancient southern rice farmer-related lineages related to the Hmong-Mien and Austroasiatic people and from northern millet farmers associated with the Sino-Tibetan people. Biological adaptation focused on our identified unique TK lineages related to Bouyei, which showed many adaptive signatures conferring Malaria resistance and low-rate lipid metabolism. Further gene enrichment, the allele frequency distribution of derived alleles, and their correlation with the incidence of Malaria further confirmed that CR1 played an essential role in the resistance of Malaria in the ancient "Baiyue" tribes.
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Affiliation(s)
- Shuhan Duan
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Yan Liu
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Xiucheng Jiang
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Haoran Su
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Yan Cai
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
| | - Qiuxia Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Yuntao Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Xiangping Li
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Jing Chen
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Yijiu Zhang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Libing Yun
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, 361005, Fujian, China
| | - Chao Liu
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China
| | - Junbao Yang
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
| | - Guanglin He
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China
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Du W, Zheng X, Jiang L, Li S, Lan S, Ye Y, Liu J. Forensic characteristics and genetic structure of the Chinese Tibetan population revealed by 38 X-chromosomal InDel loci. Forensic Sci Int 2024; 356:111961. [PMID: 38377671 DOI: 10.1016/j.forsciint.2024.111961] [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: 11/05/2023] [Revised: 01/04/2024] [Accepted: 02/04/2024] [Indexed: 02/22/2024]
Abstract
With the increasing importance of X-chromosome (Chr-X) genotyping in kinship identification, the exploitation of X chromosome genetic marker multiplex kits is increasing. The Human X-InDels amplification kit is a novel developed system which contained 38 X-chromosomal Insertion/deletion markers (X-InDels) and Amelogenin. Herein, we investigated the genetic diversity of the 38 X-InDels in the Tibetan ethnic minority (n = 792) from seven regions and evaluated the application potential of this novel panel. The rs16368 was the least variable locus, whereas the most polymorphic locus was the rs59605609 in Tibetan population. We confirmed three linkage groups with the haplotype diversities ranged from 0.5032 to 0.5976. The overall combined power of discrimination (PD) in males and females were 0.999999999582066 and 0.999999999999993, respectively. And the overall combined mean exclusion chance (MEC) values were not lower than 0.999125526990159. In addition, we explored the genetic relationships among the Tibetans in seven different regions via series of population comparison analyses, finding that the genetic relationship between the Ngari Tibetan and Chamdo Tibetan was the farthest, which was consistent with geographical distribution.
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Affiliation(s)
- Weian Du
- Key Laboratory of Evidence Science (China University of Political Science and Law), Ministry of Education, Beijing 100088, China; Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China; Guangdong Homy Genetics Incorporation, Foshan 528000, China
| | - Xinyue Zheng
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Lirong Jiang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Suyu Li
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Shengnan Lan
- Department of Forensic Toxicological Analysis, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Yi Ye
- Department of Forensic Toxicological Analysis, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China.
| | - Jing Liu
- Key Laboratory of Evidence Science (China University of Political Science and Law), Ministry of Education, Beijing 100088, China; Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China.
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Wang X, Zhang H, Wang Q, Yang M, Liu Y, Ran Q, Huang C, Huang J, Ren Z, Jin X. Insertion/deletion polymorphism for genetic background and forensic performance exploration of the Sui group from Guizhou. Heliyon 2023; 9:e21384. [PMID: 38027767 PMCID: PMC10643464 DOI: 10.1016/j.heliyon.2023.e21384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 09/08/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
Insertion/deletion polymorphisms (InDels) as ideal genetic markers for forensic genetics are appreciated by scholars both nationally and internationally because they integrated the favorable features of single nucleotide polymorphisms (SNPs) and short tandem repeats (STRs). Nevertheless, with the limited identification efficiency of InDels, the multiplex amplification systems of InDels might just be applied as the supplementary methods in paternity testing with respect to commonly used STRs. In the current research, we successfully genotyped 105 unrelated individuals from the Guizhou Sui population based on a six-color fluorescence multiplex panel that could simultaneously detect 64 genetic markers (59 autosomal InDels, two autosomal miniSTRs and three Y chromosomal genetic markers). In addition, frequency distributions and forensic statistical parameters of these loci in the Sui group were assessed using the STRAF software. Phylogenetic relationships among the Sui group and other reference populations were dissected by two methods (principal component analysis and phylogenetic trees) based on 59 InDels. The combined discrimination power and probability of exclusion values of 61 autosomal genetic markers in the Sui group were nearly equal to 1-1.90063 × 10-27 and 0.999998272, respectively. Furthermore, we observed that the Sui group from Guizhou had closer genetic affinities with East Asian populations with respect to other continental populations. In summary, we stated that the multiplex amplification system might be utilized as a prospective independent tool for human individual identification and parentage testing in the Sui group residing in Guizhou.
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Affiliation(s)
- Xiaoxue Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Qianchong Ran
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Chunli Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Xiaoye Jin
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, Guizhou, China
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Chen M, Lan Q, Nie S, Hu L, Fang Y, Cui W, Bai X, Liu L, Zhu B. Forensic efficiencies of individual identification, kinship testing and ancestral inference in three Yunnan groups based on a self-developed multiple DIP panel. Front Genet 2023; 13:1057231. [PMID: 36685924 PMCID: PMC9845582 DOI: 10.3389/fgene.2022.1057231] [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: 09/29/2022] [Accepted: 11/25/2022] [Indexed: 01/06/2023] Open
Abstract
Deletion/insertion polymorphism (DIP), as a short insertion/deletion sequence polymorphic genetic marker, has attracted the attention of forensic genetic scientist due to its lack of stutter, short amplicon and abundant ancestral information. In this study, based on a self-developed 43 autosomal deletion/insertion polymorphism (A-DIP) loci panel which could meet the forensic application purposes of individual identification, kinship testing and ancestral inference to some extent, we evaluated the forensic efficiencies of the above three forensic objectives in Chinese Yi, Hani and Miao groups of Yunnan province. The cumulative match probability (CPM) and combined probability of exclusion (CPE) of these three groups were 1.11433E-18, 8.24299E-19, 4.21721E-18; 0.999610217, 0.999629285 and 0.999582084, respectively. Average 96.65% full sibling pairs could be identified from unrelated individual pairs (as likelihood ratios > 1) using this DIP panel, whereas the average false positive rate was 3.69% in three target Yunnan groups. With the biogeographical ancestor prediction models constructed by extreme gradient boosting (XGBoost) and support vector machine (SVM) algorithms, 0.8239 (95% CI 0.7984, 0.8474) of the unrelated individuals could be correctly divided according to the continental origins based on the 43 A-DIPs which were large frequency distribution differentiations among different continental populations. The present results of principal component analysis (PCA), multidimensional scaling (MDS), neighbor joining (NJ) and maximum likelihood (ML) phylogenetic trees and STRUCTURE analyses indicated that these three Yunnan groups had relatively close genetic distances with East Asian populations.
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Affiliation(s)
- Man Chen
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Qiong Lan
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Yating Fang
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Wei Cui
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Xiaole Bai
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Liu Liu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Bofeng Zhu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China,Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, 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,*Correspondence: Bofeng Zhu,
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Feng Y, Wang T, Yang Y, You J, He K, Zhang H, Wang Q, Yang M, Huang J, Ren Z, Jin X. Genetic features and phylogenetic relationship analyses of Guizhou Han population residing in Southwest China via 38 X-InDels. PeerJ 2023; 11:e14964. [PMID: 36915656 PMCID: PMC10007965 DOI: 10.7717/peerj.14964] [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: 10/25/2022] [Accepted: 02/06/2023] [Indexed: 03/11/2023] Open
Abstract
Background The insertion/deletion polymorphism (InDel), an ideal forensic genetic marker with a low spontaneous mutation rate and small amplification product fragments, is widely distributed in the genome, combining the advantages of STR and SNP genetic markers. The X-chromosome has high application value in complex paternity testing, and it is an excellent system for evaluating population admixture and studying evolutionary anthropology. However, further research is needed on the population genetics of X-chromosome InDels (X-InDels). Methods In this article, a system composed of 38 X-InDel loci was utilized to analyse and evaluate the forensic parameters of the Guizhou Han population in order to explore its forensic application efficiency. Results The results showed that expected heterozygosities spanned from 0.0189 to 0.5715, and the cumulative power of discrimination of the 32 X-InDels and three linkage blocks was 0.9999999954 and 0.999999999999741 for males and females, respectively. The combined mean exclusion chance of these loci for trios and duos is 0.999999 and 0.999747, respectively. Multiple methods like principal component analysis, Fst genetic distance, and phylogenetic reconstruction were employed for dissecting the genetic structure of the Guizhou Han population by comparing it with previously reported populations. As expected, the studied Han population displayed relatively close genetic affinities with the East Asian populations. At the same time, there were obvious genetic differentiations between the Guizhou Han population and other continental populations that were discerned, especially for the African populations. Conclusions This study further verified the applicability of 38 X-InDels for human personal identification and kinship analyses of Han Chinese, and also showed the application potential of X-InDels in population genetics.
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Affiliation(s)
- Yuhang Feng
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, China, Academy of Forensic Science, Shanghai, China.,Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Ting Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Yunteng Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jiangtao You
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Kun He
- 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
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Xiaoye Jin
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, China, Academy of Forensic Science, Shanghai, China.,Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
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Ren Z, Feng Y, Zhang H, Wang Q, Yang M, Liu Y, Le C, Wang J, Huang J. Genetic analysis of the mitochondrial DNA control region in Tai-Kadai-speaking Dong population in southwest China. Ann Hum Biol 2022; 49:354-360. [PMID: 36190920 DOI: 10.1080/03014460.2022.2131334] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
BACKGROUND Dong people in Southwest China are officially recognised as an ethnic group, but there has been a lack of population genetic research on this group, especially based on mitochondrial DNA data. AIM To study the sequences and haplogroups of the mitochondrial DNA control region in a typical Dong population, and to provide help for the construction of a forensic mitochondrial DNA analysis reference database in East Asia. SUBJECTS AND METHODS The sequences of the mitochondrial DNA control region were analysed in 200 individuals of Dong in Guizhou. The haplotype frequencies, haplogroup distribution and paired Fst values of Guizhou Dong and 51 other populations in the world were calculated and explained to explore the genetic polymorphism and population relationships. RESULTS A total of 180 haplotypes were detected, with frequencies of 0.005-0.02. All haplotypes were assigned to 97 different haplogroups. The haplotype diversity and random matching probability were 0.998643 and 0.00635, respectively. The paired Fst values and correlation p values of 52 populations showed that the Guizhou Dong had the closest genetic relationship with the Henan Han and the Guizhou Miao in China, and were closest to the Punjab population in Pakistan and the Kashmiri population when compared with the world populations. CONCLUSIONS Our study was based on the matrilineal genetic structure of Guizhou Dong to study mitochondrial DNA, which was helpful to promote the establishment of the forensic DNA reference database in East Asia and provide reference for anthropological research.
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Affiliation(s)
- Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Yuhang Feng
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Cuiyun Le
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Jie Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
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Ren Z, Yang M, Jin X, Wang Q, Liu Y, Zhang H, Ji J, Wang CC, Huang J. Genetic substructure of Guizhou Tai-Kadai-speaking people inferred from genome-wide single nucleotide polymorphisms data. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.995783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The genome-wide characteristics and admixture history of the Tai-Kadai-speaking populations are essential for understanding the population genetic diversity in southern China. We genotyped about 700,000 single nucleotide polymorphisms (SNPs) of 239 individuals from six Tai-Kadai-speaking populations residing in the mountainous Guizhou Province of southwestern China. We merged the genome-wide data with available populations and ancients in East and Southeast Asia to infer Tai-Kadai-speaking populations’ admixture history and genetic structure. We observed a genetic substructure within the studied six populations in the PCA, ADMIXTURE, ChromoPainter, GLOBETROTTER, f-statistics, and qpWave analysis. The Dong, Zhuang, and Bouyei people had a strong genetic affinity with other Tai-Kadai-speaking and Austronesian groups in the surrounding area. However, Gelao showed an affinity to Sino-Tibetan groups, and Mulao people were genetically close to Hmong-Mien populations. qpAdm further illuminated that Gelao and Dong_Tongren composited more Han-related ancestry than Dong, Zhuang, Bouyei, and Mulao people. Meanwhile, we observed high frequencies of Y-chromosome haplogroup O in studied Tai-Kadai-speaking groups except for Gelao people with a high haplogroup N frequency. From the maternal side, haplogroup M7 was frequent in studied populations except for Tongren Dong, who had a high frequency of haplogroup B5. Our newly reported data are helpful for further exploring population dynamics in southern China.
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Yang M, Yang X, Ren Z, He G, Zhang H, Wang Q, Liu Y, Zhang H, Ji J, Chen J, Guo J, Huang J, Wang CC. Genetic Admixture History and Forensic Characteristics of Guizhou Sui People Inferred From Autosomal Insertion/Deletion and Genome-Wide Single-Nucleotide Polymorphisms. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.844761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Insertion-deletion (Indel) serves as one of the important markers in forensic personal identification and parentage testing, especially for cases with degraded samples. However, the genetic diversity and forensic features in ethnolinguistically diverse southwestern Chinese populations remain to be explored. Sui, one Tai-Kadai-speaking population residing in Guizhou, has a complex genetic history based on linguistic, historic, and anthropological evidence. In this study, we genotyped 30 Indels from 511 Guizhou Sui individuals and obtained approximately 700,000 genome-wide single-nucleotide polymorphisms (SNPs) in 15 representative Sui individuals to comprehensively characterize the genetic diversity, forensic characteristics, and genomic landscape of Guizhou Sui people. The estimated forensic statistically allele frequency spectrum and parameters demonstrated that this Indels panel was polymorphic and informative in Tai-Kadai populations in southern China. Results of principal component analysis (PCA), STRUCTURE, and phylogenetic trees showed that Guizhou Sui had a close genetic relationship with geographically close Tai-Kadai and Hmong-Mien people. Furthermore, genomic analysis based on the Fst and f4-statistics further suggested the genetic affinity within southern Chinese Tai-Kadai-speaking populations and a close relationship with geographically adjoining Guizhou populations. Admixture models based on the ADMIXTURE, f4, three-way qpAdm, and ALDER results demonstrated the interaction between the common ancestor for Tai-Kadai/Austronesian, Hmong-Mien, and Austroasiatic speaking populations played a significant role in the formation of modern Tai-Kadai people. We observed a sex-biased influence in Sui people by finding that the dominant Y chromosomal type was a Hmong-Mien specific lineage O2a2a1a2a1a2-N5 but the mtDNA lineages were commonly found in Tai-Kadai populations. The additional southward expansion of millet farmers in the Yellow River Basin has impacted the gene pool of southern populations including Tai-Kadai. The whole-genome sequencing in the future will shed more light on the finer genetic profile of Guizhou populations.
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10
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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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11
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Zhang L, Zhu Z, Du W, Li S, Liu C. Genetic Structure and Forensic Feature of 38 X-Chromosome InDels in the Henan Han Chinese Population. Front Genet 2022; 12:805936. [PMID: 35047018 PMCID: PMC8762224 DOI: 10.3389/fgene.2021.805936] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 11/25/2021] [Indexed: 12/11/2022] Open
Abstract
Insertion/deletion (InDel) polymorphisms, as ideal forensic markers, show useful characteristics of both SNPs and STRs, such as low mutation rate, short amplicon size and general applicability of genotyping platform, and have been used in human identification, population genetics and biogeographic research in recent years. X-chromosome genetic markers are significant in population genetic studies and indispensable complements in some complex forensic cases. However, the population genetic studies of X-chromosome InDel polymorphisms (X-InDels) still need to be explored. In this study, the forensic utility of a novel panel including 38 X-InDel markers was evaluated in a sample of Han population from Henan province in China. It is observed that the heterozygosities ranged from 0.0054 to 0.6133, and the combined discrimination power was 1-9.18 × 10-17 for males and 1-7.22 × 10-12 for females respectively. The mean exclusion chance in trios and duos were 0.999999319 and 0.999802969 respectively. Multiple biostatistics methods, such as principal component analysis, genetic distances analysis, phylogenetic reconstruction, and structure analysis was used to reveal the genetic relationships among the studied Henan Han group and other 26 reference groups from 1,000 Genomes Project. As expected, the Henan Han population was clustered with East Asian populations, and the most intimate genetic relationships existed in three Han Chinese populations from Henan, Beijing and South China, and showed significant differences compared with other continental groups. These results confirmed the suitability of the 38 X-InDel markers both in individual identification and parentage testing in Han Chinese population, and simultaneously showed the potential application in population genetics.
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Affiliation(s)
- Lin Zhang
- Bio-evidence Science Academy, Xi'an Jiaotong University, Xi'an, China.,Department of Forensic Medicine, Xinxiang Medical University, Xinxiang, China
| | - Zhendong Zhu
- Department of Human Anatomy, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China
| | - Weian Du
- HOMY GeneTech Incorporation, Foshan, China
| | - Shengbin Li
- Bio-evidence Science Academy, Xi'an Jiaotong University, Xi'an, China
| | - Changhui Liu
- Guangzhou Forensic Science Institute, Guangzhou, China
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12
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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: 3.0] [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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13
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Jin X, Liu Y, Zhang Y, Li Y, Chen C, Wang H. Autosomal deletion/insertion polymorphisms for global stratification analyses and ancestry origin inferences of different continental populations by machine learning methods. Electrophoresis 2021; 42:1473-1479. [PMID: 33948979 DOI: 10.1002/elps.202100044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 03/19/2021] [Accepted: 04/12/2021] [Indexed: 11/11/2022]
Abstract
A lot of population data of 30 deletion/insertion polymorphisms (DIPs) of the Investigator DIPplex kit in different continental populations have been reported. Here, we assessed genetic distributions of these 30 DIPs in different continental populations to pinpoint candidate ancestry informative DIPs. Besides, the effectiveness of machine learning methods for ancestry analysis was explored. Pairwise informativeness (In) values of 30 DIPs revealed that six loci displayed relatively high In values (>0.1) among different continental populations. Besides, more loci showed high population-specific divergence (PSD) values in African population. Based on the pairwise In and PSD values of 30 DIPs, 17 DIPs in the Investigator DIPplex kit were selected to ancestry analyses of African, European, and East Asian populations. Even though 30 DIPs provided better ancestry resolution of these continental populations based on the results of PCA and population genetic structure, we found that 17 DIPs could also distinguish these continental populations. More importantly, these 17 DIPs possessed more balanced cumulative PSD distributions in these populations. Six machine learning methods were used to perform ancestry analyses of these continental populations based on 17 DIPs. Obtained results revealed that naïve Bayes manifested the greatest performance; whereas, k nearest neighbor showed relatively low performance. To sum up, these machine learning methods, especially for naïve Bayes, could be used as the valuable tool for ancestry analysis.
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Affiliation(s)
- Xiaoye Jin
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China.,Medical Genetics Institute of Henan Province, Henan Provincial People's Hospital,Zhengzhou University People's Hospital, Zhengzhou, P. R. China.,National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, P. R. China
| | - Yuluo Liu
- Department of Forensic Science, Guangdong Police College, Guangzhou, P. R. China
| | - Yuanyuan Zhang
- School of Foreign Languages, Zhengzhou University of Industrial Technology, Zhengzhou, P. R. China
| | - Yongle Li
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, P. R. China
| | - Chuanliang Chen
- Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, P. R. China
| | - Hongdan Wang
- Medical Genetics Institute of Henan Province, Henan Provincial People's Hospital,Zhengzhou University People's Hospital, Zhengzhou, P. R. China.,National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, P. R. China
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14
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Liu D, Duong NT, Ton ND, Van Phong N, Pakendorf B, Van Hai N, Stoneking M. Extensive Ethnolinguistic Diversity in Vietnam Reflects Multiple Sources of Genetic Diversity. Mol Biol Evol 2021; 37:2503-2519. [PMID: 32344428 PMCID: PMC7475039 DOI: 10.1093/molbev/msaa099] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Vietnam features extensive ethnolinguistic diversity and occupies a key position in Mainland Southeast Asia. Yet, the genetic diversity of Vietnam remains relatively unexplored, especially with genome-wide data, because previous studies have focused mainly on the majority Kinh group. Here, we analyze newly generated genome-wide single-nucleotide polymorphism data for the Kinh and 21 additional ethnic groups in Vietnam, encompassing all five major language families in Mainland Southeast Asia. In addition to analyzing the allele and haplotype sharing within the Vietnamese groups, we incorporate published data from both nearby modern populations and ancient samples for comparison. In contrast to previous studies that suggested a largely indigenous origin for Vietnamese genetic diversity, we find that Vietnamese ethnolinguistic groups harbor multiple sources of genetic diversity that likely reflect different sources for the ancestry associated with each language family. However, linguistic diversity does not completely match genetic diversity: There have been extensive interactions between the Hmong-Mien and Tai-Kadai groups; different Austro-Asiatic groups show different affinities with other ethnolinguistic groups; and we identified a likely case of cultural diffusion in which some Austro-Asiatic groups shifted to Austronesian languages during the past 2,500 years. Overall, our results highlight the importance of genome-wide data from dense sampling of ethnolinguistic groups in providing new insights into the genetic diversity and history of an ethnolinguistically diverse region, such as Vietnam.
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Affiliation(s)
- Dang Liu
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Nguyen Thuy Duong
- Institute of Genome Research, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Nguyen Dang Ton
- Institute of Genome Research, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Nguyen Van Phong
- Institute of Genome Research, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Brigitte Pakendorf
- Laboratoire Dynamique du Langage, UMR5596, CNRS & Université de Lyon, Lyon, France
| | - Nong Van Hai
- Institute of Genome Research, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Mark Stoneking
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
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15
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Lu J, Zhang H, Ren Z, Wang Q, Liu Y, Li Y, He G, Guo J, Zhao J, Hu R, Wei LH, Chen G, Huang J, Wang CC. Genome-wide analysis of unrecognised ethnic group Chuanqing people revealing a close affinity with Southern Han Chinese. Ann Hum Biol 2020; 47:465-471. [PMID: 32543893 DOI: 10.1080/03014460.2020.1782470] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
BACKGROUND Chuanqing is an unrecognised ethnic group in Guizhou, southwest China. The genetic history of the Chuanqing people is hotly debated due to a lack of available genetic data. AIM To infer the genetic structure and population history of the Chuanqing people and genetic relationships of the Chuanqing with other East Asians. SUBJECTS AND METHODS We collected samples from 14 Chuanqing individuals from Guizhou and genotyped about 690,000 genome-wide single nucleotide polymorphisms (SNPs). We used Principal Component Analysis (PCA), ADMIXTURE analysis, and f statistics to infer the population genetic structure and admixture. RESULTS Chuanqing people show a distinct genetic profile from indigenous Tai-Kadai and Tibeto-Burman speaking populations in southwest China, but they are genetically similar to southern Han Chinese, Miao, She and Tujia populations. The Han Chinese characteristic Y chromosomal lineages reach high frequencies in the Chuanqing. CONCLUSIONS The genetic formation of the Chuanqing people has been greatly influenced by Han Chinese related populations.
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Affiliation(s)
- Jiani Lu
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Yingxiang Li
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Guanglin He
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Jianxin Guo
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Jing Zhao
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Rong Hu
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | - Lan-Hai Wei
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
| | | | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guizhou, China
| | - Chuan-Chao Wang
- Department of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, and National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, China
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16
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Liu Y, Jin X, Lan Q, Zhao C, Xu H, Xie T, Lan J, Tai Y, Zhu B. Forensic characteristic and population structure dissection of Shaanxi Han population in the light of diallelic deletion/insertion polymorphism data. Genomics 2020; 112:3837-3845. [PMID: 32574833 DOI: 10.1016/j.ygeno.2020.06.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 06/15/2020] [Accepted: 06/17/2020] [Indexed: 12/08/2022]
Abstract
The genetic polymorphisms of diallelic deletion/insertion polymorphic (DIP) loci in the Shaanxi Han population are still not clearly characterized. Herein, allele frequencies and forensic application efficiencies for 30 diallelic DIP loci were investigated in 506 unrelated healthy Han individuals from Chinese Shaanxi province. Based on population data of the same 30 diallelic DIP loci, the genetic differentiations, hierarchical clustering relationships and population architectures among Shaanxi Han and other 50 populations were further dissected through genetic and bioinformatics analyses. Results indicated that most of the 30 diallelic DIP loci were relatively high polymorphisms in the Shaanxi Han population; and there were the genetically intimate relationships between Shaanxi Han and the East Asian populations. In summary, this study provided significant insights into genetic background of Shaanxi Han population, and the multiplex amplification of these 30 diallelic DIP loci was appropriate for forensic individual identification and population genetic research in Shaanxi Han population.
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Affiliation(s)
- Yanfang Liu
- Multi-Omics Innovative Research Center of Forensic Identification; Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Xiaoye Jin
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, 710004 Xi'an, China; Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, 710004, Xi'an, China; College of Forensic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Qiong Lan
- Multi-Omics Innovative Research Center of Forensic Identification; Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Congying Zhao
- Multi-Omics Innovative Research Center of Forensic Identification; Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Hui Xu
- Multi-Omics Innovative Research Center of Forensic Identification; Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Tong Xie
- Multi-Omics Innovative Research Center of Forensic Identification; Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Jiangwei Lan
- Multi-Omics Innovative Research Center of Forensic Identification; Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Yunchun Tai
- Multi-Omics Innovative Research Center of Forensic Identification; Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Bofeng Zhu
- Multi-Omics Innovative Research Center of Forensic Identification; Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China; Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, 710004 Xi'an, China; Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an Jiaotong University, 710004, Xi'an, China.
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17
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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: 3.5] [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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18
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Zou X, He G, Wang M, Huo L, Chen X, Liu J, Wang S, Ye Z, Wang F, Wang Z, Hou Y. Genetic diversity and phylogenetic structure of four Tibeto-Burman-speaking populations in Tibetan-Yi corridor revealed by insertion/deletion polymorphisms. Mol Genet Genomic Med 2020; 8:e1140. [PMID: 32017463 PMCID: PMC7196475 DOI: 10.1002/mgg3.1140] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 01/01/2020] [Accepted: 01/03/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Insertion/deletion polymorphisms (InDels), combined with all the desirable features of both short tandem repeat and single nucleotide polymorphism, have been used in archaeological and anthropological research, population genetics and forensic application. METHODS Thirty InDels in 530 individuals residing in the Tibetan-Yi corridor (142 Dujiangyan Tibetans, 164 Muli Tibetans, 187 Xichang Yis, and 37 Yanyuan Mosuos) were genotyped using the Investigator DIPplex. Forensic parameters and allele frequency spectrum were calculated. Genetic relationships between the investigated populations and worldwide and nationwide populations were assessed based on both the allele frequency distribution and genotype data. RESULTS The combined powers of exclusion were 0.9807 (Dujiangyan Tibetan), 0.9880 (Muli Tibetan), 0.9852 (Xichang Yi) and 0.9892 (Yanyuan Mosuo). The combined powers of discrimination were 0.999999999983 (Dujiangyan Tibetan), 0.999999999942 (Muli Tibetan), 0.999999999982 (Xichang Yi) and 0.999999999962 (Yanyuan Mosuo), respectively. The comprehensive population comparisons among worldwide and nationwide populations uniformly illustrated that the investigated populations have a genetically closer relationship with Tibeto-Burman-speaking populations and geographically adjacent populations. CONCLUSION These 30 loci can be regarded as an efficient genetic tool in forensic individual identification and as a supplementary tool in paternity testing in Dujiangyan Tibetan, Muli Tibetan, Xichang Yi, and Yanyuan Mosuo. The genetic proximity between the four populations in the Tibetan-Yi corridor and other populations is strongly correlated with the linguistic origin and geographical distance.
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Affiliation(s)
- Xing Zou
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Guanglin He
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Mengge Wang
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Liwen Huo
- Chongqing Hechuan District Public Security BureauChongqingChina
| | - Xu Chen
- Department of Clinical LaboratoryThe First People’s Hospital of Liangshan Yi Autonomous PrefectureXichangChina
| | - Jing Liu
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Shouyu Wang
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Ziwei Ye
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Fei Wang
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Zheng Wang
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
| | - Yiping Hou
- Institute of Forensic MedicineWest China School of Basic Science & Forensic MedicineSichuan UniversityChengduChina
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19
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Liu J, Du W, Wang M, Liu C, Wang S, He G, Wang Z. Forensic features, genetic diversity and structure analysis of three Chinese populations using 47 autosomal InDels. Forensic Sci Int Genet 2019; 45:102227. [PMID: 31865224 DOI: 10.1016/j.fsigen.2019.102227] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 12/08/2019] [Accepted: 12/16/2019] [Indexed: 12/31/2022]
Abstract
Insertion/deletion polymorphisms (InDels), which combine the desirable features of both short tandem repeats (STRs) and single-nucleotide polymorphisms (SNPs), have become widely used genetic markers for forensic investigations, anthropology and population genetics. The AGCU InDel 50 kit is a newly developed panel that contains 47 autosomal InDels (A-InDels), 2 Y-chromosomal InDels (Y-InDels) and Amelogenin and is designed to provide a higher discriminatory power in Chinese populations compared with the Qiagen DIPplex kit. In this study, 542 unrelated individuals were first genotyped to evaluate the forensic efficiency of this novel panel in three Chinese ethnicities (Hainan Han, Hainan Li and Zunyi Gelao groups). Additionally, genetic relationships among the three investigated populations (geographically close but linguistically different populations: Han and Li; geographically diverse but from the same language family: Li and Gelao) and 31 worldwide populations were analyzed using pairwise genetic distances, multidimensional scaling (MDS), phylogenetic tree, principal component analysis (PCA) and STRUCTURE. The combined powers of discrimination (CPD) for the Han, Li and Gelao groups were 0.999999999999999999635, 0.999999999999999997668 and 0.999999999999999999840, respectively, and the combined powers of exclusion (CPE) were 0.999715, 0.999283 and 0.999575, respectively. The genetic relationship between the Hainan Han and Zunyi Gelao groups was relatively closer than that between the Hainan Li and Zunyi Gelao groups, demonstrating that there was little gene communication between Li and Han living on Hainan Island as well as between Li and Gelao in the Tai-Kadai language family. The aforementioned results suggest that the AGCU InDel 50 kit is an effective tool that is appropriate for personal identification and population genetics.
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Affiliation(s)
- Jing Liu
- Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Weian Du
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China; AGCU ScienTech Incorporation, Wuxi 214174, China
| | - Mengge Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Changhui Liu
- Guangzhou Forensic Science Institute, Guangzhou 510000, China
| | - Shouyu Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Guanglin He
- Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China.
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20
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Luo Y, Wu Y, Qian E, Wang Q, Wang Q, Zhang H, Wang X, Zhang H, Yang M, Ji J, Ren Z, Zhang Y, Tang J, Huang J. Population genetic analysis of 36 Y-chromosomal STRs yields comprehensive insights into the forensic features and phylogenetic relationship of Chinese Tai-Kadai-speaking Bouyei. PLoS One 2019; 14:e0224601. [PMID: 31703068 PMCID: PMC6839857 DOI: 10.1371/journal.pone.0224601] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Accepted: 10/17/2019] [Indexed: 11/18/2022] Open
Abstract
Male-specifically inherited Y-STRs, harboring the features of haploidy and lack of crossing over, have gained considerable attention in population genetics and forensic investigations. Goldeneye® Y-PLUS kit was a recently developed amplification system focused on the genetic diversity of 36 Y-chromosomal short tandem repeats (Y-STRs) in East Asians. However, no population data and corresponding forensic features were reported in China. Here, 36 Y-STRs were first genotyped in 400 unrelated healthy Tai-Kadai-speaking Bouyei male individuals. A total of 371 alleles and 396 haplotypes could be detected, and the allelic frequencies ranged from 0.0025 to 0.9875. The haplotype diversity, random match probability and discrimination capacity values were 0.9999, 0.0026 and 0.9900, respectively. The gene diversity (GD) of 36 Y-STR loci in the studied group ranged from 0.0248 (DYS645) to 0.9601 (DYS385a/b). Population comparisons between the Guizhou Bouyei and 80 reference groups were performed via the AMOVA, MDS, and phylogenetic relationship reconstruction. The results showed that the population stratification was almost consistent with the geographic distribution and language-family, both among Chinese and worldwide ethnic groups. Our newly genotyped Bouyei samples show a close affinity with other Tai-Kadai-speaking groups in China and Southeast Asia. Our data may provide useful information for paternal lineage in the forensic application and population genetics, as well as evidence for archaeological and historical research.
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Affiliation(s)
- Ya Luo
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Yan Wu
- Guiyang Judicial Expertise Center of Public Security, Guiyang, Guizhou, China
| | - Enfang Qian
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Qian Wang
- Guiyang Judicial Expertise Center of Public Security, Guiyang, Guizhou, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Xiaojuan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Han Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Jingyan Ji
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Ying Zhang
- Guiyang Judicial Expertise Center of Public Security, Guiyang, Guizhou, China
| | - Jing Tang
- Guiyang Judicial Expertise Center of Public Security, Guiyang, Guizhou, China
- * E-mail: (JT); (JH)
| | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
- * E-mail: (JT); (JH)
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