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Mei S, Cui W, Chen M, Cai M, Lei F, Wang X, Yang S, Zhu B. Comprehensive elucidation on the genetic profile of the Hezhou Han population via an efficient InDel panel. Forensic Sci Res 2025; 10:owae021. [PMID: 40007634 PMCID: PMC11850652 DOI: 10.1093/fsr/owae021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 03/27/2024] [Indexed: 02/27/2025] Open
Abstract
The Han nationality is widely distributed in different regions, and it is one of the most populous nationalities in China. Compared with the ethnic minorities in Guangxi Zhuang Autonomous Region, there is relatively less research on Han individuals dwelled in Guangxi as a part of Chinese Han population. In this study, the genetic polymorphisms of 57 autosomal insertion/deletion (InDel) loci were explored in Hezhou Han (HZH) population. Forensic-related parameters revealed that these 57 InDel loci had high forensic validity and could be used in forensic practice application. In addition, the genetic relationships between the HZH population and 30 worldwide reference populations were explored using a variety of analytical methods, such as phylogenetic tree, principal component analysis, and genetic structure analysis. These results demonstrated that there were closer genetic relationships between the HZH and nine populations from East Asia (EAS). The prediction accuracy rates of five inter-continental cross-validation analyses for individuals from EAS was >0.9, and the prediction accuracy rates of three inter-continental cross-validation analyses for individuals from EAS, Europe, and Africa were all >0.95. In addition, 24 of the 57 InDel loci could be served as ancestral information inference loci, which could effectively distinguish individuals of EAS, Europe, and Africa. In conclusion, these InDel loci could be used not only as a good tool for individual identification and paternity testing in HZH population, but also as an auxiliary tool for ancestry information inference research.
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Affiliation(s)
- Shuyan Mei
- Key Laboratory of Evidence Science (China University of Political Science and Law), Ministry of Education, Beijing, China
- College of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China
| | - Wei Cui
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Man Chen
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Meiming Cai
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Fanzhang Lei
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Xi Wang
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | | | - Bofeng Zhu
- Key Laboratory of Evidence Science (China University of Political Science and Law), Ministry of Education, Beijing, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, 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
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Chen X, Xu H, Cui W, Zhao M, Zhu B. Systematical explorations of forensic feature and population genetic diversity of the Chinese Mongolian group from northwest China via a self-constructed Multi-InDel panel. Forensic Sci Res 2024; 9:owad047. [PMID: 38560582 PMCID: PMC10981549 DOI: 10.1093/fsr/owad047] [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: 10/15/2022] [Accepted: 10/16/2023] [Indexed: 04/04/2024] Open
Abstract
This study aimed to investigate the genetic polymorphisms and population characteristics of Chinese Mongolian group from northwest China (NCM) through a self-developed panel including 43 autosomal insertion/deletion (A-InDel) polymorphism genetic markers. Herein, 288 unrelated healthy individuals from the NCM group were employed to obtain the genetic data of 43 A-InDels through multiplex PCR amplification and InDel genotyping using capillary electrophoresis platform. In addition, multiplex population genetic analyses were performed between the NCM group and 27 reference populations. There were no deviations at 43 loci from Hardy-Weinberg equilibrium in the NCM group. The observed heterozygosity (Ho) values ranged from 0.312 8 to 0.559 2, and the combined power of discrimination (CPD) and cumulative probability of exclusion (CPE) values in the NCM group were 0.999 999 999 999 999 998 77 and 0.999 814, respectively. The forensic parameter values indicated that this panel was polymorphic and informative in the NCM group and could be used as an effective tool for forensic personal identification. Furthermore, the results of pairwise genetic distances, principal component analysis, multidimensional scaling analysis, phylogenetic tree construction, and admixture analysis among the NCM group and 27 reference populations revealed that there were closer genetic relationships between the NCM group and East Asian populations, especially Chinese Hui group (CHH) from the northwest China, which is consistent with the geographical location. These present findings contributed to the ongoing genetic explorations and insights into the genetic architecture of the NCM group.
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Affiliation(s)
- Xuebing Chen
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Hui Xu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Wei Cui
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Ming Zhao
- 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
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an, China
- Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi'an, China
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Zeng K, Zhao D. Genetic polymorphism analysis and forensic application evaluation of 57 insertion/deletion polymorphisms from Yi ethnic group in Yunnan. Ann Hum Biol 2024; 51:1-9. [PMID: 38251838 DOI: 10.1080/03014460.2023.2294743] [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: 05/23/2023] [Accepted: 11/29/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND As a new kind of diallelic genetic marker, insertion/deletion (InDel) polymorphisms have recently been used in forensic science. However, there are relatively few studies on the forensic evaluation of InDel genetic polymorphisms from different populations. AIM The aim of the present work is to assess the genetic polymorphism and forensic applicability of 57 InDels from the Yi ethnic group and explore the genetic background of this group. SUBJECTS AND METHODS A total sample of 122 unrelated individuals of Yi group from the Yunnan province were genotyped by the AGCU indel 60 Kit. Multiplex population genetic analyses on the same 57 InDels were carried out among the Yunnan Yi group and 29 reference populations. RESULTS The average allele frequency of these loci in the Yi ethnic group was 0.485. Heterozygosity, polymorphism information content, and the power of discrimination were 0.477, 0.362, and 0.612, respectively. The combined power of discrimination and the combined power of exclusion reached to 0.99999999999999999669 and 0.999962965, respectively. The results showed that 57 InDels polymorphisms have high genetic polymorphisms in the Yi ethnic group. CONCLUSIONS The 57 InDels could be used for forensic individual identification, paternity testing, and intercontinental population discrimination, with the potential for use in biogeographic ancestry inference.
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Affiliation(s)
- Kuo Zeng
- Institute of Evidence Law and Forensic Science, China University of Political Science and Law, Beijing, China
| | - Dong Zhao
- Institute of Evidence Law and Forensic Science, China University of Political Science and Law, Beijing, China
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Chen M, Cui W, Bai X, Fang Y, Yao H, Zhang X, Lei F, Zhu B. Comprehensive evaluations of individual discrimination, kinship analysis, genetic relationship exploration and biogeographic origin prediction in Chinese Dongxiang group by a 60-plex DIP panel. Hereditas 2023; 160:14. [PMID: 36978173 PMCID: PMC10052841 DOI: 10.1186/s41065-023-00271-2] [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: 11/23/2022] [Accepted: 02/22/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Dongxiang group, as an important minority, resides in Gansu province which is located at the northwest China, forensic detection system with more loci needed to be studied to improve the application efficiency of forensic case investigation in this group. METHODS A 60-plex system including 57 autosomal deletion/insertion polymorphisms (A-DIPs), 2 Y chromosome DIPs (Y-DIPs) and the sex determination locus (Amelogenin) was explored to evaluate the forensic application efficiencies of individual discrimination, kinship analysis and biogeographic origin prediction in Gansu Dongxiang group based on the 60-plex genotype results of 233 unrelated Dongxiang individuals. The 60-plex genotype results of 4582 unrelated individuals from 33 reference populations in five different continents were also collected to analyze the genetic background of Dongxiang group and its genetic relationships with other continental populations. RESULTS The system showed high individual discrimination power, as the cumulative power of discrimination (CPD), cumulative power of exclusion (CPE) for trio and cumulative match probability (CMP) values were 0.99999999999999999999997297, 0.999980 and 2.7029E- 24, respectively. The system could distinguish 98.12%, 93.78%, 82.18%, 62.35% and 39.32% of full sibling pairs from unrelated individual pairs, when the likelihood ratio (LR) limits were set as 1, 10, 100, 1000 and 10,000 based on the simulated family samples, respectively. Additionally, Dongxiang group had the close genetic distances with populations in East Asia, especially showed the intimate genetic relationships with Chinese Han populations, which were concluded from the genetic affinities and genetic background analyses of Dongxiang group and 33 reference populations. In terms of the effectiveness of biogeographic origin inference, different artificial intelligent algorithms possessed different efficacies. Among them, the random forest (RF) and extreme gradient boosting (XGBoost) algorithm models could accurately predict the biogeographic origins of 99.7% and 90.59% of three and five continental individuals, respectively. CONCLUSION This 60-plex system had good performance for individual discrimination, kinship analysis and biogeographic origin prediction in Dongxiang group, which could be used as a powerful tool for case investigation.
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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, 510515, China
| | - Wei Cui
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Xiaole Bai
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Yating Fang
- School of Basic Medical Sciences, Anhui Medical University, Hefei, 230031, Anhui, China
| | - Hongbin Yao
- Belt and Road Research Center for Forensic Molecular Anthropology, Key Laboratory of Evidence Science of Gansu Province, Gansu University of Political Science and Law, Lanzhou, 730070, China
| | - Xingru Zhang
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710004, China
| | - Fanzhang Lei
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Bofeng Zhu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China.
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710004, China.
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Short Insertion and Deletion Discoveries via Whole-Genome Sequencing of 101 Thoroughbred Racehorses. Genes (Basel) 2023; 14:genes14030638. [PMID: 36980910 PMCID: PMC10048024 DOI: 10.3390/genes14030638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 02/28/2023] [Accepted: 03/02/2023] [Indexed: 03/08/2023] Open
Abstract
Thoroughbreds are some of the most famous racehorses worldwide and are currently animals of high economic value. To understand genomic variability in Thoroughbreds, we identified genome-wide insertions and deletions (INDELs) and obtained their allele frequencies in this study. INDELs were obtained from whole-genome sequencing data of 101 Thoroughbred racehorses by mapping sequence reads to the horse reference genome. By integrating individual data, 1,453,349 and 113,047 INDELs were identified in the autosomal (1–31) and X chromosomes, respectively, while 18 INDELs were identified on the mitochondrial genome, totaling 1,566,414 INDELs. Of those, 779,457 loci (49.8%) were novel INDELs, while 786,957 loci (50.2%) were already registered in Ensembl. The sizes of diallelic INDELs ranged from −286 to +476, and the majority, 717,736 (52.14%) and 220,672 (16.03%), were 1-bp and 2-bp variants, respectively. Numerous INDELs were found to have lower frequencies of alternative (Alt) alleles. Many rare variants with low Alt allele frequencies (<0.5%) were also detected. In addition, 5955 loci were genotyped as having a minor allele frequency of 0.5 and being heterogeneous genotypes in all the horses. While short-read sequencing and its mapping to reference genome is a simple way of detecting variants, fake variants may be detected. Therefore, our data help to identify true variants in Thoroughbred horses. The INDEL database we constructed will provide useful information for genetic studies and industrial applications in Thoroughbred horses, including a gene-editing test for gene-doping control and a parentage test using INDELs for horse registration and identification.
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Huang S, Sheng M, Li Z, Li K, Chen J, Wu J, Wang K, Shi C, Ding H, Zhou H, Ma L, Yang J, Pu Y, Yu Y, Chen F, Chen P. Inferring bio-geographical ancestry with 35 microhaplotypes. Forensic Sci Int 2022; 341:111509. [DOI: 10.1016/j.forsciint.2022.111509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 10/04/2022] [Accepted: 10/30/2022] [Indexed: 11/24/2022]
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