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Wang CZ, Wei LH, Zhang JS, Yu XE, Bai RF, Li H, Shi MS, Ma SH. Forensic characteristics and genetic substructure analysis of the Handan Han population, Northern China. Ann Hum Biol 2023; 50:123-125. [PMID: 36803234 DOI: 10.1080/03014460.2023.2181985] [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: 10/07/2022] [Revised: 12/22/2022] [Accepted: 01/27/2023] [Indexed: 02/22/2023]
Abstract
We analysed the forensic characteristics and substructure of the Handan Han population based on 36 Y-STR (short tandem repeat) and Y-SNP (single nucleotide polymorphism) markers. The two most dominant haplogroups in Handan Han, O2a2b1a1a1-F8 (17.95%) and O2a2b1a2a1a (21.51%), and their abundant downstream branches, reflected the strong expansion of the precursor of the Hans in Handan. The present results enrich the forensic database and explore the genetic relationships between Handan Han and other neighbouring and/or linguistically close populations, which suggests that the current concise overview of the Han intricate substructure remains oversimplified.
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Affiliation(s)
- Chi-Zao Wang
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Lan-Hai Wei
- School of Ethnology and Anthropology, Inner Mongolia Normal University, Hohhot, China
| | | | - Xue-Er Yu
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China
| | - Ru-Feng Bai
- Criminal Justice College of China University of Political Science and Law, Beijing, China
| | - Hui Li
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China
- Shanxi Academy of Advanced Research and Innovation, Fudan-Datong Institute of Chinese Origin, Datong, China
| | - Mei-Sen Shi
- Criminal Justice College of China University of Political Science and Law, Beijing, China
| | - Shu-Hua Ma
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
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Tao R, Li M, Chai S, Xia R, Qu Y, Yuan C, Yang G, Dong X, Bian Y, Zhang S, Li C. Developmental validation of a 381 Y-chromosome SNP panel for haplogroup analysis in the Chinese populations. Forensic Sci Int Genet 2023; 62:102803. [PMID: 36368220 DOI: 10.1016/j.fsigen.2022.102803] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 09/19/2022] [Accepted: 10/26/2022] [Indexed: 01/15/2023]
Abstract
Y-chromosome single nucleotide polymorphism (Y-SNP) shows great variation in geographical distribution and population heterogeneity and can be used to map population genetics around the world. Massive parallel sequencing (MPS) methodology enables high-resolution Y-SNP haplogrouping for a certain male and is widely used in forensic genetics and evolutionary studies. In this present study, we used MPS to develop a customized 381 Y-SNP panel (SifaMPS 381 Y-SNP panel) to investigate the basic structure and subbranches of the haplogroup tree of the Chinese populations. The SifaMPS 381 Y-SNP panel covers all the Y-SNPs from our previously designed 183 Y-SNP panel and additional SNPs under the predominant haplogroups in the Chinese populations based on certain criteria. We also evaluated the sequencing matrix, concordance, sensitivity, repeatability of this panel and the ability to analyze mixed and case-type samples based on the Illumina MiSeq System. The results demonstrated that the novel MPS Y-SNP panel possessed good sequencing performance and generated accurate Y-SNP genotyping results. Although the recommended DNA input was greater than 1.25 ng, we observed that a lower DNA amount could still be used to analyze haplogroups correctly. In addition, this panel could handle mixed samples and common case-type samples and had higher resolution among Chinese Han males than previously reported. In conclusion, the SifaMPS 381 Y-SNP panel showed an overall good performance and offers a better choice for Y-SNP haplogrouping of the Chinese population, thereby facilitating paternal lineage classification, familial searching and other forensic applications.
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Affiliation(s)
- Ruiyang Tao
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, P.R. China, Shanghai 200063, China
| | - Min Li
- School of Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, Shandong, China
| | - Siyu Chai
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, P.R. China, Shanghai 200063, China; Department of Forensic Medicine, Zunyi Medical University, Zunyi 563099, Guizhou, China
| | - Ruocheng Xia
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, P.R. China, Shanghai 200063, China
| | - Yiling Qu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, P.R. China, Shanghai 200063, China; Department of Forensic Science, Medical School of Soochow University, Suzhou 215123, China
| | - Chunyan Yuan
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, P.R. China, Shanghai 200063, China; Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot 010110, China
| | - Guangyuan Yang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, P.R. China, Shanghai 200063, China; Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot 010110, China
| | - Xinyu Dong
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, P.R. China, Shanghai 200063, China; School of Forensic Medicine, Shanxi Medical University, Jinzhong 030619, Shanxi, China
| | - Yingnan Bian
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, P.R. China, Shanghai 200063, China
| | - Suhua Zhang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, P.R. China, Shanghai 200063, China.
| | - Chengtao Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, P.R. China, Shanghai 200063, China.
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Fan GY. Assessing the factors influencing the performance of machine learning for classifying haplogroups from Y-STR haplotypes. Forensic Sci Int 2022; 340:111466. [PMID: 36150277 DOI: 10.1016/j.forsciint.2022.111466] [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: 07/28/2022] [Revised: 09/01/2022] [Accepted: 09/12/2022] [Indexed: 11/29/2022]
Abstract
Two distinct genetic markers, single nucleotide polymorphisms (Y-SNPs) and short tandem repeats (Y-STRs), exist simultaneously in the non-recombining portion of the Y chromosome. Because of their different rates of mutation, Y-STRs and Y-SNPs play distinct roles in forensic and evolutionary genetics. Current approaches to infer haplogroup status rely on genotyping lots of Y-SNP loci. Given the relationship between haplotype and haplogroup of a Y chromosome, a cost-effective strategy of Y-STRs typing had an advantage in haplogroup prediction. Many machine learning algorithms have sprung up for assigning a Y-STR haplotype to a haplogroup. However, a series of issues must be solved before the using of machine learning method in practice. Thus, the k-nearest neighbor (kNN) classifier was built respectively based on different situations in this study. We assessed different factors which may influence the performance of the kNN prediction model for classifying haplogroups. The training set was based on a diverse ground-truth data set comprising Y-STR haplotypes and corresponding Y-SNP haplogroups. Our results showed that combining different levels of haplogroups into the observations or transracial prediction was impractical. Moreover, using more slow mutation Y-STR loci in the category is good for promoting classification accuracy. The preconditions for an effective and accurate haplogroup assignment by the kNN classifier were revealed.
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Affiliation(s)
- Guang-Yao Fan
- Forensic Center, College of Medicine, Shaoxing University, Shaoxing 312000, China.
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Genetic insights into the paternal admixture history of Chinese Mongolians via high-resolution customized Y-SNP SNaPshot panels. Forensic Sci Int Genet 2021; 54:102565. [PMID: 34332322 DOI: 10.1016/j.fsigen.2021.102565] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 07/10/2021] [Accepted: 07/15/2021] [Indexed: 12/12/2022]
Abstract
The Mongolian people, one of the Mongolic-speaking populations, are native to the Mongolian Plateau in North China and southern Siberia. Many ancient DNA studies recently reported extensive population transformations during the Paleolithic to historic periods in this region, while little is known about the paternal genetic legacy of modern geographically different Mongolians. Here, we genotyped 215 Y-chromosomal single nucleotide polymorphisms (Y-SNPs) and 37 Y-chromosomal short tandem repeats (Y-STRs) among 679 Mongolian individuals from Hohhot, Hulunbuir, and Ordos in North China using the AGCU Y37 kit and our developed eight Y-SNP SNaPshot panels (including two panels first reported herein). The C-M130 Y-SNP SNaPshot panel defines 28 subhaplogroups, and the N/O/Q complementary Y-SNP SNaPshot panel defines 30 subhaplogroups of N1b-F2930, N1a1a1a1a3-B197, Q-M242, and O2a2b1a1a1a4a-CTS4658, which improved the resolution our developed Y-SNP SNaPshot panel set and could be applied for dissecting the finer-scale paternal lineages of Mongolic speakers. We found a strong association between Mongolian-prevailing haplogroups and some observed microvariants among the newly generated Y-STR haplotype data, suggesting the possibility of haplogroup prediction based on the distribution of Y-STR haplotypes. We identified three main ancestral sources of the observed Mongolian-dominant haplogroups, including the local lineage of C2*-M217 and incoming lineages from other regions of southern East Asia (O2*-M122, O1b*-P31, and N1*-CTS3750) and western Eurasia (R1*-M173). We also observed DE-M145, D1*-M174, C1*-F3393, G*-M201, I-M170, J*-M304, L-M20, O1a*-M119, and Q*-M242 at relatively low frequencies (< 5.00%), suggesting a complex admixture history between Mongolians and other incoming Eurasians from surrounding regions. Genetic clustering analyses indicated that the studied Mongolians showed close genetic affinities with other Altaic-speaking populations and Sinitic-speaking Hui people. The Y-SNP haplotype/haplogroup-based genetic legacy not only revealed that the stratification among geographically/linguistically/ethnically different Chinese populations was highly consistent with the geographical division and language classification, but also demonstrated that patrilineal genetic materials could provide fine-scale genetic structures among geographically different Mongolian people, suggesting that our developed high-resolution Y-SNP SNaPshot panels have the potential for forensic pedigree searches and biogeographical ancestry inference.
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