1
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You H, Lee SD, Cho S. A machine learning approach for estimating Eastern Asian origins from massive screening of Y chromosomal short tandem repeats polymorphisms. Int J Legal Med 2025; 139:531-540. [PMID: 39775035 PMCID: PMC11850560 DOI: 10.1007/s00414-024-03406-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Accepted: 12/26/2024] [Indexed: 01/11/2025]
Abstract
Inferring the ancestral origin of DNA evidence recovered from crime scenes is crucial in forensic investigations, especially in the absence of a direct suspect match. Ancestry informative markers (AIMs) have been widely researched and commercially developed into panels targeting multiple continental regions. However, existing forensic ancestry inference panels typically group East Asian individuals into a homogenous category without further differentiation. In this study, we screened Y chromosomal short tandem repeat (Y-STR) haplotypes from 10,154 Asian individuals to explore their genetic structure and generate an ancestry inference tool through a machine learning (ML) approach. Our research identified distinct genetic separations between East Asians and their neighboring Southwest Asians, with tendencies of northern and southern differentiation observed within East Asian populations. All machine learning models developed in this study demonstrated high accuracy, with the Asian classification model achieving an optimal performance of 82.92% and the East Asian classification model reaching 84.98% accuracy. This work not only deepens the understanding of genetic substructures within Asian populations but also showcases the potential of ML in forensic ancestry inference using extensive Y-STR data. By employing computational methods to analyze intricate genetic datasets, we can enhance the resolution of ancestry in forensic contexts involving Asian populations.
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Affiliation(s)
- Haeun You
- Department of Forensic Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Soong Deok Lee
- Department of Forensic Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Institute of Forensic and Anthropological Science, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Sohee Cho
- Institute of Forensic and Anthropological Science, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
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2
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Cai M, Li S, Zhang X, Xie W, Shi J, Yuan X, Yao J, Zhu B. Ancestral Information Analysis of Chinese Korean Ethnic Group via a Novel Multiplex DIP System. J Mol Evol 2023; 91:922-934. [PMID: 38006428 DOI: 10.1007/s00239-023-10143-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 11/07/2023] [Indexed: 11/27/2023]
Abstract
Deletion/insertion polymorphism (DIP) is one of the more promising genetic markers in the field of forensic genetics for personal identification and biogeographic ancestry inference. In this research, we used an in-house developed ancestry-informative marker-DIP system, including 56 autosomal diallelic DIPs, three Y-chromosomal DIPs, and an Amelogenin gene, to analyze the genetic polymorphism and ancestral composition of the Chinese Korean group, as well as to explore its genetic relationships with the 26 reference populations. The results showed that this novel panel exhibited high genetic polymorphism in the studied Korean group and could be effectively applied for forensic individual identification in the Korean group. In addition, the results of multiple population genetic analyses indicated that the ancestral component of the Korean group was dominated by northern East Asia. Moreover, the Korean group was more closely related to the East Asian populations, especially to the Japanese population in Tokyo. This study enriched the genetic data of the Korean ethnic group in China and provided information on the ancestry of the Korean group from the perspective of population genetics.
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Affiliation(s)
- Meiming Cai
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Shuanglin Li
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, China
| | - Xingru Zhang
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shanxi, China
| | - Weibing Xie
- School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Jianfeng Shi
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shanxi, China
| | - Xi Yuan
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Jun Yao
- Department of Forensic Genetics, School of Forensic Medicine, China Medical University, Shenyang, Liaoning, China.
| | - Bofeng Zhu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China.
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3
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Fan H, Zeng Y, Wu W, Liu H, Xu Q, Du W, Hao H, Liu C, Ren W, Wu W, Chen L, Liu C. The Y-STR landscape of coastal southeastern Han: Forensic characteristics, haplotype analyses, mutation rates, and population genetics. Electrophoresis 2021; 42:1578-1593. [PMID: 34018209 DOI: 10.1002/elps.202100037] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 04/16/2021] [Accepted: 05/15/2021] [Indexed: 11/09/2022]
Abstract
The Y-STR landscape of Coastal Southeastern Han (CSEH) living in Chinese southeast areas (including Guangdong, Fujian, and Zhejiang provinces) is still unclear. We investigated 62 Y-STR markers in a reasonably large number of 1021 unrelated males and 1027 DNA-confirmed father-son pairs to broaden the genetic backgrounds of CSEH. In total, 85 null alleles, 121 off-ladder alleles, and 95 copy number variants were observed, and 1012 distinct haplotypes were determined with the overall HD and DC values of 0.999974 and 0.9912. We observed 369 mutations in 76 099 meiotic transfers, and the average estimated Y-STR mutation rate was 4.85 × 10-3 (95% CI, 4.4 × 10-3 -5.4 × 10-3 ). The Spearman correlation analyses indicated that GD values (R2 = 0.6548) and average allele sizes (R2 = 0.5989) have positive correlations with Y-STR mutation rates. Our RM Y-STR set including 8 candidate RM Y-STRs, of which DYS534, DYS630, and DYS713 are new candidates in CSEH, distinguished 18.52% of father-son pairs. This study also clarified the population structures of CSEH which isolated in population-mixed South China relatively. The strategy, SM Y-STRs for familial searching and RM Y-STRs for individual identification regionally, could be applicable based on enough knowledge of the Y-STR mutability of different populations.
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Affiliation(s)
- Haoliang Fan
- School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Ying Zeng
- School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Weiwei Wu
- Zhejiang Key Laboratory of Forensic Science and Technology, Institute of Forensic Science of Zhejiang Provincial Public Security Bureau, Hangzhou, P. R. China
| | - Hong Liu
- Guangzhou Forensic Science Institute, Guangzhou, P. R. China
| | - Quyi Xu
- Guangzhou Forensic Science Institute, Guangzhou, P. R. China
| | - Weian Du
- School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Honglei Hao
- Zhejiang Key Laboratory of Forensic Science and Technology, Institute of Forensic Science of Zhejiang Provincial Public Security Bureau, Hangzhou, P. R. China
| | - Changhui Liu
- Guangzhou Forensic Science Institute, Guangzhou, P. R. China
| | - Wenyan Ren
- Zhejiang Key Laboratory of Forensic Science and Technology, Institute of Forensic Science of Zhejiang Provincial Public Security Bureau, Hangzhou, P. R. China
| | - Weibin Wu
- School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Ling Chen
- School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Chao Liu
- School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China.,Guangzhou Forensic Science Institute, Guangzhou, P. R. China
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4
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Luo C, Duan L, Li Y, Xie Q, Wang L, Ru K, Nazir S, Jawad M, Zhao Y, Wang F, Du Z, Peng D, Wen SQ, Qiu P, Fan H. Insights From Y-STRs: Forensic Characteristics, Genetic Affinities, and Linguistic Classifications of Guangdong Hakka and She Groups. Front Genet 2021; 12:676917. [PMID: 34108995 PMCID: PMC8181459 DOI: 10.3389/fgene.2021.676917] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 04/06/2021] [Indexed: 12/02/2022] Open
Abstract
Guangdong province is situated in the south of China with a population size of 113.46 million. Hakka is officially recognized as a branch of Han Chinese, and She is the official minority group in mainland China. There are approximately 25 million Hakka people who mainly live in the East and North regions of China, while there are only 0.7 million She people. The genetic characterization and forensic parameters of these two groups are poorly defined (She) or still need to be explored (Hakka). In this study, we have genotyped 475 unrelated Guangdong males (260 Hakka and 215 She) with Promega PowerPlex® Y23 System. A total of 176 and 155 different alleles were observed across all 23 Y-STRs for Guangdong Hakka (with a range of allele frequencies from 0.0038 to 0.7423) and Guangdong She (0.0047–0.8605), respectively. The gene diversity ranged from 0.4877 to 0.9671 (Guangdong Hakka) and 0.3277–0.9526 (Guangdong She), while the haplotype diversities were 0.9994 and 0.9939 for Guangdong Hakka and Guangdong She, with discrimination capacity values of 0.8885 and 0.5674, respectively. With reference to geographical and linguistic scales, the phylogenetic analyses showed us that Guangdong Hakka has a close relationship with Southern Han, and the genetic pool of Guangdong Hakka was influenced by surrounding Han populations. The predominant haplogroups of the Guangdong She group were O2-M122 and O2a2a1a2-M7, while Guangdong She clustered with other Tibeto-Burman language-speaking populations (Guizhou Tujia and Hunan Tujia), which shows us that the Guangdong She group is one of the branches of Tibeto-Burman populations and the Huonie dialect of She languages may be a branch of Tibeto-Burman language families.
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Affiliation(s)
- Chunfang Luo
- School of Forensic Medicine, Southern Medical University, Guangzhou, China.,Heyuan Municipal Public Security Bureau, Heyuan, China
| | - Lizhong Duan
- Beijing Municipal Public Security Bureau, Beijing, China
| | - Yanning Li
- School of Forensic Medicine, Southern Medical University, Guangzhou, China.,School of Basic Medicine, Gannan Medical University, Ganzhou, China
| | - Qiqian Xie
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Lingxiang Wang
- Institute of Archaeological Science, Fudan University, Shanghai, China
| | - Kai Ru
- Institute of Archaeological Science, Fudan University, Shanghai, China
| | - Shahid Nazir
- Department of Forensic Sciences, University of Health Sciences, Lahore, Pakistan
| | - Muhammad Jawad
- Department of Forensic Sciences, University of Health Sciences, Lahore, Pakistan
| | - Yifeng Zhao
- Nanjing Zhenghong Judicial Identification Institute, Nanjing, China
| | - Fenfen Wang
- First Clinical Medical College, Hainan Medical University, Haikou, China
| | - Zhengming Du
- First Clinical Medical College, Hainan Medical University, Haikou, China
| | - Dehua Peng
- Heyuan Municipal Public Security Bureau, Heyuan, China
| | - Shao-Qing Wen
- Institute of Archaeological Science, Fudan University, Shanghai, China
| | - Pingming Qiu
- School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Haoliang Fan
- School of Forensic Medicine, Southern Medical University, Guangzhou, China.,Institute of Archaeological Science, Fudan University, Shanghai, China.,School of Basic Medicine and Life Science, Hainan Medical University, Haikou, China
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5
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Wang Y, Dang Z, Zhang G, Li S, Liu Q, Li C, Hou X, Li H, Chen S, Cui W, Wang D, Kong X, Man D. Genetic diversity and haplotype structure of 27 Y-STR loci in a Han population from Jining, Shandong province, eastern China. Forensic Sci Int Genet 2019; 42:e25-e26. [PMID: 31230972 DOI: 10.1016/j.fsigen.2019.06.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 05/13/2019] [Accepted: 06/13/2019] [Indexed: 12/09/2022]
Affiliation(s)
- Yequan Wang
- Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Forensic Science Center of Jining Medical University, Jining, Shandong, PR China.
| | - Zhen Dang
- Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Forensic Science Center of Jining Medical University, Jining, Shandong, PR China
| | - Guoan Zhang
- Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Forensic Science Center of Jining Medical University, Jining, Shandong, PR China
| | - Shuyue Li
- Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Forensic Science Center of Jining Medical University, Jining, Shandong, PR China
| | - Qi Liu
- Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Forensic Science Center of Jining Medical University, Jining, Shandong, PR China
| | - Changzheng Li
- Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Forensic Science Center of Jining Medical University, Jining, Shandong, PR China
| | - Xiudi Hou
- Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Forensic Science Center of Jining Medical University, Jining, Shandong, PR China
| | - Haibin Li
- Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Forensic Science Center of Jining Medical University, Jining, Shandong, PR China
| | - Su Chen
- Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Forensic Science Center of Jining Medical University, Jining, Shandong, PR China.
| | - Wen Cui
- Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Forensic Science Center of Jining Medical University, Jining, Shandong, PR China.
| | - Dan Wang
- Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Jining, Shandong, PR China; College of Pharmaceutical Science, Zhejiang University, Hangzhou, Zhejiang, PR China
| | - Xia Kong
- The First People's Hospital Affiliated to Jining Medical University, Jining, Shandong, PR China
| | - Dongmei Man
- Affiliated Hospital of Jining Medical University, Jining, Shandong, PR China
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