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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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Yang C, He M, Liu C, Liu X, Lun M, Su Q, Han X, Liu H, Wang M, Chen L, Liu C. Development and validation of a custom panel including 114 InDels using massively parallel sequencing for forensic application. Electrophoresis 2023; 44:1704-1713. [PMID: 37622566 DOI: 10.1002/elps.202300044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 05/13/2023] [Accepted: 08/04/2023] [Indexed: 08/26/2023]
Abstract
Insertion/deletion polymorphisms (InDels) have particular characteristics, such as a relatively low mutation rate, small amplicon size, and no stutter artifacts when genotyped via the capillary electrophoresis platform. It would be an important complementary tool for individual identification and certain kinship analyses. At present, massively parallel sequencing (MPS) has shown excellent application value in forensic studies. Therefore, in this study, we developed a custom MPS InDel panel that contains 114 InDels [77 autosomal InDels (A-InDels), 32 X-chromosomal InDels (X-InDels), and 5 Y-chromosomal InDels) based on previous studies. To assess this panel's performance, several validation experiments were performed, including sensitivity, inhibitor, degraded DNA testing, species specificity, concordance, repeatability, case-type samples, and population studies. The results showed that the lowest DNA input was 0.25 ng. All genotypes were obtained in the presence of 80 ng/µL humic acid, 2000 µmol/L calcium, 3000 µmol/L EDTA and indigo. In degraded DNA testing, 90% of loci could be detected for 16-day-old formalin-fixed hearts. In addition, this panel has good species specificity. The values of combined power of discrimination and the combined power of exclusion for 77 A-InDels were 1-3.9951 × 10-32 and 1-4.2956 × 10-7 , respectively. The combined mean exclusion chance for 32 X-InDels was 0.99999 in trios and 0.99904 in duos. The validation results indicate that this newly developed MPS multiplex system is a robust tool for forensic applications.
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Affiliation(s)
- Chengliang Yang
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Meiyun He
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Changhui Liu
- Guangzhou Forensic Science Institute, Guangzhou, P. R. China
| | - Xueyuan Liu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Miaoqiang Lun
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Qin Su
- Guangzhou Forensic Science Institute, Guangzhou, P. R. China
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, P. R. China
| | - Xiaolong Han
- Guangzhou Forensic Science Institute, Guangzhou, P. R. China
| | - Hong Liu
- Guangzhou Forensic Science Institute, Guangzhou, P. R. China
| | - Mengge Wang
- Guangzhou Forensic Science Institute, Guangzhou, P. R. China
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, P. R. China
| | - Ling Chen
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Chao Liu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
- National Anti-Drug Laboratory Guangdong Regional Center, Guangzhou, P. R. 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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Butler JM. Recent advances in forensic biology and forensic DNA typing: INTERPOL review 2019-2022. Forensic Sci Int Synerg 2022; 6:100311. [PMID: 36618991 PMCID: PMC9813539 DOI: 10.1016/j.fsisyn.2022.100311] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
This review paper covers the forensic-relevant literature in biological sciences from 2019 to 2022 as a part of the 20th INTERPOL International Forensic Science Managers Symposium. Topics reviewed include rapid DNA testing, using law enforcement DNA databases plus investigative genetic genealogy DNA databases along with privacy/ethical issues, forensic biology and body fluid identification, DNA extraction and typing methods, mixture interpretation involving probabilistic genotyping software (PGS), DNA transfer and activity-level evaluations, next-generation sequencing (NGS), DNA phenotyping, lineage markers (Y-chromosome, mitochondrial DNA, X-chromosome), new markers and approaches (microhaplotypes, proteomics, and microbial DNA), kinship analysis and human identification with disaster victim identification (DVI), and non-human DNA testing including wildlife forensics. Available books and review articles are summarized as well as 70 guidance documents to assist in quality control that were published in the past three years by various groups within the United States and around the world.
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Affiliation(s)
- John M. Butler
- National Institute of Standards and Technology, Special Programs Office, 100 Bureau Drive, Mail Stop 4701, Gaithersburg, MD, USA
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