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Tan M, Xue J, Wu Q, Zheng Y, Liu G, Zhang R, Wu M, Song J, Xiao Y, Chen D, Lv M, Liao M, Qu S, Liang W. Improving DNA mixtures analysis using compound markers composed of InDels and SNPs screened from the whole genome with next-generation sequencing. Electrophoresis 2024; 45:463-473. [PMID: 37946554 DOI: 10.1002/elps.202300195] [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: 09/04/2023] [Revised: 10/23/2023] [Accepted: 10/26/2023] [Indexed: 11/12/2023]
Abstract
Next-generation sequencing (NGS) allows for better identification of insertion and deletion polymorphisms (InDels) and their combination with adjacent single nucleotide polymorphisms (SNPs) to form compound markers. These markers can improve the polymorphism of microhaplotypes (MHs) within the same length range, and thus, boost the efficiency of DNA mixture analysis. In this study, we screened InDels and SNPs across the whole genome and selected highly polymorphic markers composed of InDels and/or SNPs within 300 bp. Further, we successfully developed and evaluated an NGS-based panel comprising 55 loci, of which 24 were composed of both SNPs and InDels. Analysis of 124 unrelated Southern Han Chinese revealed an average effective number of alleles (Ae ) of 7.52 for this panel. The cumulative power of discrimination and cumulative probability of exclusion values of the 55 loci were 1-2.37 × 10-73 and 1-1.19 × 10-28 , respectively. Additionally, this panel exhibited high allele detection rates of over 97% in each of the 21 artificial mixtures involving from two to six contributors at different mixing ratios. We used EuroForMix to calculate the likelihood ratio (LR) and evaluate the evidence strength provided by this panel, and it could assess evidence strength with LR, distinguishing real and noncontributors. In conclusion, our panel holds great potential for detecting and analyzing DNA mixtures in forensic applications, with the capability to enhance routine mixture analysis.
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Affiliation(s)
- Mengyu Tan
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Jiaming Xue
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Qiushuo Wu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Yazi Zheng
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Guihong Liu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Ranran Zhang
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Mengna Wu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Jinlong Song
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Yuanyuan Xiao
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Dezhi Chen
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Meili Lv
- Department of Immunology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Miao Liao
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Shengqiu Qu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Weibo Liang
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, P. R. China
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Yuan X, Wang X, Lan Q, Li S, Lin Y, Zhao M, Xu H, Lei F, Shen C, Zhu B. Using two self-developed InDel panels to explore forensic traits and ancestral components in the Hui group. Genomics 2024; 116:110756. [PMID: 38061479 DOI: 10.1016/j.ygeno.2023.110756] [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: 08/08/2023] [Revised: 11/05/2023] [Accepted: 12/03/2023] [Indexed: 12/30/2023]
Abstract
To address the challenges faced by forensic examiners in degraded DNA analysis, we have developed two different panels for various forensic applications, encompassing an AIM-InDel panel for ancestry inference and a Multi-InDel panel for individual identification, respectively. Herein, the efficiencies of these two panels were tested in the Chinese Hui group. By calculating forensic parameters and simulating family relationships, we verified that the Multi-InDel panel could be an effective tool for individual identification, paternity testing, and could assist in kinship identification in the Hui group. For full siblings, the true positive rate of kinship discrimination was 96.553%, when the threshold of log10LR was 1. The cumulative probability of matching as well as cumulative probability of exclusion were 3.8117 × 10-26 and 0.999999722, respectively. Meanwhile, we found that the AIM-InDel panel was effective for bio-geographic ancestry inference, with the vast majority of loci contributing significantly to distinguish East Asian, African, and European populations. By studying the population structure of the Hui ethnic minority, the genetic distance to the Beijing Han population was the closest among the 26 reference populations, which was similar to previous reports. In summary, we have developed two panels which can be effectively applied to the Hui group for individual identification, parentage testing and bio-geographic ancestry inference.
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Affiliation(s)
- Xi Yuan
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Xi Wang
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Qiong Lan
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China; Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Shuanglin Li
- Department of Anatomy and Histology, School of Basic Medical Sciences, Shenzhen University, Shenzhen 518060, China
| | - Yifeng Lin
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Ming Zhao
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Hui Xu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Fanzhang Lei
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Chunmei Shen
- Department of Clinical Laboratory, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, China.
| | - Bofeng Zhu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, 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, Shaanxi, China.
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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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Kwon YL, Lee EY, Kim BM, Joo SM, Jeong KS, Chun BW, Lee YH, Park KW, Shin KJ. Application of a custom haplotype caller to analyze sequence-based data of 56 microhaplotypes. Forensic Sci Int Genet 2022; 61:102778. [PMID: 36166997 DOI: 10.1016/j.fsigen.2022.102778] [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: 03/30/2022] [Revised: 08/23/2022] [Accepted: 09/16/2022] [Indexed: 11/18/2022]
Abstract
Microhaplotypes (microhaps) are recently introduced markers that aim to complement the limitations of conventional forensic markers such as short tandem repeats (STRs) and single nucleotide polymorphisms (SNPs). With the potential of microhaps in forensics becoming clearer through massively parallel sequencing (MPS), MPS-based studies on microhaps are being actively reported. However, simpler workflow schemes for the generation and analysis of MPS data are still required to facilitate the practical application of MPS in forensics. In this study, we developed an in-house MPS panel that simultaneously amplifies 56 microhaps and a custom haplotype caller, Visual Microhap. The developed tool works on a web browser and provides four analysis options to extract SNP-based haplotypes from sequence-based data obtained by STRait Razor 3.0. To demonstrate the utility of the MPS panel and data analysis workflow scheme, we also analyzed 56 microhaps of 286 samples from four populations (African-American, Caucasian, Hispanic, and Korean). The average effective number of alleles (Ae) for the four groups was 3.45, ranging from 1.74 to 6.98. Forensic statistical parameters showed that this microhap panel is more powerful than conventional autosomal STRs for human identification. Meanwhile, the 56-plex panel mostly comprised microhaps with high Ae; however, the four populations were grossly distinguishable from each other by cluster analysis. Consequently, the developed in-house MPS panel for 56 microhaps and the adopted workflow using open-source tools can increase the utility of microhap MPS in forensic research and practice.
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Affiliation(s)
- Ye-Lim Kwon
- Department of Forensic Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University, Seoul 03722, Republic of Korea.
| | - Eun Young Lee
- Department of Forensic Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea. -silver02-@hanmail.net
| | - Bo Min Kim
- Department of Forensic Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University, Seoul 03722, Republic of Korea.
| | - Su Min Joo
- Department of Forensic Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University, Seoul 03722, Republic of Korea.
| | - Kyu Sik Jeong
- Forensic DNA division, National Forensic Service, Wonju-si, Gangwon-do 26460, Republic of Korea.
| | - Byung Won Chun
- DNA analysis Division, National Forensic Service Daejeon Institute, Daejeon 34054, Republic of Korea.
| | - Yang Han Lee
- Forensic DNA division, National Forensic Service, Wonju-si, Gangwon-do 26460, Republic of Korea.
| | - Ki Won Park
- Forensic DNA division, National Forensic Service, Wonju-si, Gangwon-do 26460, Republic of Korea.
| | - Kyoung-Jin Shin
- Department of Forensic Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University, Seoul 03722, Republic of Korea.
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Lan Q, Zhao C, Chen C, Xu H, Fang Y, Yao H, Zhu B. Forensic Feature Exploration and Comprehensive Genetic Insights Into Yugu Ethnic Minority and Northern Han Population via a Novel NGS-Based Marker Set. Front Genet 2022; 13:816737. [PMID: 35601485 PMCID: PMC9121381 DOI: 10.3389/fgene.2022.816737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 03/08/2022] [Indexed: 12/02/2022] Open
Abstract
The MPS technology has expanded the potential applications of DNA markers and increased the discrimination power of the targeted loci by taking variations in their flanking regions into consideration. Here, a collection of nuclear and extranuclear DNA markers (totally six kinds of nuclear genetic markers and mtDNA hypervariable region variations) were comprehensively and systematically assessed for polymorphism detections, further employed to dissect the population backgrounds in the Yugu ethnic group from Gansu province (Yugu) and Han population from the Inner Mongolia Autonomous Region (NMH) of China. The elevated efficiencies of the marker set in separating full sibling and challenging half sibling determination cases in parentage tests (iiSNPs), as well as predicting ancestry origins of unknown individuals from at least four continental populations (aiSNPs) and providing informative characteristic-related clues for Chinese populations (piSNPs) are highlighted in the present study. To sum up, different sets of DNA markers revealed sufficient effciencies to serve as promising tools in forensic applications. Genetic insights from the perspectives of autosomal DNA, Y chromosomal DNA, and mtDNA variations yielded that the Yugu ethnic group was genetically close related to the Han populations of the northern region. But we admit that more reference populations (like Mongolian, Tibetan, Hui, and Tu) should be incorporated to gain a refined genetic background landscape of the Yugu group in future studies.
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Affiliation(s)
- Qiong Lan
- 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
| | - Congying Zhao
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Chong Chen
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
- Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
| | - Hui Xu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Yating Fang
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Hongbing Yao
- Belt and Road Research Center for Forensic Molecular Anthropology Gansu University of Political Science and Law, Lanzhou, 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
- Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Bofeng Zhu,
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Microhaplotype and Y-SNP/STR (MY): A novel MPS-based system for genotype pattern recognition in two-person DNA mixtures. Forensic Sci Int Genet 2022; 59:102705. [DOI: 10.1016/j.fsigen.2022.102705] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Revised: 03/10/2022] [Accepted: 04/10/2022] [Indexed: 12/13/2022]
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Jin XY, Liu YF, Cui W, Chen C, Zhang XR, Huang J, Zhu BF. Development a multiplex panel of AISNPs, multi-allelic InDels, microhaplotypes and Y-SNP/InDel loci for multiple forensic purposes via the NGS. Electrophoresis 2021; 43:632-644. [PMID: 34859475 DOI: 10.1002/elps.202100253] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 11/11/2021] [Accepted: 11/16/2021] [Indexed: 11/09/2022]
Abstract
Recently, next generation sequencing showed the promising application value in forensic research. In this study, we constructed a multiplex system of different molecular genetic markers based on the previous selected AISNPs, multi-allelic InDels, microhaplotypes and Y-SNP/InDel loci and evaluated forensic efficiencies of the system in Chinese Shaanxi Han, Hui and Mongolian groups via the NGS platform. Ancestry informative analyses of Shaanxi Han, Hui and Mongolian groups revealed that most Mongolian individuals could be differentiated from Shaanxi Hans and Huis based on the selected AISNPs. Multi-allelic InDels and microhaplotypes showed the multiple allele variations and possessed relatively high genetic polymorphisms in these three groups, indicating these loci could also provide higher forensic efficiencies for individual identification and paternity testing. Based on Y-SNPs, different haplogroup distributions were observed among Shaanxi Han, Hui and Mongolian groups. In conclusion, the self-developed system could be used to simultaneously carry out the individual identification, paternity analysis, mixture deconvolution, forensic ancestry information analysis and Y chromosomal haplogroup inference, which could provide more investigative clues in forensic practices. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Xiao-Ye Jin
- Xi'an Jiaotong University Health Science Center, Xi'an, P. R. China.,Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Yan-Fang Liu
- Multi-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Wei Cui
- Multi-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
| | - Chong Chen
- Xi'an Jiaotong University Health Science Center, Xi'an, P. R. China
| | - Xing-Ru Zhang
- Xi'an Jiaotong University Health Science Center, Xi'an, P. R. China
| | - Jiang Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, P. R. China
| | - Bo-Feng Zhu
- Multi-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, P. R. China
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Special Issue "Forensic Genetics and Genomics". Genes (Basel) 2021; 12:genes12020158. [PMID: 33503983 PMCID: PMC7912074 DOI: 10.3390/genes12020158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Accepted: 01/23/2021] [Indexed: 11/16/2022] Open
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