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Fan H, Xu Y, Zhao Y, Feng K, Hong L, Zhao Q, Lu X, Shi M, Li H, Wang L, Wen S. Development and validation of YARN: A novel SE-400 MPS kit for East Asian paternal lineage analysis. Forensic Sci Int Genet 2024; 71:103029. [PMID: 38518712 DOI: 10.1016/j.fsigen.2024.103029] [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: 07/29/2023] [Revised: 02/12/2024] [Accepted: 03/03/2024] [Indexed: 03/24/2024]
Abstract
Y-chromosomal short tandem repeat polymorphisms (Y-STRs) and Y-chromosomal single nucleotide polymorphisms (Y-SNPs) are valuable genetic markers used in paternal lineage identification and population genetics. Currently, there is a lack of an effective panel that integrates Y-STRs and Y-SNPs for studying paternal lineages, particularly in East Asian populations. Hence, we developed a novel Y-chromosomal targeted panel called YARN (Y-chromosome Ancestry and Region Network) based on multiplex PCR and a single-end 400 massive parallel sequencing (MPS) strategy, consisting of 44 patrilineage Y-STRs and 260 evolutionary Y-SNPs. A total of 386 reactions were validated for the effectiveness and applicability of YARN according to SWGDAM validation guidelines, including sensitivity (with a minimum input gDNA of 0.125 ng), mixture identification (ranging from 1:1-1:10), PCR inhibitor testing (using substances such as 50 μM hematin, 100 μM hemoglobin, 100 μM humic acid, and 2.5 mM indigo dye), species specificity (successfully distinguishing humans from other animals), repeatability study (achieved 100% accuracy), and concordance study (with 99.91% accuracy for 1121 Y-STR alleles). Furthermore, we conducted a pilot study using YARN in a cohort of 484 Han Chinese males from Huaiji County, Zhaoqing City, Guangdong, China (GDZQHJ cohort). In this cohort, we identified 52 different Y-haplogroups and 73 different surnames. We found weak to moderate correlations between the Y-haplogroups, Chinese surnames, and geographical locations of the GDZQHJ cohort (with λ values ranging from 0.050 to 0.340). However, when we combined two different categories into a new independent variable, we observed stronger correlations (with λ values ranging from 0.617 to 0.754). Overall, the YARN panel, which combines Y-STR and Y-SNP genetic markers, meets forensic DNA quality assurance guidelines and holds potential for East Asian geographical origin inference and paternal lineage analysis.
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Affiliation(s)
- Haoliang Fan
- MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China; School of Forensic Medicine, Shanxi Medical University, Taiyuan 030001, China.
| | - Yiran Xu
- Institute of Archaeological Science, Fudan University, Shanghai 200433, China.
| | - Yutao Zhao
- Public Security Bureau of Zhaoqing Municipality, Zhaoqing 526000, China.
| | - Kai Feng
- Duanzhou Branch of Zhaoqing Public Security Bureau, Zhaoqing 526060, China.
| | - Liuxi Hong
- Sihui Public Security Bureau of Guangdong Province, Zhaoqing 526299, China.
| | - Qiancheng Zhao
- Public Security Bureau of Zhaoqing Municipality, Zhaoqing 526000, China.
| | - Xiaoyu Lu
- Deepreads Biotech Company Limited, Guangzhou 510663, China.
| | - Meisen Shi
- Criminal Justice College of China University of Political Science and Law, Beijing 100088, China.
| | - Haiyan Li
- Criminal Technology Center of Guangdong Provincial Public Security Department, Guangzhou 510050, China.
| | - Lingxiang Wang
- MOE Laboratory for National Development and Intelligent Governance, Fudan University, Shanghai 200433, China.
| | - Shaoqing Wen
- MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China; Institute of Archaeological Science, Fudan University, Shanghai 200433, China; MOE Laboratory for National Development and Intelligent Governance, Fudan University, Shanghai 200433, China.
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Liu Z, Wu E, Li R, Liu J, Zang Y, Cong B, Wu R, Xie B, Sun H. Improved individual identification in DNA mixtures of unrelated or related contributors through massively parallel sequencing. Forensic Sci Int Genet 2024; 72:103078. [PMID: 38889491 DOI: 10.1016/j.fsigen.2024.103078] [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: 12/21/2023] [Revised: 06/07/2024] [Accepted: 06/11/2024] [Indexed: 06/20/2024]
Abstract
DNA mixtures are a common sample type in forensic genetics, and we typically assume that contributors to the mixture are unrelated when calculating the likelihood ratio (LR). However, scenarios involving mixtures with related contributors, such as in family murder or incest cases, can also be encountered. Compared to the mixtures with unrelated contributors, the kinship within the mixture would bring additional challenges for the inference of the number of contributors (NOC) and the construction of probabilistic genotyping models. To evaluate the influence of potential kinship on the individual identification of the person of interest (POI), we conducted simulations of two-person (2 P) and three-person (3 P) DNA mixtures containing unrelated or related contributors (parent-child, full-sibling, and uncle-nephew) at different mixing ratios (for 2 P: 1:1, 4:1, 9:1, and 19:1; for 3 P: 1:1:1, 2:1:1, 5:4:1, and 10:5:1), and performed massively parallel sequencing (MPS) using MGIEasy Signature Identification Library Prep Kit on MGI platform. In addition, in silico simulations of mixtures with unrelated and related contributors were also performed. In this study, we evaluated 1): the MPS performance; 2) the influence of multiple genetic markers on determining the presence of related contributors and inferring the NOC within the mixture; 3) the probability distribution of MAC (maximum allele count) and TAC (total allele count) based on in silico mixture profiles; 4) trends in LR values with and without considering kinship in mixtures with related and unrelated contributors; 5) trends in LR values with length- and sequence-based STR genotypes. Results indicated that multiple numbers and types of genetic markers positively influenced kinship and NOC inference in a mixture. The LR values of POI were strongly dependent on the mixing ratio. Non- and correct-kinship hypotheses essentially did not affect the individual identification of the major POI; the correct kinship hypothesis yielded more conservative LR values; the incorrect kinship hypothesis did not necessarily lead to the failure of POI individual identification. However, it is noteworthy that these considerations could lead to uncertain outcomes in the identification of minor contributors. Compared to length-based STR genotyping, using sequence-based STR genotype increases the individual identification power of the POI, concurrently improving the accuracy of mixing ratio inference using EuroForMix. In conclusion, the MGIEasy Signature Identification Library Prep kit demonstrated robust individual identification power, which is a viable MPS panel for forensic DNA mixture interpretations, whether involving unrelated or related contributors.
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Affiliation(s)
- Zhiyong Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Enlin Wu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Ran Li
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China; School of Medicine, Jiaying University, Meizhou 514015, China
| | - Jiajun Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Yu Zang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Bin Cong
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Shijiazhuang 050017, China
| | - Riga Wu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Bo Xie
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Hongyu Sun
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China.
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Cho S, Shin E, Park YG, Choi SH, Choe EK, Bae JH, Lee JE, Lee SD. A novel approach of kinship determination based on the physical length of genetically shared regions of chromosomes. Genes Genomics 2024; 46:577-587. [PMID: 38180716 PMCID: PMC11024047 DOI: 10.1007/s13258-023-01485-4] [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: 10/24/2023] [Accepted: 12/17/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND Determination of genetic relatedness between individuals plays a crucial role in resolving numerous civil cases involving familial relationships and in forensic investigation concerning missing persons. Short tandem repeats (STRs), known for their high degree of DNA polymorphism, have traditionally been the primary choice of DNA markers in genetic testing, but their application for kinships testing is limited to cases involving close kinship. SNPs have emerged as promising supplementary markers for kinship determination. Nevertheless, the challenging remains in discriminating between third-degree or more distant relatives, such as first cousins, using SNPs. OBJECTIVE To investigate a kinship analysis method for distant degree of familial relationships using high-density SNP data. METHODS A high-density SNP data from 337 individuals of Korean families using Affymetrix Axiom KORV1.0-96 Array was obtained for this study. SNPs were aligned by chromosomal positions, and identity-by-state (IBS) was determined, and then shared regions as consecutive SNPs with IBS of 1 or 2 were investigated. The physical lengths of these IBS segments were measured and summed them to create an Index, as a measure of kinship. RESULTS The kinship was determined by the physical length of shared chromosomal regions that are distinguished by each kinship. Using this method, the relationship was able be distinguished up to the fourth degree of kinship, and non-relatives were clearly distinguished from true relatives. We also found a potential for this approach to be used universally, regardless of microarray platforms for SNP genotyping and populations. CONCLUSION This method has a potential to determine the different degree of kinship between individuals and to distinguish non-relatives from true relatives, which can be of great help for practical applications in kinship determination.
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Affiliation(s)
- Sohee Cho
- Institute of Forensic and Anthropological Science, Seoul National University Medical Research Center, Seoul, South Korea
| | | | | | - Seung Ho Choi
- Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea
| | - Eun Kyung Choe
- Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea
| | - Jung Ho Bae
- Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea
| | | | - Soong Deok Lee
- Institute of Forensic and Anthropological Science, Seoul National University Medical Research Center, Seoul, South Korea.
- Department of Forensic Medicine, Seoul National University College of Medicine, Seoul, South Korea.
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Guo F, Liu Z, Long G, Zhang B, Liu D, Yu S. Performance and characterization of 94 identity-informative SNPs in Northern Han Chinese using ForenSeq ™ DNA signature prep kit. J Forensic Leg Med 2024; 103:102678. [PMID: 38522119 DOI: 10.1016/j.jflm.2024.102678] [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: 11/04/2023] [Revised: 03/05/2024] [Accepted: 03/17/2024] [Indexed: 03/26/2024]
Abstract
Target and flanking region (FR) variation at 94 identity-informative SNPs (iSNPs) are investigated in 635 Northern Han Chinese using the ForenSeq DNA Signature Prep Kit on the MiSeq FGx Forensic Genomics System. The dataset presents the following performance characteristics (average values): ≥60% bases with a quality score of 20 or higher (%≥ Q20); >700 × of depth of coverage (DoC) from both Sample Details Reports and Flanking Region Reports; >80% of effective reads; ≥60% of allele coverage ratio (ACR); and ≥70% of inter-locus balance, while some stable low-performance characteristics are also observed: low DoC at rs1736442, rs1031825, rs7041158, rs338882, rs2920816, rs1493232, rs719366, and rs2342747; high noise at rs891700; and imbalanced ACR at rs6955448 and rs338882. The average amplicon length is 69 bp, suitable for detecting degraded samples. Bioinformatic concordance achieves 99.99% between the ForenSeq Universal Analysis Software (UAS) and the Integrative Genomic Viewer (IGV) inspection. Discordance results from flanking region deletions of rs10776839, rs8078417, rs2831700, and rs1454361. Due to FR variants within amplicons detected by massively parallel sequencing (MPS), the increases in the number of unique alleles, effective alleles (Ae), and observed heterozygosity (Hobs) are 46.81%, 4.51%, and 3.29%, respectively. Twelve FR variants are first reported to dbSNP, such as rs1252699848, rs1665500714, rs1771121532, rs2097285015, rs1851671415, rs2045669877, rs2046758811, rs2044248635, rs1251308240, rs1968822112, rs1981638299, and rs1341756746. All 94 iSNPs from target and amplicon data are in Hardy-Weinberg equilibrium (HWE) and independent within autosomes. As expected, forensic parameters from the amplicon data increase significantly on the combined power of discrimination (CPD = 1 - 3.9876 × 10-38) and the combined power of exclusion (CPE = 1 - 6.6690 × 10-8). Additionally, the power of the system effectiveness (CPD = 1 - 6.7054 × 10-72 and CPE = 1 - 4.4719 × 10-20) with sequence-based 27 autosomal STRs and 94 iSNP amplicons in combination is substantially improved compared to one type of marker alone. In conclusion, we have established a traditional length-based and current sequence-based reference database with 58 STRs and 94 iSNPs in the Northern Han Chinese population. We hope these data can serve as a solid reference and foundation for forensic practice.
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Affiliation(s)
- Fei Guo
- Shenyang Medical College, Shenyang, Liaoning, 110034, PR China; Key Laboratory of Human Ethnic Specificity and Phenomics of Critical Illness in Liaoning Province, Shenyang, Liaoning, 110034, PR China; Key Laboratory of Phenomics in Shenyang City, Shenyang, Liaoning, 110034, PR China.
| | - Ze Liu
- DNA Laboratory of Forensic Science Center, Shenyang Public Security Bureau, Shenyang, Liaoning, 110002, PR China
| | - Guannan Long
- DNA Laboratory of Forensic Science Center, Shenyang Public Security Bureau, Shenyang, Liaoning, 110002, PR China
| | - Biao Zhang
- DNA Laboratory of Forensic Science Center, Shenyang Public Security Bureau, Shenyang, Liaoning, 110002, PR China
| | - Dahua Liu
- Department of Forensic Medicine, Jinzhou Medical University, Jinzhou, Liaoning, 121001, PR China
| | - Shaobo Yu
- DNA Laboratory of Forensic Science Center, Shenyang Public Security Bureau, Shenyang, Liaoning, 110002, PR China.
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Ren H, Zhang J, Yang T, Zhang X, Liu J, Chen C, Shi Y, Chen Y, Jia L, Simayijiang H, Yan J. Analysis of homozygous allele mismatches in paternity tests with massively parallel sequencing. Electrophoresis 2024; 45:480-488. [PMID: 38037297 DOI: 10.1002/elps.202300130] [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: 06/11/2023] [Revised: 09/12/2023] [Accepted: 11/08/2023] [Indexed: 12/02/2023]
Abstract
In paternity testing, short tandem repeats (STRs) allele mismatches are often detected. Nowadays, polymerase chain reaction- and capillary electrophoresis (CE)-based STR genotyping is the most commonly used method to distinguish alleles based on their length. However, it could not detect alleles of the same size with sequence differences. Massively parallel sequencing (MPS) can determine not only allele sizes but also sequences, which could explain the causes of allele mismatches. Additionally, more types of genetic markers can be detected in a single assay, which increases the discriminatory power and facilitates the analysis of paternity tests. In this study, we analyzed 11 cases with homozygous allele mismatches from routine DNA trio paternity tests using the CE platform. Samples were sequenced using the ForenSeq DNA Signature Prep Kit and the MiSeq FGx Sequencing System. The results show that of the eight father-child mismatch cases and three mother-child mismatch cases, five cases with D5S818 and D8S1179 and one case at D13S317 were classified as non-amplification. The other three cases and two cases could be defined as mutations. This study suggests that MPS-based STR genotyping can provide additional information that allows more accurate interpretation of allelic mismatches in paternity testing.
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Affiliation(s)
- He Ren
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Academy of Forensic Science, Shanghai, P. R. China
- Beijing Police College, Beijing, P. R. China
| | - Jiarong Zhang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, P. R. China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, Shanxi, P. R. China
| | - Tingting Yang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, P. R. China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, Shanxi, P. R. China
| | - Xiaomeng Zhang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, P. R. China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, Shanxi, P. R. China
| | - Jinding Liu
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, P. R. China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, Shanxi, P. R. China
| | - Chong Chen
- Beijing Tongda Shoucheng Institute of Forensic Science, Beijing, P. R. China
| | - Yan Shi
- Beijing Tongda Shoucheng Institute of Forensic Science, Beijing, P. R. China
| | - Ying Chen
- Beijing Tongda Shoucheng Institute of Forensic Science, Beijing, P. R. China
| | - Li Jia
- Beijing Tongda Shoucheng Institute of Forensic Science, Beijing, P. R. China
| | - Halimureti Simayijiang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, P. R. China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, Shanxi, P. R. China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, P. R. China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, Shanxi, P. R. China
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Tao R, Dong X, Zhen X, Xia R, Qu Y, Liu S, Zhang S, Li C. Population genetic analyses of Eastern Chinese Han nationality using ForenSeq™ DNA Signature Prep Kit. Mol Genet Genomics 2024; 299:9. [PMID: 38374461 DOI: 10.1007/s00438-024-02121-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: 08/02/2023] [Accepted: 01/31/2024] [Indexed: 02/21/2024]
Abstract
Currently, the most commonly used method for human identification and kinship analysis in forensic genetics is the detection of length polymorphism in short tandem repeats (STRs) using polymerase chain reaction (PCR) and capillary electrophoresis (CE). However, numerous studies have shown that considerable sequence variations exist in the repeat and flanking regions of the STR loci, which cannot be identified by CE detection. Comparatively, massively parallel sequencing (MPS) technology can capture these sequence differences, thereby enhancing the identification capability of certain STRs. In this study, we used the ForenSeq™ DNA Signature Prep Kit to sequence 58 STRs and 94 individual identification SNPs (iiSNPs) in a sample of 220 unrelated individuals from the Eastern Chinese Han population. Our aim is to obtain MPS-based STR and SNP data, providing further evidence for the study of population genetics and forensic applications. The results showed that the MPS method, utilizing sequence information, identified a total of 486 alleles on autosomal STRs (A-STRs), 97 alleles on X-chromosome STRs (X-STRs), and 218 alleles on Y-chromosome STRs (Y-STRs). Compared with length polymorphism, we observed an increase of 260 alleles (157, 31, and 72 alleles on A-STRs, X-STRs, and Y-STRs, respectively) across 36 STRs. The most substantial increments were observed in DYF387S1 and DYS389II, with increases of 287.5% and 250%, respectively. The most increment in the number of alleles was found at DYF387S1 and DYS389II (287.5% and 250%, respectively). The length-based (LB) and sequence-based (SB) combined random match probability (RMP) of 27 A-STRs were 6.05E-31 and 1.53E-34, respectively. Furthermore, other forensic parameters such as total discrimination power (TDP), cumulative probability of exclusion of trios (CPEtrio), and duos (CPEduo) were significantly improved when using the SB data, and informative data were obtained for the 94 iiSNPs. Collectively, these findings highlight the advantages of MPS technology in forensic genetics, and the Eastern Chinese Han genetic data generated in this study could be used as a valuable reference for future research in this field.
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Affiliation(s)
- Ruiyang Tao
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Sciences, Key Laboratory of Forensic Science, Shanghai, 200063, China
| | - Xinyu Dong
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Sciences, Key Laboratory of Forensic Science, Shanghai, 200063, China
- Minhang Branch of Shanghai Public Security Bureau, Shanghai, 201108, China
| | - Xiaoyuan Zhen
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Sciences, Key Laboratory of Forensic Science, Shanghai, 200063, China
- Department of Forensic Science, Medical School of Soochow University, Suzhou, 215123, China
| | - Ruocheng Xia
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Sciences, Key Laboratory of Forensic Science, Shanghai, 200063, China
| | - Yiling Qu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Sciences, Key Laboratory of Forensic Science, Shanghai, 200063, China
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Shiquan Liu
- Institute of Evidence Law and Forensic Science, China University of Political Science and Law, Beijing, 100088, China.
| | - Suhua Zhang
- Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| | - Chengtao Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Sciences, Key Laboratory of Forensic Science, Shanghai, 200063, China.
- Shanghai Medical College, Fudan University, Shanghai, 200032, China.
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Ma G, Wang Q, Cong B, Li S. An approach to unified formulae for likelihood ratio calculation in pairwise kinship analysis. Front Genet 2024; 15:1226228. [PMID: 38384715 PMCID: PMC10879572 DOI: 10.3389/fgene.2024.1226228] [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: 05/21/2023] [Accepted: 01/10/2024] [Indexed: 02/23/2024] Open
Abstract
Introduction: The likelihood ratio (LR) can be an efficient means of distinguishing various relationships in forensic fields. However, traditional list-based methods for derivation and presentation of LRs in distant or complex relationships hinder code editing and software programming. This paper proposes an approach for a unified formula for LRs, in which differences in participants' genotype combinations can be ignored for specific identification. This formula could reduce the difficulty of by-hand coding, as well as running time of large-sample-size simulation. Methods: The approach is first applied to a problem of kinship identification in which at least one of the participants is alleged to be inbred. This can be divided into two parts: i) the probability of different identical by descent (IBD) states according to the alleged kinship; and ii) the ratio of the probability that specific genotype combination can be detected assuming the alleged kinship exists between the two participants to the similar probability assuming that they are unrelated, for each state. For the probability, there are usually recognized results for common identification purposes. For the ratio, subscript letters representing IBD alleles of individual A's alleles are used to eliminate differences in genotype combinations between the two individuals and to obtain a unified formula for the ratio in each state. The unification is further simplified for identification cases in which it is alleged that both of the participants are outbred. Verification is performed to show that the results obtained with the unified and list-form formulae are equivalent. Results: A series of unified formulae are derived for different identification purposes, based on which an R package named KINSIMU has been developed and evaluated for use in large-size simulations for kinship analysis. Comparison between the package with two existing tools indicated that the unified approach presented here is more convenient and time-saving with respect to the coding process for computer applications compared with the list-based approach, despite appearing more complicated. Moreover, the method of derivation could be extended to other identification problems, such as those with different hypothesis sets or those involving multiple individuals. Conclusion: The unified approach of LR calculation can be beneficial in kinship identification field.
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Affiliation(s)
- Guanju Ma
- Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, College of Forensic Medicine, Hebei Medical University, Shijiazhuang, China
| | - Qian Wang
- Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, College of Forensic Medicine, Hebei Medical University, Shijiazhuang, China
| | - Bin Cong
- Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, College of Forensic Medicine, Hebei Medical University, Shijiazhuang, China
- Hainan Tropical Forensic Medicine Academician Workstation, Haikou, China
| | - Shujin Li
- Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, College of Forensic Medicine, Hebei Medical University, Shijiazhuang, China
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Kouniaki DI, Fotopoulos KV, Tarassi K, Tsirogianni A. Utilizing Massively Parallel Sequencing (MPS) of Human Leukocyte Antigen (HLA) Gene Polymorphism to Assess Relatedness in Deficiency Parentage Testing. Genes (Basel) 2024; 15:150. [PMID: 38397140 PMCID: PMC10888046 DOI: 10.3390/genes15020150] [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: 12/21/2023] [Revised: 01/13/2024] [Accepted: 01/20/2024] [Indexed: 02/25/2024] Open
Abstract
In the realm of DNA testing with legal implications, the reliability and precision of genetic markers play a pivotal role in confirming or negating paternity claims. This study aimed to assess the potential utility of human leukocyte antigen (HLA) gene polymorphism through massively parallel sequencing (MPS) technology as robust forensic markers for parentage testing involving genetic deficiencies. It sought to redefine the significance of HLA genes in this context. Data on autosomal short tandem repeat (aSTR) mutational events across 18 paternity cases involving 16 commonly employed microsatellite loci were presented. In instances where traditional aSTR analysis failed to establish statistical certainty, kinship determination was pursued via HLA genotyping, encompassing the amplification of 17 linked HLA loci. Within the framework of this investigation, phase-resolved genotypes for HLA genes were meticulously generated, resulting in the definition of 34 inherited HLA haplotypes. An impressive total of 274 unique HLA alleles, which were classified at either the field 3 or 4 level, were identified, including the discovery of four novel HLA alleles. Likelihood ratio (LR) values, which indicated the likelihood of the observed data under a true biological relationship versus no relationship, were subsequently calculated. The analysis of the LR values demonstrated that the HLA genes significantly enhanced kinship determination compared with the aSTR analysis. Combining LR values from aSTR markers and HLA loci yielded conclusive outcomes in duo paternity cases, showcasing the potential of HLA genes and MPS technology for deeper insights and diversity in genetic testing. Comprehensive reference databases and high-resolution HLA typing across diverse populations are essential. Reintegrating HLA alleles into forensic identification complements existing markers, creating a potent method for future forensic analysis.
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Affiliation(s)
- Diamanto I. Kouniaki
- Immunology and Histocompatibility Department, Evangelismos General Hospital, 10676 Athens, Greece; (D.I.K.); (K.T.)
| | - Konstantinos V. Fotopoulos
- School of Electrical and Computer Engineering, National Technical University of Athens (ECE-NTUA), 15772 Zografou, Greece;
| | - Katerina Tarassi
- Immunology and Histocompatibility Department, Evangelismos General Hospital, 10676 Athens, Greece; (D.I.K.); (K.T.)
| | - Alexandra Tsirogianni
- Immunology and Histocompatibility Department, Evangelismos General Hospital, 10676 Athens, Greece; (D.I.K.); (K.T.)
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Li R, Wang N, Zang Y, Liu J, Wu E, Wu R, Sun H. Easykin: a flexible and user-friendly online tool for forensic kinship testing and missing person identification. Int J Legal Med 2023; 137:1671-1681. [PMID: 37747571 DOI: 10.1007/s00414-023-03083-1] [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: 06/29/2023] [Accepted: 09/05/2023] [Indexed: 09/26/2023]
Abstract
In forensic kinship testing and missing person identification, it is a fundamental question to choose the most informative reference relatives, select appropriate genotyping systems, and evaluate the weight of evidence comprehensively. Despite that several useful tools have been developed, they have not addressed these questions satisfactorily. In this paper, we develop a flexible and user-friendly online tool, Easykin, to address the aforementioned issues. It has some promising features: (i) Pedigrees can be constructed easily and presented intuitively with just a few mouse clicks. (ii) System power can be estimated before testing based on certain set of markers and reference relatives. (iii) The pruning function of EasyKin enables users to choose appropriate subsets of available references. (iv) Parameters at a specific LR for a single case may ease evidence interpretation. (v) The user interface (UI) is an HTML-based dashboard, which is friendly to both professional and non-professional users and can be used anytime and anywhere. Here, we presented three common cases as examples to demonstrate how kinship testing and missing person identification can be improved with EasyKin. In conclusion, this tool provides a one-stop solution for forensic use, that is, instructing users to choose appropriate kits and reference relatives before testing, calculating LR in the testing, and providing parameters for data interpretation after testing. EasyKin is freely available at https://forensicsysu.shinyapps.io/EasyKin/ .
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Affiliation(s)
- Ran Li
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, 510080, Guangdong, People's Republic of China
- School of Medicine, Jiaying University, Meizhou, 514015, People's Republic of China
- Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou, 510089, Guangdong, People's Republic of China
| | - Nana Wang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, 510080, Guangdong, People's Republic of China
- Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou, 510089, Guangdong, People's Republic of China
| | - Yu Zang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, 510080, Guangdong, People's Republic of China
- Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou, 510089, Guangdong, People's Republic of China
| | - Jiajun Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, 510080, Guangdong, People's Republic of China
- Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou, 510089, Guangdong, People's Republic of China
| | - Enlin Wu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, 510080, Guangdong, People's Republic of China
- Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou, 510089, Guangdong, People's Republic of China
| | - Riga Wu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, 510080, Guangdong, People's Republic of China
- Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou, 510089, Guangdong, People's Republic of China
| | - Hongyu Sun
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, 510080, Guangdong, People's Republic of China.
- Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou, 510089, Guangdong, People's Republic of China.
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10
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Guo F, Liu Z, Long G, Zhang B, Dong X, Liu D, Yu S. High-resolution genotyping of 58 STRs in 635 Northern Han Chinese with MiSeq FGx ® Forensic Genomics System. Forensic Sci Int Genet 2023; 65:102879. [PMID: 37150076 DOI: 10.1016/j.fsigen.2023.102879] [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: 12/26/2022] [Revised: 04/16/2023] [Accepted: 04/22/2023] [Indexed: 05/09/2023]
Abstract
Sequence polymorphisms were characterized at 27 autosomal STRs (A-STRs), 7 X chromosomal STRs (X-STRs), and 24 Y chromosomal STRs (Y-STRs) in 635 Northern Han Chinese with the ForenSeq DNA Signature Prep Kit on the MiSeq FGx Forensic Genomics System. Since repeat region (RR) and flanking region (FR) variation can be detected by massively parallel sequencing (MPS), the increase in the number of unique alleles and the average of gene diversity was 78.18% and 3.51% between sequence and length, respectively. A total of 74 novel RR variants were identified at 33 STRs compared with STRSeq and previous studies, and 13 FR variants (rs1770275883, rs2053373277, rs2082557941, rs1925525766, rs1926380862, rs1569322793, rs2051848492, rs2051848696, rs2016239814, rs2053269960, rs2044518192, rs2044536444, and rs2089968964) were first submitted to dbSNP. Also, 99.94% of alleles were concordant between the ForenSeq DNA Signature Prep Kit and commercial CE kits. Discordance resulted from the low performance at D22S1045 and occasionally at DYS392, flanking region deletions at D7S820 and DXS10074, and the strict alignment algorithm at DXS7132. Null alleles at DYS505 and DYS448 and multialleles at DYS387S1a/b, DYS385a/b, DYS448, DYS505, DXS7132, and HPRTB were validated with other MPS and CE kits. Thus, a high-resolution sequence-based (SB) and length-based (LB) allele frequencies dataset from Northern Han Chinese has been established already. As expected, forensic parameters increased significantly on combined power of discrimination (PD) and combined power of exclusion (PE) at A-STRs, mildly on combined PD and combined mean exclusion chance (MEC) at X-STRs, and barely on discrimination capacity (DC) at Y-STRs. Additionally, MiSeq FGx quality metrics and MPS performance were evaluated in this study, which presented the high-quality of the dataset at 20 consecutive runs, such as ≥ 60% bases with a quality score of 20 or higher (%≥ Q20), > 60% of effective reads, > 2000 × of depth of coverage (DoC), ≥ 60% of allele coverage ratio (ACR) or heterozygote balance, ≥ 70% of inter-locus balance, and ≤ 0.4 of the absolute value of observed minus expected heterozygosity (|Hexp - Hobs|). In conclusion, MiSeq FGx can help us generate a high-resolution and high-quality dataset for human identification and population genetic studies.
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Affiliation(s)
- Fei Guo
- School of Forensic Science and Technology, Criminal Investigation Police University of China, Shenyang, Liaoning 110854, PR China.
| | - Ze Liu
- DNA Laboratory of Forensic Science Center, Shenyang Public Security Bureau, Shenyang, Liaoning 110002, PR China
| | - Guannan Long
- DNA Laboratory of Forensic Science Center, Shenyang Public Security Bureau, Shenyang, Liaoning 110002, PR China
| | - Biao Zhang
- DNA Laboratory of Forensic Science Center, Shenyang Public Security Bureau, Shenyang, Liaoning 110002, PR China
| | - Xinyu Dong
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi 030619, PR China
| | - Dahua Liu
- Department of Forensic Medicine, Jinzhou Medical University, Jinzhou, Liaoning 121001, PR China
| | - Shaobo Yu
- DNA Laboratory of Forensic Science Center, Shenyang Public Security Bureau, Shenyang, Liaoning 110002, PR China.
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11
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Zhalsanova IZ, Postrigan AE, Valiakhmetov NR, Kolesnikov NA, Zhigalina DI, Zarubin AA, Petrova VV, Minaycheva LI, Seitova GN, Skryabin NA, Stepanov VA. Case Report: A Novel Homozygous Variant of the SERPINF1 Gene in Rare Osteogenesis Imperfecta Type VI. Int J Mol Sci 2023; 24:ijms24076672. [PMID: 37047644 PMCID: PMC10095092 DOI: 10.3390/ijms24076672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/30/2023] [Accepted: 03/31/2023] [Indexed: 04/07/2023] Open
Abstract
Osteogenesis imperfecta (OI) is a group of connective tissue disorders with different types of inheritance. OI is characterized by bone fragility and deformities, frequent fractures, low bone-mineral density, and impaired bone micro-architectonics. We described here a case of a one-year-old Tuvan patient with multiple fractures. The disease manifestation occurred first at 12 weeks of age as a shoulder joint bruise, and during the year, the patient sustained 27 fractures. Genetic testing revealed a novel homozygous mutation, c.259_260insCGGCC (p.T87fs), in the SERPINF1 gene. This insertion leads to an open-reading frameshift, and the mutation is not represented in the databases. Mutations in SERPINF1 lead to type VI OI, the clinical picture of which is similar to the disease phenotype manifestation of the patient. Thus, the patient’s diagnosis was established by finding a novel pathogenic variant in the SERPINF1 gene.
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Affiliation(s)
- Irina Zh. Zhalsanova
- Research Institute of Medical Genetics, Tomsk National Research Medical Center, Tomsk 634050, Russia
| | - Anna Evgenievna Postrigan
- Research Institute of Medical Genetics, Tomsk National Research Medical Center, Tomsk 634050, Russia
| | | | | | - Daria Ivanovna Zhigalina
- Research Institute of Medical Genetics, Tomsk National Research Medical Center, Tomsk 634050, Russia
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12
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Chen M, Lan Q, Nie S, Hu L, Fang Y, Cui W, Bai X, Liu L, Zhu B. Forensic efficiencies of individual identification, kinship testing and ancestral inference in three Yunnan groups based on a self-developed multiple DIP panel. Front Genet 2023; 13:1057231. [PMID: 36685924 PMCID: PMC9845582 DOI: 10.3389/fgene.2022.1057231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 11/25/2022] [Indexed: 01/06/2023] Open
Abstract
Deletion/insertion polymorphism (DIP), as a short insertion/deletion sequence polymorphic genetic marker, has attracted the attention of forensic genetic scientist due to its lack of stutter, short amplicon and abundant ancestral information. In this study, based on a self-developed 43 autosomal deletion/insertion polymorphism (A-DIP) loci panel which could meet the forensic application purposes of individual identification, kinship testing and ancestral inference to some extent, we evaluated the forensic efficiencies of the above three forensic objectives in Chinese Yi, Hani and Miao groups of Yunnan province. The cumulative match probability (CPM) and combined probability of exclusion (CPE) of these three groups were 1.11433E-18, 8.24299E-19, 4.21721E-18; 0.999610217, 0.999629285 and 0.999582084, respectively. Average 96.65% full sibling pairs could be identified from unrelated individual pairs (as likelihood ratios > 1) using this DIP panel, whereas the average false positive rate was 3.69% in three target Yunnan groups. With the biogeographical ancestor prediction models constructed by extreme gradient boosting (XGBoost) and support vector machine (SVM) algorithms, 0.8239 (95% CI 0.7984, 0.8474) of the unrelated individuals could be correctly divided according to the continental origins based on the 43 A-DIPs which were large frequency distribution differentiations among different continental populations. The present results of principal component analysis (PCA), multidimensional scaling (MDS), neighbor joining (NJ) and maximum likelihood (ML) phylogenetic trees and STRUCTURE analyses indicated that these three Yunnan groups had relatively close genetic distances with East Asian populations.
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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, China
| | - Qiong Lan
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Yating Fang
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Wei Cui
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Xiaole Bai
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Liu Liu
- 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,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, China,*Correspondence: Bofeng Zhu,
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13
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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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14
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Classical and Non-Classical HLA Alleles as Supplementary Markers in Indirect Kinship Parentage Testing. IMMUNO 2022. [DOI: 10.3390/immuno2030031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
A civil paternity investigation involving the parents of the deceased alleged father in order to establish a family relationship is presented. On the basis of the 23 autosomal short tandem repeat (aSTR) genotyping results, conclusive proof of paternity was not achieved, as the probability of paternity (W) was calculated to 0.99988. Additional genetic data of 17 classical and non-classical human leukocyte alleles (HLA) typing by next-generation sequencing (NGS) at a high-resolution level supported the hypothesis of grandpaternity over the hypothesis of coincidental paternal obligate allele (POA) sharing (total WaSTR&HLA = 0.9999998). The present study demonstrates the utility of 17 HLA genetic markers-typing in the solution of deficiency cases of disputed parentage.
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15
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Zhang Q, Wang X, Cheng P, Yang S, Li W, Zhou Z, Wang S. Complex kinship analysis with a combination of STRs, SNPs, and indels. Forensic Sci Int Genet 2022; 61:102749. [DOI: 10.1016/j.fsigen.2022.102749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 06/26/2022] [Accepted: 07/19/2022] [Indexed: 11/30/2022]
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16
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Xu Q, Wang Z, Kong Q, Wang X, Huang A, Li C, Liu X. Improving the System Power of Complex Kinship Analysis by Combining Multiple Systems. Forensic Sci Int Genet 2022; 60:102741. [DOI: 10.1016/j.fsigen.2022.102741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 06/04/2022] [Accepted: 06/12/2022] [Indexed: 11/04/2022]
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17
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Identification of missing persons through kinship analysis by microhaplotype sequencing of single-source DNA and two-person DNA mixtures. Forensic Sci Int Genet 2022; 58:102689. [DOI: 10.1016/j.fsigen.2022.102689] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 02/22/2022] [Accepted: 03/14/2022] [Indexed: 11/04/2022]
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18
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Pilli E, Tarallo R, Riccia PL, Berti A, Novelletto A. Kinship assignment with the ForenSeq™ DNA Signature Prep Kit: Sources of error in simulated and real cases. Sci Justice 2022; 62:1-9. [PMID: 35033321 DOI: 10.1016/j.scijus.2021.10.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 08/31/2021] [Accepted: 10/21/2021] [Indexed: 11/30/2022]
Abstract
Kinship recognition between anonymous DNA samples is becoming a relevant issue in forensics, more so with the increasing number of DNA profiles in databanks. Also, NGS-based genotyping is being increasingly used in routine personal identification, to simultaneously type large numbers of markers of different kind. In the present work, we explored computationally and experimentally the performance of the ForenSeq™ DNA Signature Prep Kit in identifying the true relationship between two anonymous samples, distinguishing it from other possible relationships. We analyzed with Familias R series of 10,000 pairs with 9 different simulated relationships, corresponding to different degrees of autosomal sharing. For each pair we obtained likelihood ratios for five kinship hypotheses vs. unrelatedness, and used their ranking to identify the preferred relationship. We also typed 21 subjects from two pedigrees, representing from parent-child to 4th cousins relationships. As expected, the power for identifying the true relationship decays in the order of autosomal sharing. Parent-child and full siblings can be robustly identified against other relationships. For half-siblings the chance of reaching a significant conclusion is already small. For more distant relationships the proportion of cases correctly and significantly identified is 10% or less. Bidirectional errors in kinship attribution include the suggestion of relatedness when this does not exist (10-50%), and the suggestion of independence in pairs of individuals more than 4 generations apart (25-60%). The real cases revealed a relevant effect of genotype miscalling at some loci, which could only be partly avoided by modulating the analysis parameters. In conclusion, with the exception of first degree relatives, the kit can be useful to inform additional investigations, but does not usually provide probatory results.
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Affiliation(s)
- Elena Pilli
- Department of Biology, University of Florence, Florence, Italy.
| | - Roberta Tarallo
- Department of Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Pietro La Riccia
- Department of Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Andrea Berti
- Reparto Carabinieri Investigazioni Scientifiche, Sezione di Biologia, Roma, Italy
| | - Andrea Novelletto
- Department of Biology, University of Rome "Tor Vergata", Rome, Italy
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Improving the regional Y-STR haplotype resolution utilizing haplogroup-determining Y-SNPs and the application of machine learning in Y-SNP haplogroup prediction in a forensic Y-STR database: A pilot study on male Chinese Yunnan Zhaoyang Han population. Forensic Sci Int Genet 2021; 57:102659. [PMID: 35007855 DOI: 10.1016/j.fsigen.2021.102659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 12/14/2021] [Accepted: 12/27/2021] [Indexed: 11/23/2022]
Abstract
Improving the resolution of the current widely used Y-chromosomal short tandem repeat (Y-STR) dataset is of great importance for forensic investigators, and the current approach is limited, except for the addition of more Y-STR loci. In this research, a regional Y-DNA database was investigated to improve the Y-STR haplotype resolution utilizing a Y-SNP Pedigree Tagging System that includes 24 Y-chromosomal single nucleotide polymorphism (Y-SNP) loci. This pilot study was conducted in the Chinese Yunnan Zhaoyang Han population, and 3473 unrelated male individuals were enrolled. Based on data on the male haplogroups under different panels, the matched or near-matching (NM) Y-STR haplotype pairs from different haplogroups indicated the critical roles of haplogroups in improving the regional Y-STR haplotype resolution. A classic median-joining network analysis was performed using Y-STR or Y-STR/Y-SNP data to reconstruct population substructures, which revealed the ability of Y-SNPs to correct misclassifications from Y-STRs. Additionally, population substructures were reconstructed using multiple unsupervised or supervised dimensionality reduction methods, which indicated the potential of Y-STR haplotypes in predicting Y-SNP haplogroups. Haplogroup prediction models were built based on nine publicly accessible machine-learning (ML) approaches. The results showed that the best prediction accuracy score could reach 99.71% for major haplogroups and 98.54% for detailed haplogroups. Potential influences on prediction accuracy were assessed by adjusting the Y-STR locus numbers, selecting Y-STR loci with various mutabilities, and performing data processing. ML-based predictors generally presented a better prediction accuracy than two available predictors (Nevgen and EA-YPredictor). Three tree models were developed based on the Yfiler Plus panel with unprocessed input data, which showed their strong generalization ability in classifying various Chinese Han subgroups (validation dataset). In conclusion, this study revealed the significance and application prospects of Y-SNP haplogroups in improving regional Y-STR databases. Y-SNP haplogroups can be used to discriminate NM Y-STR haplotype pairs, and it is important for forensic Y-STR databases to develop haplogroup prediction tools to improve the accuracy of biogeographic ancestry inferences.
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Tao R, Xu Q, Wang S, Xia R, Yang Q, Chen A, Qu Y, Lv Y, Zhang S, Li C. Pairwise kinship analysis of 17 pedigrees using massively parallel sequencing. Forensic Sci Int Genet 2021; 57:102647. [PMID: 34902810 DOI: 10.1016/j.fsigen.2021.102647] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 11/18/2021] [Accepted: 11/28/2021] [Indexed: 01/23/2023]
Abstract
With the tremendous development of massively parallel sequencing (MPS) in the last decade, it has been widely applied in basic science, clinical diagnostics, microbial genomics, as well as forensic genetics. MPS has lots of advantages that may facilitate the kinship analysis. In this study, 243 Chinese Han individuals from 17 families were involved and sequenced using the ForenSeq™ DNA Signature Prep Kit (Verogen, Inc., San Diego, USA), which provided the sequence information of 27 autosomal STRs (A-STRs), 7 X chromosomal STRs (X-STRs), 24 Y chromosomal STRs (Y-STRs) and 94 identity-informative SNPs (iSNPs). A total of 275 pairs of parent-child, 123 pairs of full siblings, 1 pair of twins, 1 pair of half siblings, 158 pairs of grandparent-grandchild, 222 pairs of uncle/aunt-nephew/niece and 121 pairs of first cousins, as well as 701 pairs of unrelated individuals were identified. Using both likelihood ratio (LR) and identical by state (IBS) methods, the kinship analysis was conducted among these relative and non-relative pairs based on the A-STRs and SNPs. As a result, the ForenSeq Signature Kit could solve the analysis of parent-child (t1 = -4, t2 = 4), full siblings (t1 = -2, t2 = 2) and most second-degree kinships (t1 = -1, t2 = 1) using the LR method. When the IBS method was applied, 123 full sibling pairs had a higher average IBS value than other kinship groups in this study. And the IBS method could play a role in the testing of parent-child and full siblings.
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Affiliation(s)
- Ruiyang Tao
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, Shanghai 200063, PR China
| | - Qiannan Xu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, Shanghai 200063, PR China; Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, PR China
| | - Shouyu Wang
- Department of Forensic Medicine, Shanghai Medical College, Fudan University, Shanghai, PR China
| | - Ruocheng Xia
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, Shanghai 200063, PR China
| | - Qi Yang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, Shanghai 200063, PR China
| | - Anqi Chen
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, Shanghai 200063, PR China; Department of Forensic Medicine, Shanghai Medical College, Fudan University, Shanghai, PR China
| | - Yiling Qu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, Shanghai 200063, PR China; Department of Forensic Science, Medical School of Soochow University, Suzhou 215123, PR China
| | - Yehui Lv
- Shanghai University of Medicine & Health Sciences, Shanghai 200237, PR China
| | - Suhua Zhang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, Shanghai 200063, PR China.
| | - Chengtao Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, Shanghai 200063, PR China.
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21
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Laurent FX, Fischer A, Oldt RF, Kanthaswamy S, Buckleton JS, Hitchin S. Streamlining the decision-making process for international DNA kinship matching using Worldwide allele frequencies and tailored cutoff log 10LR thresholds. Forensic Sci Int Genet 2021; 57:102634. [PMID: 34871915 DOI: 10.1016/j.fsigen.2021.102634] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 10/13/2021] [Accepted: 11/15/2021] [Indexed: 11/30/2022]
Abstract
The identification of human remains belonging to missing persons is one of the main challenges for forensic genetics. Although other means of identification can be applied to missing person investigations, DNA is often extremely valuable to further support or refute potential associations. When reference DNA samples cannot be collected from personal items belonging to a missing person, a direct DNA identification cannot be carried out. However, identifications can be made indirectly using DNA from the missing person's relatives. The ranking of likelihood ratio (LR) values, which measure the fit of a missing person for any given pedigree, is often the first step in selecting candidates in a DNA database. Although implementing DNA kinship matching in a national environment is feasible, many challenges need to be resolved before applying this method to an international configuration. In this study, we present an innovative and intuitive method to perform international DNA kinship matching and facilitate the comparison of DNA profiles when the ancestry is unknown or unsure and/or when different marker sets are used. This straightforward method, which is based on calculations performed with the DNA matching software BONAPARTE, Worldwide allele frequencies and tailored cutoff log10LR thresholds, allows for the classification of potential candidates according to the strength of the DNA evidence and the predicted proportion of adventitious matches. This is a powerful method for streamlining the decision-making process in missing person investigations and DVI processes, especially when there are low numbers of overlapping typed STRs. Intuitive interpretation tables and a decision tree will help strengthen international data comparison for the identification of reported missing individuals discovered outside their national borders.
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Affiliation(s)
- François-Xavier Laurent
- International Criminal Police Organization - INTERPOL, DNA Unit, 200 quai Charles de Gaulle, 69006 Lyon, France.
| | - Andrea Fischer
- International Criminal Police Organization - INTERPOL, DNA Unit, 200 quai Charles de Gaulle, 69006 Lyon, France; Landeskriminalamt Baden-Württemberg, Taubenheimstr. 85, 70372 Stuttgart, Germany
| | - Robert F Oldt
- School of Mathematical and Natural Sciences, Arizona State University, Phoenix, AZ 85004, USA
| | - Sree Kanthaswamy
- School of Mathematical and Natural Sciences, Arizona State University, Phoenix, AZ 85004, USA
| | - John S Buckleton
- University of Auckland, Department of Statistics, Private Bag, 92019 Auckland, New Zealand
| | - Susan Hitchin
- International Criminal Police Organization - INTERPOL, DNA Unit, 200 quai Charles de Gaulle, 69006 Lyon, France.
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22
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Development and validation of a novel 133-plex forensic STR panel (52 STRs and 81 Y-STRs) using single-end 400 bp massive parallel sequencing. Int J Legal Med 2021; 136:447-464. [PMID: 34741666 DOI: 10.1007/s00414-021-02738-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 10/25/2021] [Indexed: 12/15/2022]
Abstract
Short tandem repeats (STRs) are the preferred genetic markers in forensic DNA analysis, routinely measured by capillary electrophoresis (CE) method based on the fragment length features. While, the massive parallel sequencing (MPS) technology could simultaneously target a large number of intriguing forensic STRs, bypassing the intrinsic limitations of amplicon size separation and accessible fluorophores in CE, which is efficient and promising for enabling the identification of forensic biological evidence. Here, we developed a novel MPS-based Forensic Analysis System Multiplecues SetB Kit of 133-plex forensic STR markers (52 STRs and 81 Y-STRs) and one Y-InDel (M175) based on multiplex PCR and single-end 400 bp sequencing strategy. This panel was subjected to developmental validation studies according to the SWGDAM Validation Guidelines. Approximately 2185 MPS-based reactions using 6 human DNA standards and 8 male donors were conducted for substrate studies (filter paper, gauze, cotton swab, four different types of FTA cards, peripheral venous blood, saliva, and exfoliated cells), sensitivity studies (from 2 ng down to 0.0625 ng), mixture studies (two-person DNA mixtures), PCR inhibitor studies (seven commonly encountered PCR inhibitors), species specificity studies (11 non-human species), and repeatability studies. Results of concordance studies (413 Han males and 6 human DNA standards) generated by STRait Razor and in-house Python scripts indicated 99.98% concordance rate in STR calling relative to CE for STRs between 41,900 genotypes at 100 STR markers. Moreover, the limitations of present studies, the nomenclature rules and forensic MPS applications were also described. In conclusion, the validation studies based on ~ 2200 MPS-based and ~ 2500 CE-based DNA profiles demonstrated that the novel MPS-based panel meets forensic DNA quality assurance guidelines with robust, reliable, and reproducible performance on samples of various quantities and qualities, and the STR nomenclature rules should be further regulated to integrate the inconformity between MPS-based and CE-based methods.
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23
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Wu JZ, Wang LX, Yang XY, Pan DH, Lu XY, Liu CH, Han XL, Liu H, Shi MS, Liu C, Wen SQ. Forensic application of a novel MPS-based panel (90 STRs and 100 SNPs) in a non-exclusion parentage case with three autosomal STRs incompatibilities. Leg Med (Tokyo) 2021; 54:101987. [PMID: 34768042 DOI: 10.1016/j.legalmed.2021.101987] [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: 07/15/2021] [Revised: 10/22/2021] [Accepted: 10/26/2021] [Indexed: 10/19/2022]
Abstract
In kinship tests, the investigating of the forensic STRs usually provides decisive information to resolve relationship cases. We describe a parentage case with 3 genetic incompatibilities (D6S1043, D18S51 and D2S1338) between the child and alleged parent. With 90 STR loci and 100 SNP loci, the massively parallel sequencing (MPS)-based genotyping results support the certainty of parentage, and the mismatched alleles were considered to be mutations. MPS can provide additional allele sequence structures that can be used to infer the origins of the mutations. SNPs as supplementary markers can provide effective information to give an unequivocal statement of the parentage.
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Affiliation(s)
- Jia-Zi Wu
- MOE Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai 200438, China; Institute of Archaeological Science, Fudan University, Shanghai 200433, China
| | - Ling-Xiang Wang
- Institute of Archaeological Science, Fudan University, Shanghai 200433, China; Deepreads Biotech, Guangzhou 510663, China
| | - Xing-Yi Yang
- Guangzhou Forensic Science Institute, Guangzhou 510030, China
| | - Dong-Hua Pan
- Forensic Science Centre of Maoming Public Security Department, Guangdong Province, Maoming 525000, China
| | - Xiao-Yu Lu
- Institute of Archaeological Science, Fudan University, Shanghai 200433, China; Deepreads Biotech, Guangzhou 510663, China
| | - Chang-Hui Liu
- Guangzhou Forensic Science Institute, Guangzhou 510030, China
| | - Xiao-Long Han
- Guangzhou Forensic Science Institute, Guangzhou 510030, China
| | - Hong Liu
- Guangzhou Forensic Science Institute, Guangzhou 510030, China
| | - Mei-Sen Shi
- Criminal Justice College of China University of Political Science and Law, Beijing 100088, China.
| | - Chao Liu
- Guangzhou Forensic Science Institute, Guangzhou 510030, China.
| | - Shao-Qing Wen
- MOE Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai 200438, China; Institute of Archaeological Science, Fudan University, Shanghai 200433, China.
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24
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Zhao GB, Ma GJ, Zhang C, Kang KL, Li SJ, Wang L. BGISEQ-500RS sequencing of a 448-plex SNP panel for forensic individual identification and kinship analysis. Forensic Sci Int Genet 2021; 55:102580. [PMID: 34454122 DOI: 10.1016/j.fsigen.2021.102580] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 07/13/2021] [Accepted: 08/17/2021] [Indexed: 01/23/2023]
Abstract
Next generation sequencing (NGS)-based single nucleotide polymorphism (SNP) genotyping is widely used in the field of forensics. SNP genotyping data from several NGS platforms have been published, but forensic application trials of DNA nanoball sequencing platforms have been very limited. In this work, we developed a 448-plex SNP panel on the BGISEQ-500RS platform. The sequencing metrics of a total of 261 samples that were sequenced with this panel are reported in detail. The average sequencing depth was 8373 × and the average heterozygosity of the 448-plex assay was 0.85. Sensitivity analysis showed that 325 SNPs were successfully genotyped with as little as 50 pg of genomic DNA, with the mean quality score of the sequencing data above Q30. Forensic parameters were calculated based on the data of 142 unrelated Chinese Han individuals and the combined matching probability was as low as 5.21 × 10-101. Kinship analyses based on experiments and computer simulations showed that the 448-panel was as effective as the ForenSeq™ DNA Signature Prep Kit for second-degree kinship identification, and when the two panels were merged, the related pairs were almost completely distinguished from unrelated pairs. The 448-plex SNP panel on the BGISEQ-500RS platform provides a powerful tool for forensic individual identification and kinship analysis.
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Affiliation(s)
- Guang-Bin Zhao
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China
| | - Guan-Ju Ma
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Shijiazhuang 050017, China
| | - Chi Zhang
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China
| | - Ke-Lai Kang
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China
| | - Shu-Jin Li
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Shijiazhuang 050017, China.
| | - Le Wang
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China.
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25
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Wu R, Chen H, Li R, Zang Y, Shen X, Hao B, Wang Q, Sun H. Pairwise kinship testing with microhaplotypes: Can advancements be made in kinship inference with these markers? Forensic Sci Int 2021; 325:110875. [PMID: 34166816 DOI: 10.1016/j.forsciint.2021.110875] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 05/20/2021] [Accepted: 06/11/2021] [Indexed: 10/21/2022]
Abstract
Kinship testing based on genetic relatedness is one of the major tasks in forensic genetics. Although short tandem repeats (STRs) are the "gold standard" biomarkers for relationship testing, microhaplotypes (MHs) have also emerged as viable options for kinship elucidation. In this work, the kinship testing efficiency of 54 highly polymorphic MHs was studied in two extended families consisting of parent-offspring, full siblings, grandparent-grandchildren, uncle/aunt-nephew/nieces, and first cousins. In addition, ten-thousand pairs of different degrees of relationships were simulated using various datasets including 54 MHs, 27 STRs plus 94 single nucleotide polymorphisms (SNPs) that were included in the ForenSeq DNA Signature Prep Kit (ForenSeq), 54 MHs plus loci in ForenSeq, and different subsets of 417-published MHs. The panels' system effectiveness in the kinship analysis were accessed by likelihood ratio distributions. The results showed that 54 MHs could be used in first-degree relationship testing with high reliability. The effectiveness of 54 MHs was slightly lower than ForenSeq but only by a narrow margin. Both 54 MHs and ForenSeq were not sufficient for distant relationship testing, and approximately 200 microhaplotypes with an average expected heterozygosity (He) = 0.79 were enough to determine second-degree relationships, but a panel of 417 MHs with an average He = 0.72 was not sufficient to first cousins testing according to the simulation analysis. In conclusion, 54 MHs could be used to serve as supplement markers for kinship testing; and well-established STR markers plus well-performing microhaplotype markers may become collective tools in forensic applications, though an enlarged pool of forensic markers is needed for distant relationship testing.
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Affiliation(s)
- Riga Wu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, PR China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, PR China
| | - Hui Chen
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, PR China
| | - Ran Li
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, PR China
| | - Yu Zang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, PR China
| | - Xuefeng Shen
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, PR China
| | - Bo Hao
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, PR China
| | - Qiangwei Wang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, PR China
| | - Hongyu Sun
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, PR China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, PR China.
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26
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Li R, Budowle B, Sun H, Ge J. Linkage and linkage disequilibrium among the markers in the forensic MPS panels. J Forensic Sci 2021; 66:1637-1646. [PMID: 33885147 DOI: 10.1111/1556-4029.14724] [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: 02/16/2021] [Revised: 03/11/2021] [Accepted: 03/22/2021] [Indexed: 11/28/2022]
Abstract
For the past two to three decades, forensic DNA evidence has been analyzed with a limited number of short tandem repeats (STRs), and these STRs are usually assumed to be independent for statistical calculations. With the development and implementation of the MPS technologies, more autosomal markers, both single nucleotide polymorphisms (SNPs) and STRs, can be analyzed. A number of these markers are physically very close to each other, and it may not be appropriate to assume all these markers are genetically unlinked or in linkage equilibrium. In this study, publicly accessible genomic data from five representative populations were used to evaluate the genetic linkage and linkage disequilibrium (LD) between autosomal markers represented in six major commercial panels (in total, 362 markers). Among the 3041 syntenic marker pairs, 1524 pairs had sex-average genetic distances <50 cM, and thus, these marker pairs can be considered as genetically linked. Among the 143 marker pairs with physical distances <1 Mb, 19 LD haplotype blocks (comprising 39 SNPs in total) were detected for at least one of the tested populations. Statistical methods for interpreting linked markers and/or markers in LD were suggested for various case scenarios.
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Affiliation(s)
- Ran Li
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.,Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Bruce Budowle
- Center for Human Identification, University of North Texas Health Science Center, Fort Worth, TX, USA.,Department of Microbiology, Immunology, and Genetics, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Hongyu Sun
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.,Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Jianye Ge
- Center for Human Identification, University of North Texas Health Science Center, Fort Worth, TX, USA.,Department of Microbiology, Immunology, and Genetics, University of North Texas Health Science Center, Fort Worth, TX, USA
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27
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The forensic landscape and the population genetic analyses of Hainan Li based on massively parallel sequencing DNA profiling. Int J Legal Med 2021; 135:1295-1317. [PMID: 33847803 DOI: 10.1007/s00414-021-02590-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 03/26/2021] [Indexed: 12/30/2022]
Abstract
Due to the formation of the Qiongzhou Strait by climate change and marine transition, Hainan island was isolated from the mainland southern China during the Last Glacial Maximum. Hainan island, located at the southernmost part of China and separated from the Leizhou Peninsula by the Qiongzhou Strait, laid on one of the modern human northward migration routes from Southeast Asia to East Asia. The Hlai language-speaking Li minority, the second largest population after Han Chinese in Hainan island, is the direct descendants of the initial migrants in Hainan island and has unique ethnic properties and derived characteristics; however, the forensic-associated studies on Hainan Li population are still insufficient. Hence, 136 Hainan Li individuals were genotyped in this study using the MPS-based ForenSeq™ DNA Signature Prep Kit (DNA Primer Set A, DPMA) to characterize the forensic genetic polymorphism landscape, and DNA profiles were obtained from 152 different molecular genetic markers (27 autosomal STRs, 24 Y-STRs, 7 X-STRs, and 94 iiSNPs). A total of 419 distinct length variants and 586 repeat sequence sub-variants, with 31 novel alleles (at 17 loci), were identified across the 58 STR loci from the DNA profiles of Hainan Li population. We evaluated the forensic characteristics and efficiencies of DPMA, demonstrating that the STRs and iiSNPs in DPMA were highly polymorphic in Hainan Li population and could be employed in forensic applications. In addition, we set up three datasets, which included the genetic data of (i) iiSNPs (27 populations, 2640 individuals), (ii) Y-STRs (42 populations, 8281 individuals), and (iii) Y haplogroups (123 populations, 4837 individuals) along with the population ancestries and language families, to perform population genetic analyses separately from different perspectives. In conclusion, the phylogenetic analyses indicated that Hainan Li, with a southern East Asia origin and Tai-Kadai language-speaking language, is an isolated population relatively. But the genetic pool of Hainan Li influenced by the limited gene flows from other Tai-Kadai populations and Hainan populations. Furthermore, the establishment of isolated population models will be beneficial to clarify the exquisite population structures and develop specific genetic markers for subpopulations in forensic genetic fields.
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28
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Wen D, Sun S, Liu Y, Li J, Yang Z, Kureshi A, Fu Y, Li H, Jiang B, Jin C, Cai J, Zha L. Considering the flanking region variants of nonbinary SNP and phenotype-informative SNP to constitute 30 microhaplotype loci for increasing the discriminative ability of forensic applications. Electrophoresis 2021; 42:1115-1126. [PMID: 33483973 DOI: 10.1002/elps.202000341] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 12/22/2020] [Accepted: 01/15/2021] [Indexed: 12/15/2022]
Abstract
The flanking region variants of nonbinary SNPs and phenotype-informative SNPs (piSNPs) have been observed, which may greatly improve the discriminative ability after constituting microhaplotype. In this study, 30 microhaplotype loci based on the nonbinary SNPs and piSNPs (shown to be related to phenotypes such as hair and eye color) were selected. Genotyping were conducted on 100 unrelated northern Han Chinese, and the 26 populations from the 1000 Genome Project were also included for comparison of populations differentiation. The simulated study was conducted for evaluating the efficiency of kinship testing. These 30 microhaplotype loci we selected had good polymorphism, with a mean effective number of alleles (Ae) of 3.46. The average Ae increase was 1.27 compared with the target SNPs. The populations from the five regions worldwide could also be distinguished using these loci. The results of kinship testing showed that these microhaplotype loci had the similar ability as 15 STR loci of AmpFlSTRR IdentifilerR PCR Amplification Kit to identify the biological parent and a stronger ability to exclude the nonbiological parents. So, these 30 microhaplotype loci may be multifunctional for forensic application, including the ability of personal identification and kinship testing equivalent to 15 STR loci, and the power of ancestry inference for distinguishing the main intercontinental population. Moreover, our selected phenotypic microhaplotype loci may theoretically have phenotype prediction capabilities. But the phenotype prediction efficiency of these phenotypic microhaplotype loci may be worse than that of piSNPs and the detailed prediction accuracy of different populations needs to be further studied.
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Affiliation(s)
- Dan Wen
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, P. R. China
| | - Shule Sun
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, P. R. China
| | - Ying Liu
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, P. R. China
| | - Jienan Li
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, P. R. China
| | - Zedeng Yang
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, P. R. China
| | - Aliye Kureshi
- School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, P. R. China
| | - Yan Fu
- Huazhi Biotech Co., Ltd, Changsha, P. R. China
| | - Henan Li
- Microanaly Gene Technologies Co., Ltd, Hefei, P. R. China
| | - Bowei Jiang
- The First Research Institute of the Ministry of Public Security P.R.C, Beijing, P. R. China
| | - Chuan Jin
- The First Research Institute of the Ministry of Public Security P.R.C, Beijing, P. R. China
| | - Jifeng Cai
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, P. R. China
| | - Lagabaiyila Zha
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, P. R. China
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29
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Li R, Shen X, Chen H, Peng D, Wu R, Sun H. Developmental validation of the MGIEasy Signature Identification Library Prep Kit, an all-in-one multiplex system for forensic applications. Int J Legal Med 2021; 135:739-753. [PMID: 33523251 DOI: 10.1007/s00414-021-02507-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 01/08/2021] [Indexed: 01/23/2023]
Abstract
Analyzing genetic markers in nuclear and mitochondrial genomes is helpful in various forensic applications, such as individual identifications and kinship analyses. However, most commercial kits detect these markers separately, which is time-consuming, laborious, and more error-prone (mislabelling, contamination, ...). The MGIEasy Signature Identification Library Prep Kit (hereinafter "MGIEasy identification system"; MGI Tech, Shenzhen, China) has been designed to provide a simple, fast, and robust way to detect appropriate markers in one multiplex PCR reaction: 52 autosomal STRs, 27 X-chromosomal STRs, 48 Y-chromosomal STRs, 145 identity-informative SNPs, 53 ancestry-informative SNPs, 29 phenotype-informative SNPs, and the hypervariable regions of mitochondrial DNA (mtDNA). Here, we validated the performance of MGIEasy identification system following the guidelines of the Scientific Working Group on DNA Analysis Methods (SWGDAM), assessing species specificity, sensitivity, mixture identification, stability under non-optimal conditions (degraded samples, inhibitor contamination, and various substrates), repeatability, and concordance. Libraries prepared using MGIEasy identification system were sequenced on a MGISEQ-2000 instrument (MGI Tech). MGIEasy-derived STR, SNP, and mtDNA genotypes were highly concordant with CE-based STR genotypes (99.79%), MiSeq FGx-based SNP genotypes (99.78%), and Sanger-based mtDNA genotypes (100%), respectively. This system was strongly human-specific, resistant to four common PCR inhibitors, and reliably amplified both low quantities of DNA (as low as 0.125 ng) and degraded DNA (~ 150 nt). Most of the unique alleles from the minor contributor were detected in 1:10 male-female and male-male mixtures; some minor Y-STR alleles were even detected in 1:1000 male-female mixtures. MGIEasy also successfully directly amplified markers from blood stains on FTA cards, filter papers, and swabs. Thus, our results demonstrated that MGIEasy identification system was suitable for use in forensic analyses due to its robust and reliable performance on samples of varying quality and quantity.
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Affiliation(s)
- Ran Li
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.,Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou, 510080, Guangdong, People's Republic of China
| | - Xuefeng Shen
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.,Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou, 510080, Guangdong, People's Republic of China
| | - Hui Chen
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.,Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou, 510080, Guangdong, People's Republic of China
| | - Dan Peng
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.,Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou, 510080, Guangdong, People's Republic of China
| | - Riga Wu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.,Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou, 510080, Guangdong, People's Republic of China
| | - Hongyu Sun
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China. .,Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, No. 74 Zhongshan Road II, Guangzhou, 510080, Guangdong, People's Republic of China.
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30
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Zhang Y, Yu Z, Mo X, Zhao X, Li W, Liu H, Liu C, Wu R, Sun H. Comparative evaluation of autosomal STRs and X-chromosome STRs as a complement of autosomal STRs in kinship testing in Southern Han Chinese. Ann Hum Biol 2020; 48:66-69. [PMID: 33256486 DOI: 10.1080/03014460.2020.1856926] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Nowadays, kinship testing is very common in forensic caseworks, but the power of autosomal short tandem repeats (A-STRs) may be limited in complex cases. X-Chromosome short tandem repeats (X-STRs), having a unique heritage mode, should be of special use in some deficient cases. To evaluate and compare the potential of A-STR and X-STR as supplement genetic markers in deficient kinship testing, we simulated 10,000 duos for each of 18 kinds of relationships involving full sibling, half-sibling, grandparent-grandchild, and uncle/aunt-nephew/niece. Loci from STRTyper10, PowerPlex 16, and Investigator Argus X-12 were studied in Southern Han Chinese and the distribution of likelihood ratio (LR) values was analysed. With the addition of the X-12 system, the distribution of LR values for the full sisters, paternal half-sisters, paternal grandmother-granddaughters, maternal aunt-nieces, and maternal aunt-nephews separated much more obviously from those of unrelated duos, and the effectiveness was 1.0000, 0.99865, 0.9991, 0.8996 and 0.9634, respectively, which was more efficient than A-STRs. For the individual duos with other relationships, the effects of adding X-STRs and A-STRs were similar. Therefore, for the Southern Han Chinese, X-STRs can be very useful in kinship testing involving full sisters, paternal half-sisters, paternal grandmother-granddaughters, and maternal aunt-nieces/nephews.
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Affiliation(s)
- Yinming Zhang
- Institute of Forensic Science, Ministry of Public Security, Beijing, P.R. China.,Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, P.R. China.,Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, P.R. China
| | - Zhengliang Yu
- Institute of Forensic Science, Ministry of Public Security, Beijing, P.R. China
| | - Xiaoting Mo
- Institute of Forensic Science, Ministry of Public Security, Beijing, P.R. China
| | - Xingchun Zhao
- Institute of Forensic Science, Ministry of Public Security, Beijing, P.R. China
| | - Wanshui Li
- Institute of Forensic Science, Ministry of Public Security, Beijing, P.R. China
| | - Hong Liu
- Guangzhou Forensic Institute, Guangzhou, P.R. China
| | - Chao Liu
- Guangzhou Forensic Institute, Guangzhou, P.R. China
| | - Riga Wu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, P.R. China.,Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, P.R. China
| | - Hongyu Sun
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, P.R. China.,Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, P.R. China
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31
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Borsuk LA, Steffen CR, Kiesler KM, Vallone PM, Gettings KB. Sequence-based U.S. population data for 7 X-STR loci. FORENSIC SCIENCE INTERNATIONAL: REPORTS 2020. [DOI: 10.1016/j.fsir.2020.100160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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32
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Ma G, Cong B, Li S. AUCP: An indicator for system effectiveness of panels in pairwise distant kinship identification. Forensic Sci Int 2020; 316:110539. [DOI: 10.1016/j.forsciint.2020.110539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 09/15/2020] [Accepted: 10/05/2020] [Indexed: 11/26/2022]
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33
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Taylor CR, Kiesler KM, Sturk-Andreaggi K, Ring JD, Parson W, Schanfield M, Vallone PM, Marshall C. Platinum-Quality Mitogenome Haplotypes from United States Populations. Genes (Basel) 2020; 11:genes11111290. [PMID: 33138247 PMCID: PMC7716222 DOI: 10.3390/genes11111290] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 10/26/2020] [Accepted: 10/27/2020] [Indexed: 12/14/2022] Open
Abstract
A total of 1327 platinum-quality mitochondrial DNA haplotypes from United States (U.S.) populations were generated using a robust, semi-automated next-generation sequencing (NGS) workflow with rigorous quality control (QC). The laboratory workflow involved long-range PCR to minimize the co-amplification of nuclear mitochondrial DNA segments (NUMTs), PCR-free library preparation to reduce amplification bias, and high-coverage Illumina MiSeq sequencing to produce an average per-sample read depth of 1000 × for low-frequency (5%) variant detection. Point heteroplasmies below 10% frequency were confirmed through replicate amplification, and length heteroplasmy was quantitatively assessed using a custom read count analysis tool. Data analysis involved a redundant, dual-analyst review to minimize errors in haplotype reporting with additional QC checks performed by EMPOP. Applying these methods, eight sample sets were processed from five U.S. metapopulations (African American, Caucasian, Hispanic, Asian American, and Native American) corresponding to self-reported identity at the time of sample collection. Population analyses (e.g., haplotype frequencies, random match probabilities, and genetic distance estimates) were performed to evaluate the eight datasets, with over 95% of haplotypes unique per dataset. The platinum-quality mitogenome haplotypes presented in this study will enable forensic statistical calculations and thereby support the usage of mitogenome sequencing in forensic laboratories.
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Affiliation(s)
- Cassandra R. Taylor
- Armed Forces Medical Examiner System’s Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, DE 19002, USA; (C.R.T.); (K.S.-A.); (J.D.R.)
- SNA International, LLC; Alexandria, VA 22314, USA
| | - Kevin M. Kiesler
- National Institute of Standards and Technology (NIST), Gaithersburg, MD 20899, USA; (K.M.K.); (P.M.V.)
| | - Kimberly Sturk-Andreaggi
- Armed Forces Medical Examiner System’s Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, DE 19002, USA; (C.R.T.); (K.S.-A.); (J.D.R.)
- SNA International, LLC; Alexandria, VA 22314, USA
| | - Joseph D. Ring
- Armed Forces Medical Examiner System’s Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, DE 19002, USA; (C.R.T.); (K.S.-A.); (J.D.R.)
- SNA International, LLC; Alexandria, VA 22314, USA
| | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck 6020, Austria;
- Forensic Science Program, The Pennsylvania State University, State College, PA 16801, USA
| | - Moses Schanfield
- Department of Forensic Sciences, The George Washington University, Washington, DC 20007, USA;
| | - Peter M. Vallone
- National Institute of Standards and Technology (NIST), Gaithersburg, MD 20899, USA; (K.M.K.); (P.M.V.)
| | - Charla Marshall
- Armed Forces Medical Examiner System’s Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, DE 19002, USA; (C.R.T.); (K.S.-A.); (J.D.R.)
- SNA International, LLC; Alexandria, VA 22314, USA
- Forensic Science Program, The Pennsylvania State University, State College, PA 16801, USA
- Correspondence: ; Tel.: +1-302-346-8519
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Weymaere J, Vander Plaetsen AS, Tilleman L, Tytgat O, Rubben K, Geeraert S, Deforce D, Van Nieuwerburgh F. Kinship analysis on single cells after whole genome amplification. Sci Rep 2020; 10:14647. [PMID: 32887915 PMCID: PMC7474072 DOI: 10.1038/s41598-020-71562-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 08/18/2020] [Indexed: 11/18/2022] Open
Abstract
Short Tandem Repeat (STR-) and Single Nucleotide Polymorphism (SNP-) genotyping have been extensively studied within forensic kinship analysis. Nevertheless, no results have been reported on kinship analysis after whole genome amplification (WGA) of single cells. This WGA step is a necessary procedure in several applications, such as cell-based non-invasive prenatal testing (cbNIPT) and pre-implantation genetic diagnosis (PGD). In cbNIPT, all putative fetal cells must be discriminated from maternal cells after enrichment from whole blood. This study investigates the efficacy and evidential value of STR- and SNP-genotyping methods for the discrimination of 24 single cells after WGA, within three families. Formaldehyde-fixed and unfixed cells are assessed in offspring-parent duos and offspring-mother-father trios. Results demonstrate that both genotyping methods can be used in all tested conditions and scenarios with 100% sensitivity and 100% specificity, with a similar evidential value for fixed and unfixed cells. Moreover, sequence-based SNP-genotyping results in a higher evidential value than length-based STR-genotyping after WGA, which is not observed using high-quality offspring bulk DNA samples. Finally, it is also demonstrated that the availability of the DNA genotypes of both parents strongly increases the evidential value of the results.
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Affiliation(s)
- Jana Weymaere
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Gent, Belgium
| | - Ann-Sophie Vander Plaetsen
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Gent, Belgium
| | - Laurentijn Tilleman
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Gent, Belgium
| | - Olivier Tytgat
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Gent, Belgium.,Department of Life Science Technologies, Imec, 3001, Leuven, Belgium
| | - Kaat Rubben
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Gent, Belgium
| | - Sofie Geeraert
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Gent, Belgium
| | - Dieter Deforce
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Gent, Belgium
| | - Filip Van Nieuwerburgh
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Gent, Belgium.
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Development of a software for kinship analysis considering linkage and mutation based on a Bayesian network. Forensic Sci Int Genet 2020; 47:102279. [DOI: 10.1016/j.fsigen.2020.102279] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 02/08/2020] [Accepted: 03/17/2020] [Indexed: 12/11/2022]
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36
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Delest A, Godfrin D, Chantrel Y, Ulus A, Vannier J, Faivre M, Hollard C, Laurent FX. Sequenced-based French population data from 169 unrelated individuals with Verogen's ForenSeq DNA signature prep kit. Forensic Sci Int Genet 2020; 47:102304. [PMID: 32417726 DOI: 10.1016/j.fsigen.2020.102304] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 04/14/2020] [Accepted: 04/22/2020] [Indexed: 12/16/2022]
Abstract
Massively Parallel Sequencing (MPS) applied to forensic genetics allows the simultaneous analysis of hundreds of genetic markers and the access to full amplicon sequences which help to increase available allele diversity. Meanwhile, sequence variation within the repeat regions represents the majority of the allele diversity, flanking regions adjacent to the repeat core provide an additional degree of variation. The forensic genetics community needs access to population data, from relevant parts of the world that contain this new sequence diversity in order to perform statistical calculations. In this study, we report sequence-based Short Tandem Repeat (STR) and identity Single Nucleotide Polymorphism (iSNPs) allele data for 169 French individuals across 58 STRs and 92 SNPs included in the Verogen ForenSeq DNA Signature Prep kit. 42 STRs out of 58 showed an increased number of alleles due to sequence variation in the repeat motif and/or the flanking regions. D9S1122 showed the largest overall gain with an increase of observed heterozygosities of almost 25 %. The combined match probability combining 27 autosomal STRs and 91 identity SNPs was 1.11E-69. Sequence-based allele frequencies included in this publication will help forensic laboratories to increase the power of discrimination for identification, kinship analysis and mixture interpretation.
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Affiliation(s)
- Anna Delest
- Institut National de Police Scientifique, Laboratoire de Police Scientifique de Lyon, 31 Avenue, Franklin Roosevelt, 69134, Ecully Cedex, France.
| | - Dominique Godfrin
- Institut National de Police Scientifique, Laboratoire de Police Scientifique de Lyon, 31 Avenue, Franklin Roosevelt, 69134, Ecully Cedex, France
| | - Yann Chantrel
- Institut National de Police Scientifique, Laboratoire de Police Scientifique de Lyon, 31 Avenue, Franklin Roosevelt, 69134, Ecully Cedex, France
| | - Ayhan Ulus
- Institut National de Police Scientifique, Laboratoire de Police Scientifique de Lyon, 31 Avenue, Franklin Roosevelt, 69134, Ecully Cedex, France
| | - Julien Vannier
- Institut National de Police Scientifique, Laboratoire de Police Scientifique de Lyon, 31 Avenue, Franklin Roosevelt, 69134, Ecully Cedex, France
| | - Magalie Faivre
- Institut National de Police Scientifique, Laboratoire de Police Scientifique de Lyon, 31 Avenue, Franklin Roosevelt, 69134, Ecully Cedex, France
| | - Clémence Hollard
- Institut National de Police Scientifique, Laboratoire de Police Scientifique de Lyon, 31 Avenue, Franklin Roosevelt, 69134, Ecully Cedex, France
| | - François-Xavier Laurent
- Institut National de Police Scientifique, Laboratoire de Police Scientifique de Lyon, 31 Avenue, Franklin Roosevelt, 69134, Ecully Cedex, France.
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Zvénigorosky V, Sabbagh A, Gonzalez A, Fausser JL, Palstra F, Romanov G, Solovyev A, Barashkov N, Fedorova S, Crubézy É, Ludes B, Keyser C. The limitations of kinship determinations using STR data in ill-defined populations. Int J Legal Med 2020; 134:1981-1990. [PMID: 32318826 DOI: 10.1007/s00414-020-02298-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Accepted: 04/07/2020] [Indexed: 11/30/2022]
Abstract
The likelihood ratio (LR) method is commonly used to determine kinship in civil, criminal, or forensic cases. For the past 15 years, our research group has also applied LR to ancient STR data and obtained kinship results for collections of graves or necropolises. Although we were able to reconstruct large genealogies, some pairs of individuals showed ambiguous results. Second-degree relationships, half-sibling pairs for example, were often inconsistent with detected first-degree relationships, such as parent/child or brother/sister pairs. We therefore set about providing empirical estimations of the error rates for the LR method in living populations with STR allelic diversities comparable to that of the ancient populations we had previously studied. We collected biological samples in the field in North-Eastern Siberia and West Africa and studied more than 800 pairs of STR profiles from individuals with known relationships. Because commercial STR panels were constructed for specific regions (namely Europe and North America), their allelic makeup showed a significant deficit in diversity when compared to European populations, replicating a situation often faced in ancient DNA studies. We assessed the capacity of the LR method to confirm known relationships (effectiveness) and its capacity to detect those relationships (reliability). Concerns over the effectiveness of LR determinations are mostly an issue in forensic studies, while the reliability of the detection of kinship is an issue for the study of necropolises or other large gatherings of unidentified individuals, such as disaster victims or mass graves. We show that the application of LR to both test populations highlights specific issues (both false positives and false negatives) that prevent the confirmation of second-degree kinship or even full siblingship in small populations. Up to 29% of detected full sibling relationships were either overestimated half-sibling relationships or underestimated parent-offspring relationships. The error rate for detected half-sibling relationships was even higher, reaching 41%. Only parent-offspring pairs were reliably detected or confirmed. This implies that, in populations that are small, ill-defined, or for which the STR loci analyzed are inappropriate, an examiner might not be able to distinguish a pair of full siblings from a pair of half-siblings. Furthermore, half-sibling pairs might be overlooked altogether, an issue that is exacerbated by the common confusion, in many languages and cultures, between half-siblings and full siblings. Consequently, in the study of ancient populations, human remains of unknown origins, or poorly surveyed modern populations, we recommend a conservative approach to kinship determined by LR. Next-generation sequencing data should be used when possible, but the costs and technology involved might be prohibitive. Therefore, in potentially contentious situations or cases lacking sufficient external information, uniparental markers should be analyzed: ideally, complete mitochondrial genomes and Y-chromosome haplotypes (STR, SNP, and/or sequencing).
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Affiliation(s)
- Vincent Zvénigorosky
- CNRS FRE 2029-BABEL,, Paris Descartes University, Paris, France. .,Strasbourg Institute of Legal Medicine, Strasbourg, France.
| | - Audrey Sabbagh
- UMR 261 MERIT, IRD, Paris Descartes University, Paris, France
| | | | | | - Friso Palstra
- UMR 261 MERIT, IRD, Paris Descartes University, Paris, France
| | - Georgii Romanov
- Laboratory of Molecular Biology, North-Eastern Federal University, Yakutsk, Sakha Republic, Russia.,Laboratory of Molecular Genetics, Yakut Science-Centre of Complex Medical Problems, Yakutsk, Sakha Republic, Russia
| | - Aisen Solovyev
- Laboratory of Molecular Biology, North-Eastern Federal University, Yakutsk, Sakha Republic, Russia.,Institute for Humanitarian Studies and Problems of Indigenous Peoples of the North, Yakutsk, Sakha Republic, Russia
| | - Nikolay Barashkov
- Laboratory of Molecular Biology, North-Eastern Federal University, Yakutsk, Sakha Republic, Russia.,Laboratory of Molecular Genetics, Yakut Science-Centre of Complex Medical Problems, Yakutsk, Sakha Republic, Russia
| | - Sardana Fedorova
- Laboratory of Molecular Biology, North-Eastern Federal University, Yakutsk, Sakha Republic, Russia.,Laboratory of Molecular Genetics, Yakut Science-Centre of Complex Medical Problems, Yakutsk, Sakha Republic, Russia
| | - Éric Crubézy
- CNRS UMR 5288 AMIS, Toulouse Paul Sabatier University, Toulouse, France
| | - Bertrand Ludes
- CNRS FRE 2029-BABEL,, Paris Descartes University, Paris, France
| | - Christine Keyser
- CNRS FRE 2029-BABEL,, Paris Descartes University, Paris, France.,Strasbourg Institute of Legal Medicine, Strasbourg, France
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Cho S, Kim MY, Lee JH, Lee HY, Lee SD. Large-scale identification of human bone remains via SNP microarray analysis with reference SNP database. Forensic Sci Int Genet 2020; 47:102293. [PMID: 32276230 DOI: 10.1016/j.fsigen.2020.102293] [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: 05/25/2019] [Revised: 03/10/2020] [Accepted: 03/20/2020] [Indexed: 10/24/2022]
Abstract
Single nucleotide polymorphisms (SNPs) are valuable markers complementary to conventional forensic short tandem repeat (STR) markers in genetic typing, with potential advantages in challenging forensic casework. With the advent of high-throughput technologies, such as microarrays and massively parallel sequencing, the use of SNP typing has now expanded to large-scale forensic applications. Herein, a forensic case is presented to demonstrate the usefulness of SNP typing in identifying large-scale human bone remains with reference database construction. A total of 402 bone remains were recovered from an island in the Jeju Province of Korea where a massive disaster occurred in 1948. The first phase of the identification process was accomplished via conventional DNA typing methods including autosomal and Y-chromosomal STR typing, and mitochondrial DNA sequencing, which resulted in the identification of 74 of 402 remains. The second phase of the identification involved the remaining 327 unidentified remains using SNP typing as a supplementary tool based on Affymetrix resequencing array. The SNP markers of 782 family members were also analyzed and a reference database was constructed for comparison. An additional 51 bone remains were identified in the second phase. SNP data obtained from the supplementary genotyping yielded additional genetic information as well as contributed to kinship testing to determine the second degrees of relationship. In addition SNPs are useful in discriminating ambiguous relationship when only STR data are available. A software program developed for SNP typing system enabled efficient kinship analysis for large-scale forensic identification. The results and the casework are described and discussed.
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Affiliation(s)
- Sohee Cho
- Institute of Forensic and Anthropological Science, Seoul National University College of Medicine, Seoul, South Korea
| | - Moon-Young Kim
- Institute of Forensic and Anthropological Science, Seoul National University College of Medicine, Seoul, South Korea
| | - Ji Hyun Lee
- Department of Forensic Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Hwan Young Lee
- Institute of Forensic and Anthropological Science, Seoul National University College of Medicine, Seoul, South Korea; Department of Forensic Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Soong Deok Lee
- Institute of Forensic and Anthropological Science, Seoul National University College of Medicine, Seoul, South Korea; Department of Forensic Medicine, Seoul National University College of Medicine, Seoul, South Korea.
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39
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Hwa HL, Wu MY, Lee JCI, Yin HI, Hsu PM, Li SF, Hwu WL, Su CW. Analysis of nondegraded and degraded DNA mixtures of close relatives using massively parallel sequencing. Leg Med (Tokyo) 2020; 42:101631. [DOI: 10.1016/j.legalmed.2019.101631] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 08/30/2019] [Accepted: 09/21/2019] [Indexed: 10/25/2022]
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40
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Slooten K. Likelihood ratio distributions and the (ir)relevance of error rates. Forensic Sci Int Genet 2020; 44:102173. [DOI: 10.1016/j.fsigen.2019.102173] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 08/29/2019] [Accepted: 09/30/2019] [Indexed: 12/15/2022]
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41
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Alsafiah HM, Aljanabi AA, Hadi S, Alturayeif SS, Goodwin W. An evaluation of the SureID 23comp Human Identification Kit for kinship testing. Sci Rep 2019; 9:16859. [PMID: 31727926 PMCID: PMC6856129 DOI: 10.1038/s41598-019-52838-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 10/21/2019] [Indexed: 01/16/2023] Open
Abstract
Short tandem repeat (STR) profiling has been routinely used in kinship testing since the introduction of commercial kits in the mid-1990s. While 15 to 23 STR loci normally give definitive results in simple kinship testing, additional loci are sometimes required to resolve complex cases. The SureID 23comp Human Identification Kit, recently released by Health Gene Technologies (China), multiplexes amelogenin and 22 autosomal STRs, 17 of which are non-CODIS STRs. This enables the profiling of 38–40 loci when used in conjunction with widely used commercial kits. In this study, the kit was evaluated for kinship applications as a supplementary STR kit following the minimum criteria for validation recommended by the European Network of Forensic Science Institutes (ENFSI) and the Scientific Working Group on DNA Analysis Methods (SWGDAM) using 500 samples. Performance was comparable with other commercial kits demonstrating: repeatability and reproducibility; precision (maximum s.d. 0.1048 nt); accuracy, all alleles were within ±0.41 nt compared to the actual sizes; heterozygous peak balances at all loci >68%; stutter ratios ranged from 3.8% to 16.15%; full profiles were generated with 125 pg DNA (95.12% of alleles at 62 pg),; and we found 100% concordance over 5 common STRs with the GlobalFiler kit.
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Affiliation(s)
- Hussain M Alsafiah
- School of Forensic and Applied Sciences, University of Central Lancashire, Preston, United Kingdom. .,Forensic Genetics Laboratory, General Administration of Criminal Evidences, Public Security, Ministry of Interior, Riyadh, Saudi Arabia.
| | - Ali A Aljanabi
- School of Forensic and Applied Sciences, University of Central Lancashire, Preston, United Kingdom
| | - Sibte Hadi
- School of Forensic and Applied Sciences, University of Central Lancashire, Preston, United Kingdom
| | - Saleh S Alturayeif
- Forensic Genetics Laboratory, General Administration of Criminal Evidences, Public Security, Ministry of Interior, Riyadh, Saudi Arabia
| | - William Goodwin
- School of Forensic and Applied Sciences, University of Central Lancashire, Preston, United Kingdom.
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42
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Pilot study for forensic evaluations of the Precision ID GlobalFiler™ NGS STR Panel v2 with the Ion S5™ system. Forensic Sci Int Genet 2019; 43:102147. [DOI: 10.1016/j.fsigen.2019.102147] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 08/14/2019] [Accepted: 08/14/2019] [Indexed: 01/23/2023]
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43
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Perego UA, Bodner M, Raveane A, Woodward SR, Montinaro F, Parson W, Achilli A. Resolving a 150-year-old paternity case in Mormon history using DTC autosomal DNA testing of distant relatives. Forensic Sci Int Genet 2019; 42:1-7. [DOI: 10.1016/j.fsigen.2019.05.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 05/31/2019] [Accepted: 05/31/2019] [Indexed: 01/01/2023]
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