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Gu C, Huo W, Huang X, Chen L, Tian S, Ran Q, Ren Z, Wang Q, Yang M, Ji J, Liu Y, Zhong M, Wang K, Song D, Huang J, Zhang H, Jin X. Developmental and validation of a novel small and high-efficient panel of microhaplotypes for forensic genetics by the next generation sequencing. BMC Genomics 2024; 25:958. [PMID: 39402483 PMCID: PMC11475632 DOI: 10.1186/s12864-024-10880-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Accepted: 10/08/2024] [Indexed: 10/19/2024] Open
Abstract
BACKGROUND In the domain of forensic science, the application of kinship identification and mixture deconvolution techniques are of critical importance, providing robust scientific evidence for the resolution of complex cases. Microhaplotypes, as the emerging class of genetic markers, have been widely studied in forensics due to their high polymorphisms and excellent stability. RESULTS AND DISCUSSION In this research, a novel and high-efficient panel integrating 33 microhaplotype loci along with a sex-determining locus was developed by the next generation sequencing technology. In addition, we also assessed its forensic utility and delved into its capacity for kinship analysis and mixture deconvolution. The average effective number of alleles (Ae) of the 33 microhaplotype loci in the Guizhou Han population was 6.06, and the Ae values of 30 loci were greater than 5. The cumulative power of discrimination and cumulative power of exclusion values of the novel panel in the Guizhou Han population were 1-5.6 × 10- 43 and 1-1.6 × 10- 15, respectively. In the simulated kinship analysis, the panel could effectively distinguish between parent-child, full-sibling, half-sibling, grandfather-grandson, aunt-nephew and unrelated individuals, but uncertainty rates clearly increased when distinguishing between first cousins and unrelated individuals. For the mixtures, the novel panel had demonstrated excellent performance in estimating the number of contributors of mixtures with 1 to 5 contributors in combination with the machine learning methods. CONCLUSIONS In summary, we have developed a small and high-efficient panel for forensic genetics, which could provide novel insights into forensic complex kinships testing and mixture deconvolution.
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Affiliation(s)
- Changyun Gu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550025, China
| | - Weipeng Huo
- Ningbo HEALTH Gene Technology Co., Ltd, Ningbo, 315042, China
| | - Xiaolan Huang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550025, China
| | - Li Chen
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550025, China
| | - Shunyi Tian
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550025, China
| | - Qianchong Ran
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550025, China
| | - Zheng Ren
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550025, China
| | - Qiyan Wang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550025, China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550025, China
| | - Jingyan Ji
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550025, China
| | - Yubo Liu
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550025, China
| | - Min Zhong
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550025, China
| | - Kang Wang
- Ningbo HEALTH Gene Technology Co., Ltd, Ningbo, 315042, China
| | - Danlu Song
- Ningbo HEALTH Gene Technology Co., Ltd, Ningbo, 315042, China
| | - Jiang Huang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou, 550025, China.
| | - Hongling Zhang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550025, China.
| | - Xiaoye Jin
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, 550025, China.
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Liu Y, Sun C, Si H, Peng Z, Gu L, Guo X, Song F. Bibliometric analysis of kinship analysis from 1960 to 2023: global trends and development. Front Genet 2024; 15:1401898. [PMID: 38903754 PMCID: PMC11187311 DOI: 10.3389/fgene.2024.1401898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 05/17/2024] [Indexed: 06/22/2024] Open
Abstract
Kinship analysis is a crucial aspect of forensic genetics. This study analyzed 1,222 publications on kinship analysis from 1960 to 2023 using bibliometric analysis techniques, investigating the annual publication and citation patterns, most productive countries, organizations, authors and journals, most cited documents and co-occurrence of keywords. The initial publication in this field occurred in 1960. Since 2007, there has been a significant increase in publications, with over 30 published annually except for 2010. China had the most publications (n = 213, 17.43%), followed by the United States (n = 175, 14.32%) and Germany (n = 89, 7.28%). The United States also had the highest citation count. Sichuan University in China has the largest number of published articles. The University of Leipzig and the University of Cologne in Germany exhibit the highest total citation count and average citation, respectively. Budowle B was the most prolific author and Kayser M was the most cited author. In terms of publications, Forensic Science International- Genetics, Forensic Science International, and International Journal of Legal Medicine were the most prolific journals. Among them, Forensic Science International-Genetics boasted the highest h-index, citation count, and average citation rate. The most frequently cited publication was "Van Oven M, 2009, Hum Mutat", with a total of 1,361 citations. The most frequent co-occurrence keyword included "DNA", "Loci", "Paternity testing", "Population", "Markers", and "Identification", with recent interest focusing on "Kinship analysis", "SNP" and "Inference". The current research is centered around microhaplotypes, forensic genetic genealogy, and massively parallel sequencing. The field advanced with new DNA analysis methods, tools, and genetic markers. Collaborative research among nations, organizations, and authors benefits idea exchange, problem-solving efficiency, and high-quality results.
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Affiliation(s)
| | | | | | | | | | | | - Feng Song
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
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Tang X, Wen D, Jin X, Wang C, Xu W, Qu W, Xu R, Jia H, Liu Y, Li X, Chen S, Fu X, Liang B, Li J, Liu Y, Zha L. A preliminary study on identification of the blood donor in a body fluid mixture using a novel compound genetic marker blood-specific methylation-microhaplotype. Forensic Sci Int Genet 2024; 70:103031. [PMID: 38493735 DOI: 10.1016/j.fsigen.2024.103031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 03/06/2024] [Accepted: 03/06/2024] [Indexed: 03/19/2024]
Abstract
Blood-containing mixtures are frequently encountered at crime scenes involving violence and murder. However, the presence of blood, and the association of blood with a specific donor within these mixtures present significant challenges in forensic analysis. In light of these challenges, this study sought to address these issues by leveraging blood-specific methylation sites and closely linked microhaplotype sites, proposing a novel composite genetic marker known as "blood-specific methylation-microhaplotype". This marker was designed to the detection of blood and the determination of blood donor within blood-containing mixtures. According to the selection criteria mentioned in the Materials and Methods section, we selected 10 blood-specific methylation-microhaplotype loci for inclusion in this study. Among these loci, eight exhibited blood-specific hypomethylation, while the remaining two displayed blood-specific hypermethylation. Based on data obtained from 124 individual samples in our study, the combined discrimination power (CPD) of these 10 successfully sequenced loci was 0.999999298. The sample allele methylation rate (Ram) was obtained from massive parallel sequencing (MPS), which was defined as the proportion of methylated reads to the total clustered reads that were genotyped to a specific allele. To develop an allele type classification model capable of identifying the presence of blood and the blood donor, we used the Random Forest algorithm. This model was trained and evaluated using the Ram distribution of individual samples and the Ram distribution of simulated shared alleles. Subsequently, we applied the developed allele type classification model to predict alleles within actual mixtures, trying to exclude non-blood-specific alleles, ultimately allowing us to identify the presence of blood and the blood donor in the blood-containing mixtures. Our findings demonstrate that these blood-specific methylation-microhaplotype loci have the capability to not only detect the presence of blood but also accurately associate blood with the true donor in blood-containing mixtures with the mixing ratios of 1:29, 1:19, 1:9, 1:4, 1:2, 2:1, 7:1, 8:1, 31:1 and 36:1 (blood:non-blood) by DNA mixture interpretation methods. In addition, the presence of blood and the true blood donor could be identified in a mixture containing four body fluids (blood:vaginal fluid:semen:saliva = 1:1:1:1). It is important to note that while these loci exhibit great potential, the impact of allele dropouts and alleles misidentification must be considered when interpreting the results. This is a preliminary study utilising blood-specific methylation-microhaplotype as a complementary tool to other well-established genetic markers (STR, SNP, microhaplotype, etc.) for the analysis in blood-containing mixtures.
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Affiliation(s)
- Xuan Tang
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Dan Wen
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Xin Jin
- Department of Public Security of Hainan Province, Haikou, Hainan Province, PR China
| | - Chudong Wang
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Wei Xu
- Central Laboratory, Hunan Provincal People's Hospital (The First Affiliated Hospitak of Hunan Normal University), Changsha, Hunan Province 410000, PR China
| | - Weifeng Qu
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Ruyi Xu
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Hongtao Jia
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Yi Liu
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Xue Li
- Department of Forensic Medicine, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830017, PR China
| | - Siqi Chen
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Xiaoyi Fu
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Bin Liang
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Jienan Li
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Ying Liu
- Xiangya Stomatological Collage, Central South University, No72. Xiangya Road, Changsha, Hunan 410013, PR China.
| | - Lagabaiyila Zha
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China; Hebei Key Laboratory of Forensic Medicine, School of Forensic Medicine, Hebei Medical University, Shijiazhuang, PR 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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Casanova-Adán L, Mosquera-Miguel A, González-Bao J, Ambroa-Conde A, Ruiz-Ramírez J, Cabrejas-Olalla A, González-Martín E, Freire-Aradas A, Rodríguez-López A, Phillips C, Lareu MV, de la Puente M. Adapting an established Ampliseq microhaplotype panel to nanopore sequencing through direct PCR. Forensic Sci Int Genet 2023; 67:102937. [PMID: 37812882 DOI: 10.1016/j.fsigen.2023.102937] [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: 07/19/2023] [Revised: 09/21/2023] [Accepted: 09/27/2023] [Indexed: 10/11/2023]
Abstract
We have adapted an established Ampliseq microhaplotype panel for nanopore sequencing with the Oxford Nanopore Technologies (ONT) system, as a cost-effective and highly scalable solution for forensic genetics applications. For this purpose, we designed a protocol combining direct PCR amplification from unextracted DNA with ONT library construction and sequencing using the MinION device and workflow. The analysis of reference samples at input amounts of 5-10 ng of DNA demonstrates stable coverage patterns, allele balance, and strand bias, reaching profile completeness and concordance rates of ∼95%. Similar levels were achieved when using direct-PCR from blood, buccal and semen swabs. Dilution series results indicate sensitivity is maintained down to 250 pg of input DNA, and informative profiles are produced down to 62.5 pg. Finally, we demonstrated the forensic utility of the nanopore workflow by analyzing two third degree pedigrees that showed low likelihood ratio values after the analysis of an extended panel of 38 STRs, achieving likelihood ratios 2-3 orders of magnitude higher when testing with the MinION-based haplotype data.
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Affiliation(s)
- L Casanova-Adán
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - A Mosquera-Miguel
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - J González-Bao
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - A Ambroa-Conde
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - J Ruiz-Ramírez
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - A Cabrejas-Olalla
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - E González-Martín
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - A Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - A Rodríguez-López
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - C Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - M V Lareu
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - M de la Puente
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain.
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Liu J, Su Y, Wen Y, Jiang L, Li S, Zhao M, Chen X, Wang Z. Massively parallel sequencing of 74 microhaplotypes and forensic characteristics in three Chinese Sino-Tibetan populations. Forensic Sci Int Genet 2023; 66:102905. [PMID: 37301091 DOI: 10.1016/j.fsigen.2023.102905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 04/27/2023] [Accepted: 06/05/2023] [Indexed: 06/12/2023]
Abstract
Microhaplotype (MH), as an emerging type of forensic genetic marker in recent years, has the potential to support multiple forensic applications, especially for mixture deconvolution and biogeographic ancestry inference. Herein, we investigated the genotype data of 74 MHs included in a novel MH panel, the Ion AmpliSeq MH-74 Plex Microhaplotype Research Panel, in three Chinese Sino-Tibetan populations (Han, Tibetan, and Yi) using the Ion Torrent semiconductor sequencing. The sequencing performance, allele frequencies, effective number of alleles (Ae), informativeness (In), and forensic parameters were subsequently estimated and calculated. In addition, principal component analysis (PCA) and structure analysis were performed to explore the population relationships among the three populations and the ancestry component distribution. Overall, this novel MH panel is robust and reliable, and has an excellent sequencing performance. The Ae values ranged from 1.0126 to 7.0855 across all samples, and 75.68 % of MHs had Ae values >2.0000. Allele frequencies at some loci varied considerably among the three studied populations, and the mean In value was 0.0195. Moreover, the genetic affinity between Tibetans and Yis was closer than that between Tibetans and Hans. The aforementioned results suggest that the Ion AmpliSeq MH-74 Plex Microhaplotype Research Panel is highly polymorphic in three investigated populations and could be used as an effective tool for human forensics. Although these 74 MHs have demonstrated the competency in continental population stratification, a higher resolution for distinguishing intracontinental subpopulations and a more comprehensive database with sufficient reference population data still remain to be accomplished.
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Affiliation(s)
- Jing Liu
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Yonglin Su
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu 610044, China
| | - Yufeng Wen
- School of Life Sciences, Jilin University, Changchun 130012, China
| | - Lirong Jiang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Suyu Li
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Mengyao Zhao
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Xiacan Chen
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China.
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7
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Cui W, Chen M, Yang Y, Cai M, Lan Q, Xie T, Zhu B. Applications of 1993 single nucleotide polymorphism loci in forensic pairwise kinship identifications and inferences. Forensic Sci Int Genet 2023; 65:102889. [PMID: 37247510 DOI: 10.1016/j.fsigen.2023.102889] [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: 12/19/2022] [Revised: 04/19/2023] [Accepted: 05/11/2023] [Indexed: 05/31/2023]
Abstract
Kinship testing plays critical roles in criminal investigations, missing person searches, civil disputes, as well as identifying disaster victims. The existing commonly used short tandem repeat (STR) loci have limited effectiveness in the identification of second-degree and more distant kinships. In this study, a total of 1993 SNP loci of 119 Chinese Han individuals from eight families were sequenced on the MGISEQ-2000RS platform. The system powers of this panel for kinship identifications were evaluated based on both the likelihood ratio (LR) and identical by state (IBS) methods. The results indicated that this panel could be used as an effective tool to kinship analyses including paternity testing, full sibling testing, second-degree kinships, and first cousin kinship analyses. Both the LR and IBS methods could be applied in distinguishing first-degree and second-degree pairs from unrelated individuals. Based on the 1993 SNP loci, LR>1000 and LR<0.001 are recommended as the thresholds of identifying first-cousin kinships from unrelated individuals, and the system power of such thresholds was 0.9470. Besides, kinship coefficients for different kinship pairs were estimated and then were used to predict the kinships for pairwise individuals. This panel performs an effective kinship inference power for the predictions of first-degree, second-degree kinships and unrelated individual pairs, while presenting low sensitivity in the prediction of first-cousin kinships.
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Affiliation(s)
- Wei Cui
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Man Chen
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Yan Yang
- Golden Bridge Big Data Technology Co., LTD, Beijing, China
| | - Meiming Cai
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Qiong Lan
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China; Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Tong Xie
- 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, Guangdong, China.
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8
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Zhang R, Xue J, Tan M, Chen D, Xiao Y, Liu G, Zheng Y, Wu Q, Liao M, Lv M, Qu S, Liang W. An MPS-Based 50plex Microhaplotype Assay for Forensic DNA Analysis. Genes (Basel) 2023; 14:genes14040865. [PMID: 37107623 PMCID: PMC10137789 DOI: 10.3390/genes14040865] [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: 04/08/2023] Open
Abstract
Microhaplotypes (MHs) are widely accepted as powerful markers in forensic studies. They have the advantage of both short tandem repeats (STRs) and single nucleotide polymorphisms (SNPs), with no stutter and amplification bias, short fragments and amplicons, low mutation and recombination rates, and high polymorphisms. In this study, we constructed a panel of 50 MHs that are distributed on 21 chromosomes and analyzed them using the Multiseq multiple polymerase chain reaction (multi-PCR) targeted capture sequencing protocol based on the massively parallel sequencing (MPS) platform. The sizes of markers and amplicons ranged between 11–81 bp and 123–198 bp, respectively. The sensitivity was 0.25 ng, and the calling results were consistent with Sanger sequencing and the Integrative Genomics Viewer (IGV). It showed measurable polymorphism among sequenced 137 Southwest Chinese Han individuals. No significant deviations in the Hardy–Weinberg equilibrium (HWE) and linkage disequilibrium (LD) were found at all MHs after Bonferroni correction. Furthermore, the specificity was 1:40 for simulated two-person mixtures, and the detection rates of highly degraded single samples and mixtures were 100% and 93–100%, respectively. Moreover, animal DNA testing was incomplete and low depth. Overall, our MPS-based 50-plex MH panel is a powerful forensic tool that provides a strong supplement and enhancement for some existing panels.
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Affiliation(s)
- Ranran Zhang
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, No. 17, Section 3, Renmin South Road, Wuhou District, Chengdu 610041, China
| | - Jiaming Xue
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, No. 17, Section 3, Renmin South Road, Wuhou District, Chengdu 610041, China
| | - Mengyu Tan
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, No. 17, Section 3, Renmin South Road, Wuhou District, Chengdu 610041, China
| | - Dezhi Chen
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, No. 17, Section 3, Renmin South Road, Wuhou District, Chengdu 610041, China
| | - Yuanyuan Xiao
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, No. 17, Section 3, Renmin South Road, Wuhou District, Chengdu 610041, China
| | - Guihong Liu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, No. 17, Section 3, Renmin South Road, Wuhou District, Chengdu 610041, China
| | - Yazi Zheng
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, No. 17, Section 3, Renmin South Road, Wuhou District, Chengdu 610041, China
| | - Qiushuo Wu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, No. 17, Section 3, Renmin South Road, Wuhou District, Chengdu 610041, China
| | - Miao Liao
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, No. 17, Section 3, Renmin South Road, Wuhou District, Chengdu 610041, China
- West China Forensics Center, Sichuan University, No. 16, Section 3, Renmin South Road, Wuhou District, Chengdu 610041, China
| | - Meili Lv
- Department of Immunology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, No. 17, Section 3, Renmin South Road, Wuhou District, Chengdu 610041, China
| | - Shengqiu Qu
- West China Forensics Center, Sichuan University, No. 16, Section 3, Renmin South Road, Wuhou District, Chengdu 610041, China
| | - Weibo Liang
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, No. 17, Section 3, Renmin South Road, Wuhou District, Chengdu 610041, China
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