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Liu G, Zheng Y, Wu Q, Feng T, Xia Y, Chen D, Ren L, Bai X, Li Q, Chen D, Lv M, Liao M, Liang W, Zhang L, Qu S. Assessment of ForenSeq mtDNA Whole Genome Kit for forensic application. Int J Legal Med 2023; 137:1693-1703. [PMID: 37731065 DOI: 10.1007/s00414-023-03084-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 09/07/2023] [Indexed: 09/22/2023]
Abstract
Mitochondrial DNA (mtDNA) is an indispensable genetic marker in forensic genetics. The emergence and development of massively parallel sequencing (MPS) makes it possible to obtain complete mitochondrial genome sequences more quickly and accurately. The study evaluated the advantages and limitations of the ForenSeq mtDNA Whole Genome Kit in the practical application of forensic genetics by detecting human genomic DNA standards and thirty-three case samples. We used control DNA with different amount to determine sensitivity of the assay. Even when the input DNA is as low as 2.5 pg, most of the mitochondrial genome sequences could still be covered. For the detection of buccal swabs and aged case samples (bloodstains, bones, teeth), most samples could achieve complete coverage of mitochondrial genome. However, when ancient samples and hair samples without hair follicles were sequenced by the kit, it failed to obtain sequence information. In general, the ForenSeq mtDNA Whole Genome Kit has certain applicability to forensic low template and degradation samples, and these results provide the data basis for subsequent forensic applications of the assay. The overall detection process and subsequent analysis are easy to standardize, and it has certain application potential in forensic cases.
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Affiliation(s)
- Guihong Liu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China
| | - Yazi Zheng
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China
| | - Qiushuo Wu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China
| | - Tao Feng
- Criminal Investigation Bureau, Chengdu Public Security Bureau, Criminal Science and Technology Division, Chengdu, 610000, Sichuan, China
| | - Yu Xia
- Criminal Investigation Bureau, Chengdu Public Security Bureau, Criminal Science and Technology Division, Chengdu, 610000, Sichuan, China
| | - Dan Chen
- Criminal Investigation Bureau, Chengdu Public Security Bureau, Criminal Science and Technology Division, Chengdu, 610000, Sichuan, China
| | - Li Ren
- Criminal Investigation Bureau, Chengdu Public Security Bureau, Criminal Science and Technology Division, Chengdu, 610000, Sichuan, China
| | - Xiaogang Bai
- Criminal Investigation Bureau, Chengdu Public Security Bureau, Criminal Science and Technology Division, Chengdu, 610000, Sichuan, China
| | - Qingqing Li
- Criminal Investigation Bureau, Chengdu Public Security Bureau, Criminal Science and Technology Division, Chengdu, 610000, Sichuan, China
| | - Dezhi Chen
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China
| | - Meili Lv
- Department of Immunology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Miao Liao
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China
| | - Weibo Liang
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China
| | - Lin Zhang
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China.
| | - Shengqiu Qu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China.
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Fan H, He Y, Li S, Xie Q, Wang F, Du Z, Fang Y, Qiu P, Zhu B. Systematic Evaluation of a Novel 6-dye Direct and Multiplex PCR-CE-Based InDel Typing System for Forensic Purposes. Front Genet 2022; 12:744645. [PMID: 35082827 PMCID: PMC8784372 DOI: 10.3389/fgene.2021.744645] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 10/29/2021] [Indexed: 12/16/2022] Open
Abstract
Insertion/deletion (InDel) polymorphisms, combined desirable characteristics of both short tandem repeats (STRs) and single nucleotide polymorphisms (SNPs), are considerable potential in the fields of forensic practices and population genetics. However, most commercial InDel kits designed based on non-Asians limited extensive forensic applications in East Asian (EAS) populations. Recently, a novel 6-dye direct and multiplex PCR-CE-based typing system was designed on the basis of genome-wide EAS population data, which could amplify 60 molecular genetic markers, consisting of 57 autosomal InDels (A-InDels), 2 Y-chromosomal InDels (Y-InDels), and Amelogenin in a single PCR reaction and detect by capillary electrophoresis, simultaneously. In the present study, the DNA profiles of 279 unrelated individuals from the Hainan Li group were generated by the novel typing system. In addition, we collected two A-InDel sets to evaluate the forensic performances of the novel system in the 1,000 Genomes Project (1KG) populations and Hainan Li group. For the Universal A-InDel set (UAIS, containing 44 A-InDels) the cumulative power of discrimination (CPD) ranged from 1-1.03 × 10-14 to 1-1.27 × 10-18, and the cumulative power of exclusion (CPE) varied from 0.993634 to 0.999908 in the 1KG populations. For the East Asia-based A-InDel set (EAIS, containing 57 A-InDels) the CPD spanned from 1-1.32 × 10-23 to 1-9.42 × 10-24, and the CPE ranged from 0.999965 to 0.999997. In the Hainan Li group, the average heterozygote (He) was 0.4666 (0.2366-0.5448), and the polymorphism information content (PIC) spanned from 0.2116 to 0.3750 (mean PIC: 0.3563 ± 0.0291). In total, the CPD and CPE of 57 A-InDels were 1-1.32 × 10-23 and 0.999965, respectively. Consequently, the novel 6-dye direct and multiplex PCR-CE-based typing system could be considered as the reliable and robust tool for human identification and intercontinental population differentiation, and supplied additional information for kinship analysis in the 1KG populations and Hainan Li group.
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Affiliation(s)
- Haoliang Fan
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
- School of Basic Medicine and Life Science, Hainan Medical University, Haikou, China
| | - Yitong He
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Shuanglin Li
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Qiqian Xie
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Fenfen Wang
- First Clinical Medical College, Hainan Medical University, Haikou, China
| | - Zhengming Du
- First Clinical Medical College, Hainan Medical University, Haikou, China
| | - Yating Fang
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Pingming Qiu
- 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
- Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
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Chu YL, Li H, Ng PLA, Kong ST, Zhang H, Lin Y, Tai WCS, Yu ACS, Yim AKY, Tsang HF, Cho WCS, Wong SCC. The potential of circulating exosomal RNA biomarkers in cancer. Expert Rev Mol Diagn 2020; 20:665-678. [PMID: 32188269 DOI: 10.1080/14737159.2020.1745064] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 03/17/2020] [Indexed: 02/04/2023]
Abstract
INTRODUCTION There are great potentials of using exosomal RNAs (exoRNA) as biomarkers in cancers. The isolation of exoRNA requires the use of ultracentrifugation to isolate cell-free RNA followed by detection using real-time PCR, microarray, next-generation sequencing, or Nanostring nCounter system. The use of exoRNA enrichment panels has largely increased the detection sensitivity and specificity when compared to traditional diagnostic tests. Moreover, using exoRNA as biomarkers can assist the early detection of chemo and radioresistance cancer, and in turn opens up the possibility of personalized treatment to patients. Finally, exoRNA can be detected at an early stage of cancer recurrence to improve the survival rate. AREAS COVERED In this review, the authors summarized the detection methods of exoRNA as well as its potential as a biomarker in cancer diagnosis and chemo and radioresistance. EXPERT OPINION The application of exoRNAs in clinical diagnosis is still in its infancy. Further researches on extracellular vesicles isolation, detection protocols, exoRNA classes and subclasses, and the regulatory biological pathways have to be performed before exoRNA can be applied translationally.
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Affiliation(s)
- Yin Lam Chu
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University , Kowloon, Hong Kong
| | - Harriet Li
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University , Kowloon, Hong Kong
| | - Pik Lan Amanda Ng
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University , Kowloon, Hong Kong
| | - Siu Ting Kong
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University , Kowloon, Hong Kong
| | - Hao Zhang
- Institute of Precision Cancer Medicine and Pathology, Jinan University Medical College , Guangzhou, Guangdong, China
| | - Yusheng Lin
- Department of Immunotherapy and Gastrointestinal Oncology, Affiliated Cancer Hospital of Shantou University Medical College , Shantou, Guangdong, China
| | - William Chi Shing Tai
- Department of Applied Biology and Chemical Technology, Faculty of Applied Sciences and Textiles, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region , Kowloon, China
| | | | | | - Hin Fung Tsang
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University , Kowloon, Hong Kong
| | | | - Sze Chuen Cesar Wong
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University , Kowloon, Hong Kong
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Kuffel A, Gray A, Nic Daeid N. Human Leukocyte Antigen alleles as an aid to STR in complex forensic DNA samples. Sci Justice 2019; 60:1-8. [PMID: 31924284 DOI: 10.1016/j.scijus.2019.09.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 09/09/2019] [Accepted: 09/15/2019] [Indexed: 10/25/2022]
Abstract
Human biological samples with multiple contributors remain one of the most challenging aspects of DNA typing within a forensic science context. With the increasing sensitivity of commercially available kits allowing detection of low template DNA, complex mixtures are now a standard component of forensic DNA evidence. Over the years, various methods and techniques have been developed to try to resolve the issue of mixed profiles. However, forensic DNA analysis has relied on the same markers to generate DNA profiles for the past 30 years causing considerable challenges in the deconvolution of complex mixed samples. The future of resolving complicated DNA mixtures may rely on utilising markers that have been previously applied to gene typing of non-forensic relevance. With Massively Parallel Sequencing (MPS), techniques becoming more popular and accessible even epigenetic markers have become a source of interest for forensic scientists. The aim of this review is to consider the potential of alleles from the Human Leukocyte Antigen (HLA) complex as effective forensic markers. While Massively Parallel Sequencing of HLA is routinely used in clinical laboratories in fields such as transplantation, pharmacology or population studies, there have not been any studies testing its suitability for forensic casework samples.
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Affiliation(s)
- Agnieszka Kuffel
- Leverhulme Research Centre for Forensic Science, Ewing Building, University of Dundee, Small's Lane, Dundee DD1 4HR, United Kingdom.
| | - Alexander Gray
- Leverhulme Research Centre for Forensic Science, Ewing Building, University of Dundee, Small's Lane, Dundee DD1 4HR, United Kingdom.
| | - Niamh Nic Daeid
- Leverhulme Research Centre for Forensic Science, Ewing Building, University of Dundee, Small's Lane, Dundee DD1 4HR, United Kingdom.
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A review of bioinformatic methods for forensic DNA analyses. Forensic Sci Int Genet 2017; 33:117-128. [PMID: 29247928 DOI: 10.1016/j.fsigen.2017.12.005] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Revised: 11/30/2017] [Accepted: 12/10/2017] [Indexed: 12/20/2022]
Abstract
Short tandem repeats, single nucleotide polymorphisms, and whole mitochondrial analyses are three classes of markers which will play an important role in the future of forensic DNA typing. The arrival of massively parallel sequencing platforms in forensic science reveals new information such as insights into the complexity and variability of the markers that were previously unseen, along with amounts of data too immense for analyses by manual means. Along with the sequencing chemistries employed, bioinformatic methods are required to process and interpret this new and extensive data. As more is learnt about the use of these new technologies for forensic applications, development and standardization of efficient, favourable tools for each stage of data processing is being carried out, and faster, more accurate methods that improve on the original approaches have been developed. As forensic laboratories search for the optimal pipeline of tools, sequencer manufacturers have incorporated pipelines into sequencer software to make analyses convenient. This review explores the current state of bioinformatic methods and tools used for the analyses of forensic markers sequenced on the massively parallel sequencing (MPS) platforms currently most widely used.
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