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Tsai LC, Liu KL, Lin WY, Lin YC, Huang NE, Lee JCI, Linacre A, Hsieh HM. Evaluation of three commercial kits effective identification of menstrual blood based on the D-dimer. Forensic Sci Int 2022; 338:111389. [PMID: 35849993 DOI: 10.1016/j.forsciint.2022.111389] [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: 05/28/2022] [Revised: 07/04/2022] [Accepted: 07/11/2022] [Indexed: 11/28/2022]
Abstract
Blood or bloodstains are encountered frequently in forensic investigations. Presumptive and more confirmatory tests for peripheral blood are well established, however, similar methods for menstrual blood identification are less so. D-dimer is a fibrin degradation product that occurs at high concentration in menstrual blood and therefore a potential target to screen for this body fluid. We evaluated three rapid tests to determine if they can discriminate menstrual blood from peripheral remote from a laboratory setting. Their sensitivity, specificity and robustness were also assessed. The assays were: a latex agglutination (Dade Dimertest Latex Assay), SERATEC PMB test and OneStep D-dimer RapidCard InstaTest, both of which are based on lateral flow immunochromatographic analysis. Of the three, greater sensitivity was observed using the OneStep D-dimer RapidCard InstaTest, regardless of whether liquid or a stain was used. This test also detected a result using the smallest volume of menstrual blood, 0.003125 μL. Specificity testing was based on six different body fluids (urine, saliva, peripheral blood, semen, sweats and vaginal fluid) resulting in all 30 samples testing negative for the D-dimer using the OneStep D-dimer RapidCard InstaTest. Mixtures at ratios 1:1, 1:3 and 1:9 (menstrual blood: the other biofluid or PBS) were tested and the results showed that D-dimer could be detected for all samples using either the Dade Dimertest Latex Assay or the OneStep D-dimer RapidCard InstaTest. The body fluids were exposed to environmental stresses such as various temperature (-20 °C, 4 °C, room temperature and 37 °C for 30, 90, 180 and 360 days) and fluctuations in humidity (42%, 76% and 100% humidity at room temperature for 1, 3, 5, 10 and 20 days): all samples were D-dimer positive using the OneStep D-dimer RapidCard InstaTest though the strength decreased relative to the increase of storage time and temperature or humidity. All 6 postmortem blood samples gave a positive result for D-dimer using the OneStep D-dimer RapidCard InstaTest and 2 samples gave a positive response using the Dade Dimertest Latex Assay and the SERATEC PMB test; peripheral blood postmortem samples can show an increase in D-dimer. Menstrual blood was recovered from the pads under the sample wells after testing using the two immunochromatographic assays from which STR alleles could be amplified successfully. The results presented here support the application of these commercial kits for effective identification of menstrual blood.
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Affiliation(s)
- Li-Chin Tsai
- Department of Forensic Science, Central Police University, No.56 Shu-Jen Road, Kwei-San, Taoyuan 333322, Taiwan, ROC
| | - Kuo-Lan Liu
- Forensic Examination Division, Criminal Investigation Bureau, National Police Agency, No.5 Lane 553, Chung Hsiao East Road Section 4, Xinyi District, Taipei 110055, Taiwan, ROC
| | - Wan-Ying Lin
- Department of Forensic Science, Central Police University, No.56 Shu-Jen Road, Kwei-San, Taoyuan 333322, Taiwan, ROC
| | - Yu-Chih Lin
- Taichung City Government Police Department, No.500 Fengxing Road Section 1, Tanzi District, Taichung City 427003, Taiwan, ROC
| | - Nu-En Huang
- Forensic Biology Division, Criminal Investigation Bureau, National Police Agency, No.5 Lane 553, Chung Hsiao East Road Section 4, Xinyi District, Taipei 110055, Taiwan, ROC
| | - James Chun-I Lee
- Department of Forensic Medicine, College of Medicine, National Taiwan University, No.1 Jen-Ai Road Section 1, Taipei 100233, Taiwan, ROC
| | - Adrian Linacre
- College of Science & Engineering, Flinders University, Adelaide 5001, Australia
| | - Hsing-Mei Hsieh
- Department of Forensic Science, Central Police University, No.56 Shu-Jen Road, Kwei-San, Taoyuan 333322, Taiwan, ROC.
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Developments in forensic DNA analysis. Emerg Top Life Sci 2021; 5:381-393. [PMID: 33792660 PMCID: PMC8457771 DOI: 10.1042/etls20200304] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 12/20/2022]
Abstract
The analysis of DNA from biological evidence recovered in the course of criminal investigations can provide very powerful evidence when a recovered profile matches one found on a DNA database or generated from a suspect. However, when no profile match is found, when the amount of DNA in a sample is too low, or the DNA too degraded to be analysed, traditional STR profiling may be of limited value. The rapidly expanding field of forensic genetics has introduced various novel methodologies that enable the analysis of challenging forensic samples, and that can generate intelligence about the donor of a biological sample. This article reviews some of the most important recent advances in the field, including the application of massively parallel sequencing to the analysis of STRs and other marker types, advancements in DNA mixture interpretation, particularly the use of probabilistic genotyping methods, the profiling of different RNA types for the identification of body fluids, the interrogation of SNP markers for predicting forensically relevant phenotypes, epigenetics and the analysis of DNA methylation to determine tissue type and estimate age, and the emerging field of forensic genetic genealogy. A key challenge will be for researchers to consider carefully how these innovations can be implemented into forensic practice to ensure their potential benefits are maximised.
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Tian H, Bai P, Tan Y, Li Z, Peng D, Xiao X, Zhao H, Zhou Y, Liang W, Zhang L. A new method to detect methylation profiles for forensic body fluid identification combining ARMS-PCR technique and random forest model. Forensic Sci Int Genet 2020; 49:102371. [DOI: 10.1016/j.fsigen.2020.102371] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 08/02/2020] [Accepted: 08/09/2020] [Indexed: 02/08/2023]
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Xie B, Song F, Wang S, Zhang K, Li Y, Luo H. Exploring a multiplex DNA methylation-based SNP typing method for body fluids identification: As a preliminary report. Forensic Sci Int 2020; 313:110329. [PMID: 32531484 DOI: 10.1016/j.forsciint.2020.110329] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 04/29/2020] [Accepted: 05/04/2020] [Indexed: 01/25/2023]
Abstract
In forensic investigation, identification of the cellular origin from body fluid can be essential in the crime scene reconstruction. Recently, DNA methylation could potentially be used as a novel marker for body fluid identification. The simultaneous analysis of CpGs and neighboring single nucleotide polymorphisms (SNPs) has been proposed as an efficient assay for body fluids identification. In this study, a multiplex DNA methylation-based SNP typing system was developed. The specificity, sensitivity and detectability in mixtures and degraded samples were explored in our study. As results, four DNA methylation-based semen-specific SNP (SE1-4) showed good specificity, but two markers associative with saliva (SA1) and vaginal fluid (VA3) was observed cross-reactivity sporadically. Interesting, VA3 were found only presented in the female which may be useful for sexual identification. Moreover, this multiplex system successfully amplification in mixtures and aged samples which proves it be used as a valuable protocol in the identification of actual forensic samples. The strategy indicated that the approach was suitable and reliable for the body fluids analysis in mix stains in Han Chinese for forensic purposes.
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Affiliation(s)
- Bowen Xie
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Feng Song
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Shuangshuang Wang
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Ke Zhang
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Yingbi Li
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Haibo Luo
- Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China.
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Díez López C, Montiel González D, Haas C, Vidaki A, Kayser M. Microbiome-based body site of origin classification of forensically relevant blood traces. Forensic Sci Int Genet 2020; 47:102280. [PMID: 32244163 DOI: 10.1016/j.fsigen.2020.102280] [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: 10/16/2019] [Revised: 03/18/2020] [Accepted: 03/18/2020] [Indexed: 12/12/2022]
Abstract
Human blood traces are amongst the most commonly encountered biological stains collected at crime scenes. Identifying the body site of origin of a forensic blood trace can provide crucial information in many cases, such as in sexual and violent assaults. However, means for reliably and accurately identifying from which body site a forensic blood trace originated are missing, but would be highly valuable in crime scene investigations. With this study, we introduce a taxonomy-independent deep neural network approach based on massively parallel microbiome sequencing, which delivers accurate body site of origin classification of forensically-relevant blood samples, such as menstrual, nasal, fingerprick, and venous blood. A total of 50 deep neural networks were trained using a large 16S rRNA gene sequencing dataset from 773 reference samples, including 220 female urogenital tract, 190 nasal cavity, 213 skin, and 150 venous blood samples. Validation was performed with de-novo generated 16S rRNA gene massively parallel sequencing (MPS) data from 94 blood test samples of four different body sites, and achieved high classification accuracy with AUC values at 0.992 for menstrual blood (N = 23), 0.978 for nasal blood (N = 16), 0.978 for fingerprick blood (N = 30), and 0.990 for venous blood (N = 25). The obtained highly accurate classification of menstrual blood was independent of the day of the menses, as established in additional 86 menstrual blood test samples. Accurate body site of origin classification was also revealed for 45 fresh and aged mock casework blood samples from all four body sites. Our novel microbiome approach works based on the assumption that a sample is from blood, as can be obtained in forensic practise from prior presumptive blood testing, and provides accurate information on the specific body source of blood, with high potentials for future forensic applications.
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Affiliation(s)
- Celia Díez López
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Diego Montiel González
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Cordula Haas
- Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland
| | - Athina Vidaki
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands.
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands.
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McCord BR, Gauthier Q, Cho S, Roig MN, Gibson-Daw GC, Young B, Taglia F, Zapico SC, Mariot RF, Lee SB, Duncan G. Forensic DNA Analysis. Anal Chem 2019; 91:673-688. [PMID: 30485738 DOI: 10.1021/acs.analchem.8b05318] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Bruce R McCord
- Department of Chemistry , Florida International University , Miami , Florida 33199 , United States
| | - Quentin Gauthier
- Department of Chemistry , Florida International University , Miami , Florida 33199 , United States
| | - Sohee Cho
- Department of Forensic Medicine , Seoul National University , Seoul , 08826 , South Korea
| | - Meghan N Roig
- Department of Chemistry , Florida International University , Miami , Florida 33199 , United States
| | - Georgiana C Gibson-Daw
- Department of Chemistry , Florida International University , Miami , Florida 33199 , United States
| | - Brian Young
- Niche Vision, Inc. , Akron , Ohio 44311 , United States
| | - Fabiana Taglia
- Department of Chemistry , Florida International University , Miami , Florida 33199 , United States
| | - Sara C Zapico
- Department of Chemistry , Florida International University , Miami , Florida 33199 , United States
| | - Roberta Fogliatto Mariot
- Department of Chemistry , Florida International University , Miami , Florida 33199 , United States
| | - Steven B Lee
- Forensic Science Program, Justice Studies Department , San Jose State University , San Jose , California 95192 , United States
| | - George Duncan
- Department of Chemistry , Florida International University , Miami , Florida 33199 , United States
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Recent progress, methods and perspectives in forensic epigenetics. Forensic Sci Int Genet 2018; 37:180-195. [PMID: 30176440 DOI: 10.1016/j.fsigen.2018.08.008] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 08/15/2018] [Indexed: 01/19/2023]
Abstract
Forensic epigenetics, i.e., investigating epigenetics variation to resolve forensically relevant questions unanswerable with standard forensic DNA profiling has been gaining substantial ground over the last few years. Differential DNA methylation among tissues and individuals has been proposed as useful resource for three forensic applications i) determining the tissue type of a human biological trace, ii) estimating the age of an unknown trace donor, and iii) differentiating between monozygotic twins. Thus far, forensic epigenetic investigations have used a wide range of methods for CpG marker discovery, prediction modelling and targeted DNA methylation analysis, all coming with advantages and disadvantages when it comes to forensic trace analysis. In this review, we summarize the most recent literature on these three main topics of current forensic epigenetic investigations and discuss limitations and practical considerations in experimental design and data interpretation, such as technical and biological biases. Moreover, we provide future perspectives with regard to new research questions, new epigenetic markers and recent technological advances that - as we envision - will move the field towards forensic epigenomics in the near future.
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Richards R, Patel J, Stevenson K, Harbison S. Evaluation of massively parallel sequencing for forensic DNA methylation profiling. Electrophoresis 2018; 39:2798-2805. [DOI: 10.1002/elps.201800086] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 04/06/2018] [Accepted: 05/02/2018] [Indexed: 02/06/2023]
Affiliation(s)
- Rebecca Richards
- Forensic Science Programme, School of Chemical Sciences; University of Auckland; Auckland New Zealand
- Institute of Environmental Science & Research Ltd. (ESR); Auckland New Zealand
| | - Jayshree Patel
- Institute of Environmental Science & Research Ltd. (ESR); Auckland New Zealand
| | - Kate Stevenson
- Institute of Environmental Science & Research Ltd. (ESR); Auckland New Zealand
| | - SallyAnn Harbison
- Institute of Environmental Science & Research Ltd. (ESR); Auckland New Zealand
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