Pub Date : 2022-12-01DOI: 10.1016/j.fsigss.2022.10.047
Maarten Kruijver , Duncan Taylor , John Buckleton
Frequency estimation for Y-STR haplotypes is a challenging problem because limited data are available and complex dependencies exist within the data. As a result, various statistical methods have been proposed for frequency estimation. The discrete Laplace method has been recommended in some contexts by the DNA commission of the ISFG. This method is limited to haplotypes with single integer repeat alleles only at all loci. We propose a generalisation of the method that handles duplicated loci such as DYS385 and less common alleles that are not integer repeats. The extension is implemented in an experimental R package called disclapmix2.
{"title":"An experimental extension to the discrete Laplace method for Y-STR haplotype frequency estimation","authors":"Maarten Kruijver , Duncan Taylor , John Buckleton","doi":"10.1016/j.fsigss.2022.10.047","DOIUrl":"https://doi.org/10.1016/j.fsigss.2022.10.047","url":null,"abstract":"<div><p>Frequency estimation for Y-STR haplotypes is a challenging problem because limited data are available and complex dependencies exist within the data. As a result, various statistical methods have been proposed for frequency estimation. The discrete Laplace method has been recommended in some contexts by the DNA commission of the ISFG. This method is limited to haplotypes with single integer repeat alleles only at all loci. We propose a generalisation of the method that handles duplicated loci such as DYS385 and less common alleles that are not integer repeats. The extension is implemented in an experimental <span>R</span> package called <span>disclapmix2</span>.</p></div>","PeriodicalId":56262,"journal":{"name":"Forensic Science International: Genetics Supplement Series","volume":"8 ","pages":"Pages 237-238"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1875176822000816/pdfft?md5=15cbb18bdc46b231ddd0d493ece3830d&pid=1-s2.0-S1875176822000816-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71876626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1016/j.fsigss.2022.10.052
Corina C.G. Benschop , Charissa van Kooten , Dion Zandstra , Pieterjan Sjoukema , Francisca E. Duijs , Margreet van den Berge , Colin Schepers , Jeroen Mandersloot , Rolf Ypma
In this study, a DNA decision support tool was developed. With this tool we aim to gain insight in what actions are performed with which (types of) DNA profiles in casework, to improve decision making by DNA experts in future cases.
{"title":"Using previous DNA casework data to aid decision making in the process of DNA profile interpretation","authors":"Corina C.G. Benschop , Charissa van Kooten , Dion Zandstra , Pieterjan Sjoukema , Francisca E. Duijs , Margreet van den Berge , Colin Schepers , Jeroen Mandersloot , Rolf Ypma","doi":"10.1016/j.fsigss.2022.10.052","DOIUrl":"https://doi.org/10.1016/j.fsigss.2022.10.052","url":null,"abstract":"<div><p>In this study, a DNA decision support tool was developed. With this tool we aim to gain insight in what actions are performed with which (types of) DNA profiles in casework, to improve decision making by DNA experts in future cases.</p></div>","PeriodicalId":56262,"journal":{"name":"Forensic Science International: Genetics Supplement Series","volume":"8 ","pages":"Pages 251-253"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1875176822000889/pdfft?md5=7e1a138bff3ac7b3fd27609f121c59fc&pid=1-s2.0-S1875176822000889-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71876953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the conventional method of DNA extraction from nails, it takes approximately half a day to dissolve the nails. In this study, we examined whether using the HOrizontal Nail MAshing (HONMA) method, in which pressure is applied to the nail to crush it flat and increase its surface area, would improve DNA extraction efficiency. Fingernails (5 mg) provided by ten volunteers were used as samples. Nail pieces (1–3 pieces), shredded with nail clippers, were thinly stretched by applying 2 t of pressure to each piece using a hydraulic press. DNA was extracted by incubation at 56 °C for 10 min and 1 h during proteolysis. DNA yield from the nails pretreated using the HONMA method increased by 0.20–7.10 times compared with that from unprocessed nails. In particular, 10-min incubation using the HONMA method resulted in an average 2.05-fold increase in DNA yield compared with that under overnight incubation. However, the impact of using the HONMA method varied widely among individuals, and the amount of extracted DNA decreased in some cases, suggesting that the yield may differ depending on the nail quality.
在从指甲中提取DNA的传统方法中,溶解指甲大约需要半天时间。在这项研究中,我们检验了使用HOrizontal Nail MAshing(HONMA)方法是否会提高DNA提取效率,在该方法中,对指甲施加压力,使其变平并增加其表面积。使用10名志愿者提供的指甲(5mg)作为样本。用指甲刀切碎的指甲片(1-3片),通过使用液压机对每片施加2吨压力,将其薄薄地拉伸。在蛋白水解过程中,通过在56°C下孵育10分钟和1小时来提取DNA。使用HOMMA方法预处理的指甲的DNA产量比未处理的指甲增加了0.20–7.10倍。特别是,与过夜孵育相比,使用HOMMA方法孵育10分钟导致DNA产量平均增加2.05倍。然而,使用HOMMA方法的影响因个体而异,在某些情况下提取的DNA量减少,这表明产量可能因指甲质量而异。
{"title":"Examination of pretreatment methods for DNA extraction from nails","authors":"Eriko Ochiai , Minoru Asogawa , Wataru Irie , Chizuko Sasaki , Naomi Nakamaru , Momoko Sakamoto , Junpei Nagato , Junichiro Saito , Masatoshi Sugisawa , Fumiko Satoh","doi":"10.1016/j.fsigss.2022.09.039","DOIUrl":"https://doi.org/10.1016/j.fsigss.2022.09.039","url":null,"abstract":"<div><p>In the conventional method of DNA extraction from nails, it takes approximately half a day to dissolve the nails. In this study, we examined whether using the HOrizontal Nail MAshing (HONMA) method, in which pressure is applied to the nail to crush it flat and increase its surface area, would improve DNA extraction efficiency. Fingernails (5 mg) provided by ten volunteers were used as samples. Nail pieces (1–3 pieces), shredded with nail clippers, were thinly stretched by applying 2 t of pressure to each piece using a hydraulic press. DNA was extracted by incubation at 56 °C for 10 min and 1 h during proteolysis. DNA yield from the nails pretreated using the HONMA method increased by 0.20–7.10 times compared with that from unprocessed nails. In particular, 10-min incubation using the HONMA method resulted in an average 2.05-fold increase in DNA yield compared with that under overnight incubation. However, the impact of using the HONMA method varied widely among individuals, and the amount of extracted DNA decreased in some cases, suggesting that the yield may differ depending on the nail quality.</p></div>","PeriodicalId":56262,"journal":{"name":"Forensic Science International: Genetics Supplement Series","volume":"8 ","pages":"Pages 110-111"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1875176822000373/pdfft?md5=e1e9c348567ac10e75faf9c110ce4feb&pid=1-s2.0-S1875176822000373-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71875985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1016/j.fsigss.2022.09.009
Lidong Luo, Yiqiong Wu, James Todd, James Ruth, Eric Podlaszewski, Sarah Copeland, Teresa Snyder-Leiby, Changsheng Liu
GeneMarker®HTS is a rapid, user-friendly software for forensic mtDNA and STR analysis with high throughput sequencing (HTS)/ next generation sequencing (NGS)/ massively parallel sequencing (MPS) data. Compared to the traditional capillary electrophoresis (CE) allele separation, HTS data provides a precise description of the repeat allele structure for each STR locus including the variants in the flanking areas for iso-allele genotype reporting and for future use in probabilistic genotyping analyses. The variants in the repeat region or the flanking area may in some cases cause failure for identification of STR/Y-STR alleles. To increase the accuracy, an iterated sequence alignment method is used to detect alleles. First, we align sequences to GRCh38 to determine the repeat sequence. Then, using the repeat sequence, we perform a second alignment that minimizes alignment errors and improves accuracy for repeat number. Stutters are also identified by stutter filters. To validate the method, concordance study is made and the concordance with the CE allele calls for 22 Autosomal STR Loci, 22 Chr Y STR Loci and Amelogenin is 100 % for NIST-2391d samples and 99.93 % for a 651 sample NIST-Promega dataset. The identification error due to sequence variants coupled with STR repeats is solved.
GeneMarker®HTS是一款快速、用户友好的软件,用于法医mtDNA和STR分析,具有高通量测序(HTS)/下一代测序(NGS)/大规模平行测序(MPS)数据。与传统的毛细管电泳(CE)等位基因分离相比,HTS数据提供了每个STR基因座重复等位基因结构的精确描述,包括侧翼区域的变体,用于等位基因型报告和未来用于概率基因分型分析。重复区或侧翼区的变体在某些情况下可能导致STR/Y-STR等位基因鉴定失败。为了提高准确性,使用迭代序列比对方法来检测等位基因。首先,我们将序列与GRCh38比对以确定重复序列。然后,使用重复序列,我们进行第二次比对,最大限度地减少比对误差,并提高重复次数的准确性。口吃者也可以通过口吃过滤器来识别。为了验证该方法,进行了一致性研究,NIST-2391d样本的22个常染色体STR基因座、22个Chr Y STR基因座和Amelogenin与CE等位基因的一致性为100%,NIST Promega 651样本的数据集为99.93%。解决了STR重复序列变异引起的识别错误。
{"title":"Identification of STR/Y-STR alleles with tolerance for variants and stutter detection using GeneMarker®HTS software","authors":"Lidong Luo, Yiqiong Wu, James Todd, James Ruth, Eric Podlaszewski, Sarah Copeland, Teresa Snyder-Leiby, Changsheng Liu","doi":"10.1016/j.fsigss.2022.09.009","DOIUrl":"https://doi.org/10.1016/j.fsigss.2022.09.009","url":null,"abstract":"<div><p>GeneMarker®HTS is a rapid, user-friendly software for forensic mtDNA and STR analysis with high throughput sequencing (HTS)/ next generation sequencing (NGS)/ massively parallel sequencing (MPS) data. Compared to the traditional capillary electrophoresis (CE) allele separation, HTS data provides a precise description of the repeat allele structure for each STR locus including the variants in the flanking areas for iso-allele genotype reporting and for future use in probabilistic genotyping analyses. The variants in the repeat region or the flanking area may in some cases cause failure for identification of STR/Y-STR alleles. To increase the accuracy, an iterated sequence alignment method is used to detect alleles. First, we align sequences to GRCh38 to determine the repeat sequence. Then, using the repeat sequence, we perform a second alignment that minimizes alignment errors and improves accuracy for repeat number. Stutters are also identified by stutter filters. To validate the method, concordance study is made and the concordance with the CE allele calls for 22 Autosomal STR Loci, 22 Chr Y STR Loci and Amelogenin is 100 % for NIST-2391d samples and 99.93 % for a 651 sample NIST-Promega dataset. The identification error due to sequence variants coupled with STR repeats is solved.</p></div>","PeriodicalId":56262,"journal":{"name":"Forensic Science International: Genetics Supplement Series","volume":"8 ","pages":"Pages 23-25"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1875176822000105/pdfft?md5=f51d19e57cf348cfc7bd30fce5e4d402&pid=1-s2.0-S1875176822000105-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71876087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1016/j.fsigss.2022.09.007
Sarah Ingram , Arianna DeCorte , M. Katherine Philpott , Taylor Moldenhauer , Sonja Stadler , Cory Steinberg , Jonathan Millman , Christopher J. Ehrhardt
This work explores morphological and autofluorescence differences between vaginal and epidermal cells detectable through Imaging Flow Cytometry (IFC), a non-destructive, high-throughput technique. These differences were used to build a predictive framework for classifying unknown cells as originating from vaginal or epidermal tissue, which was tested on hand swabbings with and without digital penetration. Many more cells possessing a vaginal signature (median posterior probability ≥0.90) were detected in digital penetration samples than control hand swabbings. Minimum interpretation thresholds were developed to minimize/eliminate false positives; these thresholds were also effective when screening licked hands, indicating the potential utility of this method for a variety of biological mixture types and depositional events relevant to forensic casework.
{"title":"Differentiation of vaginal cells from epidermal cells using morphological and autofluorescence properties: Implications for sexual assault casework involving digital penetration","authors":"Sarah Ingram , Arianna DeCorte , M. Katherine Philpott , Taylor Moldenhauer , Sonja Stadler , Cory Steinberg , Jonathan Millman , Christopher J. Ehrhardt","doi":"10.1016/j.fsigss.2022.09.007","DOIUrl":"https://doi.org/10.1016/j.fsigss.2022.09.007","url":null,"abstract":"<div><p>This work explores morphological and autofluorescence differences between vaginal and epidermal cells detectable through Imaging Flow Cytometry (IFC), a non-destructive, high-throughput technique. These differences were used to build a predictive framework for classifying unknown cells as originating from vaginal or epidermal tissue, which was tested on hand swabbings with and without digital penetration. Many more cells possessing a vaginal signature (median posterior probability ≥0.90) were detected in digital penetration samples than control hand swabbings. Minimum interpretation thresholds were developed to minimize/eliminate false positives; these thresholds were also effective when screening licked hands, indicating the potential utility of this method for a variety of biological mixture types and depositional events relevant to forensic casework.</p></div>","PeriodicalId":56262,"journal":{"name":"Forensic Science International: Genetics Supplement Series","volume":"8 ","pages":"Pages 17-19"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1875176822000087/pdfft?md5=e18b7b4e56d3a6d91d00d2fa35f55120&pid=1-s2.0-S1875176822000087-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71876088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
SE33 was a well-known autosomal short tandem repeat (STR) marker that was high polymorphic and therefore was high discrimination power. The sequence structure of STR markers has been increasingly explored with next-generation sequencing (NGS) technology. The sequencing resulted in the development of a new locus designation and allele nomenclature that was also backward compatible with the conventional capillary electrophoresis. SE33 was one of the STR markers that had been coamplified by Forenseq™ Signature Prep Kit (Verogen) but were not analyzed and illustrated in the Universal Analysis Software (UAS) (Verogen). This study reported an ambiguous sequence-based allele 16.3 of the SE33 locus. This allele was observed while analyzed by STRait Razor 3.0. The configuration file was modified from the previous studies to include 15 bp of 5′ flanking region and 24 bp of 3′ flanking region. The ambiguous allele was called 16.3 (106 bp) with a read count of 2070. However, the sequence of the repeat region cannot be designated as allele 16.3. Several possible scenarios for allele designation were presented and discussed.
{"title":"An ambiguous sequence-based allele of SE33","authors":"Tikumphorn Sathirapatya , Hasnee Noh , Poonyapat Sukawutthiya , Wikanda Worrapitirungsi , Kornkiat Vongpaisarnsin","doi":"10.1016/j.fsigss.2022.10.013","DOIUrl":"https://doi.org/10.1016/j.fsigss.2022.10.013","url":null,"abstract":"<div><p>SE33 was a well-known autosomal short tandem repeat (STR) marker that was high polymorphic and therefore was high discrimination power. The sequence structure of STR markers has been increasingly explored with next-generation sequencing (NGS) technology. The sequencing resulted in the development of a new locus designation and allele nomenclature that was also backward compatible with the conventional capillary electrophoresis. SE33 was one of the STR markers that had been coamplified by Forenseq™ Signature Prep Kit (Verogen) but were not analyzed and illustrated in the Universal Analysis Software (UAS) (Verogen). This study reported an ambiguous sequence-based allele 16.3 of the SE33 locus. This allele was observed while analyzed by STRait Razor 3.0. The configuration file was modified from the previous studies to include 15 bp of 5′ flanking region and 24 bp of 3′ flanking region. The ambiguous allele was called 16.3 (106 bp) with a read count of 2070. However, the sequence of the repeat region cannot be designated as allele 16.3. Several possible scenarios for allele designation were presented and discussed.</p></div>","PeriodicalId":56262,"journal":{"name":"Forensic Science International: Genetics Supplement Series","volume":"8 ","pages":"Pages 143-144"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1875176822000440/pdfft?md5=2d3a3acace8e3656e24d38bce85ebbbf&pid=1-s2.0-S1875176822000440-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71876374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1016/j.fsigss.2022.10.004
S. Cisana , M. Omedei , M. Di Nunzio , F. Seganti , V. Brenzini , A. Coppi , A. Berti , C. Di Nunzio , P. Garofano , E. Alladio
Cannabis sativa is a worldwide commercial plant used for medicinal purposes, food and fiber production, and also as a recreational drug. Therefore, the identification and differentiation between legal and illegal C. sativa is of great importance for forensic investigations. In this study, principal component analysis (PCA), an exploratory data analysis technique, was tested to correlate the specific genotype with the concentration of tetrahydrocannabinol (THC) in the samples. C. sativa samples were obtained from legal growers in Piedmont, Italy, and from illegal drug seizures in the Turin region. DNA was extracted, quantified, amplified with a 13-loci multiplex STR and finally analyzed with an automated sequencer. The results showed a trend in the analyzed samples as they differed by their THC content and allele profiles. PCA yielded two clusters of samples that differed by specific allele profiles and THC concentrations. Further validation studies are needed, but this study could provide a new approach to forensic investigation and be a valuable aid to law enforcement in significant marijuana seizures or in tracing illicit drug trafficking routes.
{"title":"Evaluation of genetic markers for the analysis of THC levels of Cannabis sativa samples using principal component analysis – A preliminary study","authors":"S. Cisana , M. Omedei , M. Di Nunzio , F. Seganti , V. Brenzini , A. Coppi , A. Berti , C. Di Nunzio , P. Garofano , E. Alladio","doi":"10.1016/j.fsigss.2022.10.004","DOIUrl":"https://doi.org/10.1016/j.fsigss.2022.10.004","url":null,"abstract":"<div><p><em>Cannabis sativa</em> is a worldwide commercial plant used for medicinal purposes, food and fiber production, and also as a recreational drug. Therefore, the identification and differentiation between legal and illegal <em>C. sativa</em> is of great importance for forensic investigations. In this study, principal component analysis (PCA), an exploratory data analysis technique, was tested to correlate the specific genotype with the concentration of tetrahydrocannabinol (THC) in the samples. <em>C. sativa</em> samples were obtained from legal growers in Piedmont, Italy, and from illegal drug seizures in the Turin region. DNA was extracted, quantified, amplified with a 13-loci multiplex STR and finally analyzed with an automated sequencer. The results showed a trend in the analyzed samples as they differed by their THC content and allele profiles. PCA yielded two clusters of samples that differed by specific allele profiles and THC concentrations. Further validation studies are needed, but this study could provide a new approach to forensic investigation and be a valuable aid to law enforcement in significant marijuana seizures or in tracing illicit drug trafficking routes.</p></div>","PeriodicalId":56262,"journal":{"name":"Forensic Science International: Genetics Supplement Series","volume":"8 ","pages":"Pages 120-121"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1875176822000518/pdfft?md5=95892d883abaecf3a7c1d13a9d0b1776&pid=1-s2.0-S1875176822000518-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71876397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1016/j.fsigss.2022.10.006
Alessandra S. Dias , Anna Beatriz Rodrigues Gonçalves , Tatiana Lúcia Santos Nogueira , Dayse A. Silva
This study aimed to develop a methodology to identify biological fluids in sexual assault cases through mRNA markers. Biological fluid samples such as blood, saliva, and semen were collected from volunteers and submitted to RT-qPCR reactions with specific primers for the biomarkers HTN3 (saliva), ALAS (blood) andTGM4 (semen). The Melting (Tm) of each biological fluid was analyzed and the result inferred a high specificity capable of differentiating such traces. Biplex systems were generated to improve trace analysis in a single qPCR reaction.
{"title":"Development and validation of molecular methodologies for identification of biological traces from crime scenes","authors":"Alessandra S. Dias , Anna Beatriz Rodrigues Gonçalves , Tatiana Lúcia Santos Nogueira , Dayse A. Silva","doi":"10.1016/j.fsigss.2022.10.006","DOIUrl":"https://doi.org/10.1016/j.fsigss.2022.10.006","url":null,"abstract":"<div><p>This study aimed to develop a methodology to identify biological fluids in sexual assault cases through mRNA markers. Biological fluid samples such as blood, saliva, and semen were collected from volunteers and submitted to RT-qPCR reactions with specific primers for the biomarkers HTN3 (saliva), ALAS (blood) andTGM4 (semen). The Melting (Tm) of each biological fluid was analyzed and the result inferred a high specificity capable of differentiating such traces. Biplex systems were generated to improve trace analysis in a single qPCR reaction.</p></div>","PeriodicalId":56262,"journal":{"name":"Forensic Science International: Genetics Supplement Series","volume":"8 ","pages":"Pages 125-127"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1875176822000439/pdfft?md5=92d4ad749a56877c8f2dcc3aa887cc7e&pid=1-s2.0-S1875176822000439-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71876399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1016/j.fsigss.2022.09.018
Colin Charles Tièche , Markus Dubach , Martin Zieger
DNA from door handles on entry doors could provide a clue as to who last left the scene. However, after years of extensive research on DNA transfer and persistence it can be considered common knowledge that general claims like "the last who touched leaves the most DNA" do not hold true. But who's DNA do we find on door handles that are usually used several times per day by the inhabitants? To assess this question, we sampled inside door handles from real-life burglaries and at the same time collected reference samples from all the inhabitants, to determine if we can detect any (major) profiles from non-inhabitants. We also searched to evaluate how often we detect DNA from the person who last touched the door handle as a (major) contributor. Only small amounts of DNA were recovered from the handles, originating most often, but not always, from inhabitants or even the last inhabitant touching the handle.
{"title":"DNA on the inside door handles of entrance doors","authors":"Colin Charles Tièche , Markus Dubach , Martin Zieger","doi":"10.1016/j.fsigss.2022.09.018","DOIUrl":"https://doi.org/10.1016/j.fsigss.2022.09.018","url":null,"abstract":"<div><p>DNA from door handles on entry doors could provide a clue as to who last left the scene. However, after years of extensive research on DNA transfer and persistence it can be considered common knowledge that general claims like \"the last who touched leaves the most DNA\" do not hold true. But who's DNA do we find on door handles that are usually used several times per day by the inhabitants? To assess this question, we sampled inside door handles from real-life burglaries and at the same time collected reference samples from all the inhabitants, to determine if we can detect any (major) profiles from non-inhabitants. We also searched to evaluate how often we detect DNA from the person who last touched the door handle as a (major) contributor. Only small amounts of DNA were recovered from the handles, originating most often, but not always, from inhabitants or even the last inhabitant touching the handle.</p></div>","PeriodicalId":56262,"journal":{"name":"Forensic Science International: Genetics Supplement Series","volume":"8 ","pages":"Pages 48-49"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1875176822000178/pdfft?md5=ae6fb027e8977d4380678a15a44a75ff&pid=1-s2.0-S1875176822000178-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71876477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1016/j.fsigss.2022.09.019
Isabella Burmuzoska , Katherine Hogg , Jennifer Raymond , Catherine Hitchcock , Georgina E. Meakin
It is routine among many jurisdictions to recover DNA using tapelifts on porous substrates (e.g. clothing) and swabs on non-porous substrates (e.g. tool handles). Here, we examine this by comparing the efficiency of the NSW jurisdiction’s specific swabbing and tapelift techniques on a range of porous and non-porous substrates. To test DNA recovery efficiency, 30 μl aliquots of 1:50 and 1:100 saliva dilutions were deposited onto the substrates, left to dry overnight, recovered, extracted, quantified and a subset profiled. Tapelifts recovered more DNA and DNA profiles with more detectable alleles than swabs for both saliva dilutions on porous substrates. For non-porous substrates, similar DNA quantities and profiles were generally recovered with both methods for both saliva dilutions. These data underpin current practices to recover DNA using tapelifts for porous substrates and swabs for non-porous substrates. These data also revealed severe degradation of DNA recovered from brass, supporting the on-going need to improve DNA recovery and analysis methods for brass substrates.
{"title":"Comparison of operational DNA recovery methods: Swabs versus tapelifts","authors":"Isabella Burmuzoska , Katherine Hogg , Jennifer Raymond , Catherine Hitchcock , Georgina E. Meakin","doi":"10.1016/j.fsigss.2022.09.019","DOIUrl":"https://doi.org/10.1016/j.fsigss.2022.09.019","url":null,"abstract":"<div><p>It is routine among many jurisdictions to recover DNA using tapelifts on porous substrates (e.g. clothing) and swabs on non-porous substrates (e.g. tool handles). Here, we examine this by comparing the efficiency of the NSW jurisdiction’s specific swabbing and tapelift techniques on a range of porous and non-porous substrates. To test DNA recovery efficiency, 30 μl aliquots of 1:50 and 1:100 saliva dilutions were deposited onto the substrates, left to dry overnight, recovered, extracted, quantified and a subset profiled. Tapelifts recovered more DNA and DNA profiles with more detectable alleles than swabs for both saliva dilutions on porous substrates. For non-porous substrates, similar DNA quantities and profiles were generally recovered with both methods for both saliva dilutions. These data underpin current practices to recover DNA using tapelifts for porous substrates and swabs for non-porous substrates. These data also revealed severe degradation of DNA recovered from brass, supporting the on-going need to improve DNA recovery and analysis methods for brass substrates.</p></div>","PeriodicalId":56262,"journal":{"name":"Forensic Science International: Genetics Supplement Series","volume":"8 ","pages":"Pages 50-52"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1875176822000191/pdfft?md5=6ef1053fce9b0f9252bd3bc2fb834546&pid=1-s2.0-S1875176822000191-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71876478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}