'Low' LRs obtained from DNA mixtures: On calibration and discrimination performance of probabilistic genotyping software

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<ul class="nav navbar-nav navbar-right" style="display: inline-flex; align-items: center; margin-left: 20px;"> <li id="language" class="d-none d-xl-inline-flex"> <a href="javascript:"> <div class="current"> <i class="ivu-icon ivu-icon-md-globe"></i> EN </div> </a> <div class="selection"> <a rel="alternate" hreflang="en" href="https://www.peeref.com/works/83347599" > <span>English</span> </a> <a rel="alternate" hreflang="zh" href="https://www.peeref.com/zh/works/83347599" > <span>中文</span> </a> </div> </li> </ul> </ul> </div> </nav> <main> <div id="top-info-banner" class="container-fluid mb-0"> <div class="container"> <div class="d-flex align-items-center" style="margin-top: 30px;"> <span class="text-white"> <strong class="f18">☆</strong> <span class="f16">4.5</span> </span> <span class="mx-3"></span> <span class="tag">Article</span> </div> <h1 class="title title-for-article"> 'Low' LRs obtained from DNA mixtures: On calibration and discrimination performance of probabilistic genotyping software </h1> <div class="help-links-left"> <p class="pub-info"> FORENSIC SCIENCE INTERNATIONAL-GENETICS (2024) </p> </div> </div> </div> <div id="article-sticky-navbar"> <div class="container"> <div class="d-flex justify-content-between flex-wrap flex-md-nowrap"> <div class="d-flex align-items-center mb-2"> <ul class="nav nav-underline f16 font-weight-bold"> <li class="active"> <a href="javascript:;"> Overview </a> </li> <li class=""> <a href="https://www.peeref.com/works/83347599/comments"> Write a Review </a> </li> </ul> </div> <div class="d-flex align-items-center justify-content-md-end flex-wrap flex-md-nowrap"> <div class="mr-3 mt-3 mt-md-0 flex-shrink-0"> <a href="https://doi.org/10.1016/j.fsigen.2024.103099" target="_blank" class="btn btn-warning btn-circle"> <i class="ivu-icon ivu-icon-md-copy f16"></i> <strong>Get Full Text</strong> </a> </div> <div class="mr-3 mt-3 mt-md-0 flex-shrink-0"> <a href="https://www.peeref.com/works/83347599/add-to-collection" class="btn 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</div> </div> </div> </div> </div> </div> <div id="article-details" class="container"> <div class="col-md-4 px-0 pr-md-3"> <div class="f15 panel-box rounded shadow-none border"> <div class="mb-3 pb-3"> <h4 class="mt-0">Journal</h4> <div class="f16"> <h5 class="title f16"> <a href="https://www.peeref.com/journals/2908/forensic-science-international-genetics"> FORENSIC SCIENCE INTERNATIONAL-GENETICS </a> </h5> <span> Volume 73, Issue -, Pages - </span> </div> </div> <div class="mb-3 pb-3"> <h4 class="mt-0">Publisher</h4> <div class="f16"> <h5 class="title f16 text-primary"> ELSEVIER IRELAND LTD </h5> <div class="my-2"> DOI: 10.1016/j.fsigen.2024.103099 </div> </div> </div> <div class="mb-3 pb-3"> <h4 class="mt-0">Keywords</h4> <div class="f16"> Forensic DNA; DNA mixtures; Probabilistic genotyping; Calibration; DNAStatistX, EuroForMix </div> </div> <div class="mb-3 pb-3"> <h4 class="mt-0">Categories</h4> <div class="f16"> <span class="d-block"> <a href="https://www.peeref.com/works/list?category=Genetics+%26+Heredity" target="_blank" class="text-dark btn btn-link p-0 text-left"> Genetics & Heredity </a> </span> <span class="d-block"> <a href="https://www.peeref.com/works/list?category=Medicine%2C+Legal" target="_blank" class="text-dark btn btn-link p-0 text-left"> Medicine, Legal </a> </span> </div> </div> </div> <div class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 text-center">Ask authors/readers for more resources</h4> <div class="requests"> <div class="requests-item"> <div class="icon"> <img src="https://peeref-open.s3.amazonaws.com/images/file.png" alt=""> </div> <h4>Protocol</h4> <p> <a href="https://www.peeref.com/works/83347599/resource" class="btn btn-outline-primary btn-sm"> Community support </a> </p> </div> <div class="requests-item"> <div class="icon"> <img src="https://peeref-open.s3.amazonaws.com/images/experiment.png" alt=""> </div> <h4>Reagent</h4> <p> <a href="https://www.peeref.com/works/83347599/resource" class="btn btn-outline-primary btn-sm"> Community support </a> </p> </div> </div> </div> </div> <div class="col-md-8 px-0 pl-md-3"> <div id="article-summary-panel" class="mb-4"> <ul class="nav nav-tabs" style="list-style: none; padding-left: 0;"> <li class="active"> <a href="#ai_summary" data-toggle="tab" class="summary-tab mx-0 f16 text-dark"> <strong>Automated Summary</strong> <strong class="text-danger ml-1"><i>New</i></strong> </a> </li> <li class=""> <a href="#raw_abstract" data-toggle="tab" class="abstract-tab mx-0 f16 text-dark"> <strong>Abstract</strong> </a> </li> </ul> <div class="tab-content border border-top-0"> <div id="ai_summary" class="tab-pane active"> <div class="summary-panel panel-box mb-0 rounded shadow-none"> <div class="f16">This study evaluated the performance of various PG software in the low LR range using the PROVEDIt dataset and found that previously reported LR thresholds may be too high, suggesting that they be lowered or discarded. The study also emphasizes the importance of calibration metrics in understanding the performance of PG systems.</div> </div> </div> <div id="raw_abstract" class="tab-pane "> <div class="abstract-panel panel-box mb-0 rounded shadow-none"> <div class="f16">The validity of a probabilistic genotyping (PG) system is typically demonstrated by following international guidelines for the developmental and internal validation of PG software. These guidelines mainly focus on discriminatory power. Very few studies have reported with metrics that depend on calibration of likelihood ratio (LR) systems. In this study, discriminatory power as well as various calibration metrics, such as Empirical Cross-Entropy (ECE) plots, pool adjacent violator (PAV) plots, log likelihood ratio cost (Cllr and Cllr(cal)), fiducial calibration discrepancy plots, and Turing' expectation were examined using the publicly-available PROVEDIt dataset. The aim was to gain deeper insight into the performance of a variety of PG software in the 'lower' LR ranges (similar to LR 1-10,000), with focus on DNAStatistX and EuroForMix which use maximum likelihood estimation (MLE). This may be a driving force for the end users to reconsider current LR thresholds for reporting. In previous studies, overstated 'low' LRs were observed for these PG software. However, applying (arbitrarily) high LR thresholds for reporting wastes relevant evidential value. This study demonstrates, based on calibration performance, that previously reported LR thresholds can be lowered or even discarded. Considering LRs >1, there was no evidence for miscalibration performance above LR similar to 1000 when using Fst 0.01. Below this LR value, miscalibration was observed. Calibration performance generally improved with the use of Fst 0.03, but the extent of this was dependent on the dataset: results ranged from miscalibration up to LR similar to 100 to no evidence of miscalibration alike PG software using different methods to model peak height, HMC and STRmix. This study demonstrates that practitioners using MLE-based models should be careful when low LR ranges are reported, though applying arbitrarily high LR thresholds is discouraged. This study also highlights various calibration metrics that are useful in understanding the performance of a PG system.</div> </div> </div> </div> </div> <div class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 heading-count">Authors</h4> <div class="mb-3"> <article-authors tid="83347599" list="[{"name":"M. McCarthy-Allen","sequence":1},{"name":"O. Bleka","sequence":2},{"name":"R. Ypma","sequence":3},{"name":"P. Gill","sequence":4},{"name":"C. Benschop","sequence":5}]" verified="[]" page="work" ></article-authors> </div> <div class="alert alert-warning mb-0"> <h5 class="mt-0 bg-warning text-dark px-3 rounded d-inline-block"> I am an author on this paper </h5> <div class="font-weight-bold f13"> Click your name to claim this paper and add it to your profile. </div> </div> </div> <div class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 heading-count">Reviews</h4> <div class="d-flex flex-wrap flex-md-nowrap"> <div class="flex-grow-1"> <h4 class="f16"> Primary Rating <a href="javascript:;" data-toggle="tooltip" data-placement="right" title="The primary rating indicates the level of overall quality for the paper."> <i class="ivu-icon ivu-icon-md-help-circle f18 ml-2"></i> </a> </h4> <div class="d-flex flex-wrap flex-md-nowrap align-items-center alert mb-0"> <div class="d-flex align-items-center justify-content-center"> <Rate disabled allow-half value="4.5" style="font-size: 28px;"></Rate> <strong class="f20 m-3" style="color: #f5a623;">4.5</strong> </div> <div class="text-muted mx-4"> Not enough ratings </div> </div> <h4 class="f16"> Secondary Ratings <a href="javascript:;" data-toggle="tooltip" data-placement="right" title="Secondary ratings independently reflect strengths or weaknesses of the paper."> <i class="ivu-icon ivu-icon-md-help-circle f18 ml-2"></i> </a> </h4> <div class="d-flex flex-wrap flex-md-nowrap alert"> <div class="d-flex flex-shrink-0 align-items-center mr-3"> <h5 class="my-0">Novelty</h5> <strong class="mx-4">-</strong> </div> <div class="d-flex flex-shrink-0 align-items-center mr-3"> <h5 class="my-0">Significance</h5> <strong class="mx-4">-</strong> </div> <div class="d-flex flex-shrink-0 align-items-center mr-3"> <h5 class="my-0">Scientific rigor</h5> <strong class="mx-4">-</strong> </div> </div> </div> <div class="flex-shrink-0"> <div class="border bg-light py-2 px-4"> <h5 class="mb-1">Rate this paper</h5> <Rate class="f24" @on-change="function(value){ location.href='https://www.peeref.com/works/83347599/comments?rating='+value }"></Rate> </div> </div> </div> </div> <div id="collection" class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 heading-count">Recommended</h4> <div class="my-3"> <ul class="nav nav-pills border-bottom pb-3" style="list-style: none; padding-left: 0;"> <li class="active"> <a href="#articles_from_related" data-toggle="tab" class="mx-0 f15"> <strong>Related</strong> </a> </li> <li class=""> <a href="#articles_from_authors" data-toggle="tab" class="mx-0 f15"> <strong>From Same Authors</strong> </a> </li> <li class=""> <a href="#articles_from_journal" data-toggle="tab" class="mx-0 f15"> <strong>From Same Journal</strong> </a> </li> </ul> <div class="tab-content"> <div id="articles_from_related" class="tab-pane active"> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/81806710" class="text-dark hover-underline">An inter-laboratory comparison of probabilistic genotyping parameters and evaluation of performance on DNA mixtures from different laboratories</a> </h4> <p class="text-ellipsis-2">Safia Boodoosingh, Hannah Kelly, James M. Curran, Tim Kalafut</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/2908.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This paper mainly introduces probabilistic genotyping (PG) as the preferred standard for evidence interpretation and the methods to evaluate its reliability. The study shows that the PG system STRmixTM is relatively unaffected by differences in parameter settings, and the LR differences of DNA mixtures analyzed in different laboratories are small as long as the LR is greater than 50. These findings are based on an inter-laboratory study involving eight laboratories. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/81806710/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Medicine, Legal </span> </div> <h4> <a href="https://www.peeref.com/works/23554623" class="text-dark hover-underline">MaSTR (TM): an effective probabilistic genotyping tool for interpretation of STR mixtures associated with differentially degraded DNA</a> </h4> <p class="text-ellipsis-2">Mitchell M. Holland, Teresa M. Tiedge, Abigail J. Bender, Sidney A. Gaston-Sanchez, Jennifer A. McElhoe</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/3787.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> The probabilistic genotyping software MaSTR (TM) was used to estimate statistical weights for differentially degraded sources of DNA in two-person mixture profiles. The software performed well, although higher degradation levels resulted in peak imbalance and allelic dropout. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">INTERNATIONAL JOURNAL OF LEGAL MEDICINE</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/23554623/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/26837121" class="text-dark hover-underline">Evaluating DNA Mixtures with Contributors from Different Populations Using Probabilistic Genotyping</a> </h4> <p class="text-ellipsis-2">Maarten Kruijver, Hannah Kelly, Jo-Anne Bright, John Buckleton</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/9770.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> It is common practice to evaluate DNA profiling evidence using likelihood ratios and allele frequency estimates from a relevant population. When dealing with samples from multiple populations, a choice needs to be made. For two-person mixtures without dropout, using the Person of Interest's population with a theta value of 3% can provide conservative estimates, while more accurate estimates can be obtained by explicitly modeling different populations. Population stratification methods may not always be conservative, and taking a minimum likelihood ratio across populations is not always conservative when F-ST = 0. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">GENES</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/26837121/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/28372727" class="text-dark hover-underline">ProbRank: An efficient DNA database search method for complex mixtures per a quantitative likelihood ratio model</a> </h4> <p class="text-ellipsis-2">Jerry Hoogenboom, Titia Sijen, Corina Benschop</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/2908.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Searching a DNA database with a DNA profile can provide leads in a forensic case. A quantitative LR model outperforms a qualitative LR model in terms of sensitivity and specificity, especially for minor contributors in complex mixtures. The ProbRank method, incorporated with the EuroForMix model, is to be implemented in DNAStatistX for daily use. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/28372727/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/25877839" class="text-dark hover-underline">The number of alleles in DNA mixtures with related contributors</a> </h4> <p class="text-ellipsis-2">Maarten Kruijver, James M. Curran</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/2908.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This article introduces a computational strategy for predicting the distribution of distinct allele counts in a DNA mixture, considering possible relatedness among contributors. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/25877839/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/25877857" class="text-dark hover-underline">MPSproto: An extension of EuroForMix to evaluate MPS-STR mixtures</a> </h4> <p class="text-ellipsis-2">Oyvind Bleka, Rebecca Just, Maria Martin Agudo, Peter Gill</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/2908.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> The study found that the MPSproto models performed better in handling stutter artefacts and other typing errors commonly found in MPS-STR data compared to the traditional EuroForMix model. The gamma model implemented in MPSproto showed the best performance and was adequate for sequence reads when a low analytical threshold was applied. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/25877857/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Medicine, Legal </span> </div> <h4> <a href="https://www.peeref.com/works/24844685" class="text-dark hover-underline">Probabilistic genotyping of single cell replicates from complex DNA mixtures recovers higher contributor LRs than standard analysis</a> </h4> <p class="text-ellipsis-2">Kaitlin Huffman, Erin Hanson, Jack Ballantyne</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/7395.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> DNA mixtures are a common and difficult source of crime scene evidence. In order to reduce the loss of DNA information from donors in complex mixtures, a simplified micro-manipulation technique combined with enhanced single-cell DNA typing was used to collect single or few cells, resulting in single source DNA profiles. The approach showed improved results compared to standard analysis methods. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">SCIENCE & JUSTICE</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/24844685/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/83112863" class="text-dark hover-underline">Improved individual identification in DNA mixtures of unrelated or related contributors through massively parallel sequencing</a> </h4> <p class="text-ellipsis-2">Zhiyong Liu, Enlin Wu, Ran Li, Jiajun Liu, Yu Zang, Bin Cong, Riga Wu, Bo Xie, Hongyu Sun</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/2908.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study evaluated the impact of potential kinship on individual identification, including MPS performance, the influence of genetic markers on kinship and NOC inference, the probability distribution of MAC and TAC, trends in LR values, and comparisons of length- and sequence-based STR genotypes. Results showed that multiple genetic markers improved the accuracy of kinship and NOC inference, the LR value of the POI depended on the mixing ratio, and the correct kinship hypothesis yielded more conservative LR values. In addition, using sequence-based STR genotypes increased the power of individual identification and the accuracy of mixture ratio inference. The MGIEasy Signature Identification Library Prep kit demonstrated robust individual identification capabilities and is suitable for forensic DNA mixture interpretation. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83112863/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Medicine, Legal </span> </div> <h4> <a href="https://www.peeref.com/works/28489334" class="text-dark hover-underline">A diagnosis of the primary difference between EuroForMix and STRmix™</a> </h4> <p class="text-ellipsis-2">John Buckleton, Mateusz Susik, James M. Curran, Kevin Cheng, Duncan Taylor, Jo-Anne Bright, Hannah Kelly, Richard Wivell</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/4557.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This passage discusses the comparison of output between two probabilistic genotyping software, pointing out the fundamental differences that cause the likelihood ratio differences. The separate estimation of parameters can lead to completely different results in different scenarios, resulting in differences in values between the two software. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF FORENSIC SCIENCES</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/28489334/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Review </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/26836974" class="text-dark hover-underline">Study of CTS DNA Proficiency Tests with Regard to DNA Mixture Interpretation: A NIST Scientific Foundation Review</a> </h4> <p class="text-ellipsis-2">Todd Bille, Michael D. Coble, Tim Kalafut, John Buckleton</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/9770.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> The National Institute of Standards and Technology (NIST) has released a document called "DNA Mixture Interpretation: A NIST Scientific Foundation Review" for public comment. The document includes statistics of false negatives and false positives reported from a total of 69 data sets, with a review conducted on the relevant forensic biology proficiency test results from 2018 to 2021. The findings indicate that none of the false positives or negatives can be attributed to the mixture interpretation strategy or the use of PGS. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">GENES</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/26836974/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/84865969" class="text-dark hover-underline">Searching national DNA databases with complex DNA profiles: An empirical study using probabilistic genotyping</a> </h4> <p class="text-ellipsis-2">Severine Nozownik, Tacha Hicks, Patrick Basset, Vincent Castella</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/2908.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study evaluated the performance of the DBLRTM Search database tool in conjunction with the Swiss NDNADB using DNA profiles from known contributors and casework. The results showed that the tool can effectively search complex DNA mixture profiles and generate leads. The next step is to discuss legal, financial, and technical aspects to determine if the tool can be integrated into the operational environment. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84865969/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/25877856" class="text-dark hover-underline">A comparison of likelihood ratios with and without assuming relatedness for DNA mixtures interpreted using a continuous model</a> </h4> <p class="text-ellipsis-2">Maarten Kruijver, Jo-Anne Bright</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/2908.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> When evaluating the contribution of a person to a mixed DNA sample, it is important to consider the assumption of unrelatedness between the mixture contributors and the person of interest. Previous simulation studies have shown that correctly assuming relatedness can increase the accuracy of distinguishing between mixture donors and unrelated persons. This effect is dependent on the mixture ratio. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/25877856/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/27757998" class="text-dark hover-underline">An Investigation into Compound Likelihood Ratios for Forensic DNA Mixtures</a> </h4> <p class="text-ellipsis-2">Richard Wivell, Hannah Kelly, Jason Kokoszka, Jace Daniels, Laura Dickson, John Buckleton, Jo-Anne Bright</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/9770.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Simple propositions have one unknown contributor under H-p and all unknown contributors under H-a, while conditional propositions have one known contributor, one or more assumed contributors, and the remaining contributors unknown under H-p and H-a. Compound propositions have multiple unknown contributors under H-p and H-a. The study evaluates the performance of these three proposition sets in 32 samples with varying numbers of contributors using the probabilistic genotyping software, STRmix (TM). Findings indicate that conditional propositions outperform simple propositions in differentiating true and false donors. Compound propositions can lead to inaccurate weight of evidence in either direction. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">GENES</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/27757998/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/28372723" class="text-dark hover-underline">Variation in assessments of suitability and number of contributors for DNA mixtures</a> </h4> <p class="text-ellipsis-2">R. Austin Hicklin, Nicole Richetelli, Brandi L. Emerick, Robert A. Bever, Jonathan M. Davoren</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/2908.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study found significant variation among forensic laboratories in their assessments of the suitability and number of contributors in DNA mixtures. Differences in lab policies and procedures accounted for most of the discrepancies. Incorrect assessments of the number of contributors may affect statistical analyses but not necessarily the accuracy of interpretations or conclusions. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/28372723/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 "> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/82459401" class="text-dark hover-underline">A New Tool for Probabilistic Assessment of MPS Data Associated with mtDNA Mixtures</a> </h4> <p class="text-ellipsis-2">Jennifer A. Mcelhoe, Alyssa Addesso, Brian Young, Mitchell M. Holland</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/9770.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This article introduces the importance of mitochondrial DNA in the field of genetics and the need to deconvolute mtDNA mixtures. The research goals include creating a new software, MixtureAceMT (TM), evaluating and combining existing software tools, creating datasets, and validating the software for use in forensic laboratories. The new software is able to detect the correct contributing haplogroups and estimate the proportion of contributors in sequencing data generated from small amplicons. The challenge of using small amplicon sequencing for mixture deconvolution is the potential generation of spurious haplogroups, which MixtureAceMT (TM) resolves by including known haplotypes. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">GENES</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82459401/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> </div> <div id="articles_from_authors" class="tab-pane "> <div class="nodata my-4">No Data Available</div> </div> <div id="articles_from_journal" class="tab-pane "> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/83039808" class="text-dark hover-underline">Application of a newly constructed NGS panel with 45 X-linked microhaplotypes demonstrates the unique value of X-MH for kinship testing and mixture analysis</a> </h4> <p class="text-ellipsis-2">Guanju Ma, Kailiang Liu, Chaolong Lu, Qingqing Du, Mengjie Zhang, Qian Wang, Guangping Fu, Junyan Wang, Chunling Ma, Bin Cong, Shujin Li, Lihong Fu</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study screened 63 X-MHs, evaluated their performance, and calculated population parameters. The panel performed well in personal identification and paternity testing, and showed unique advantages in complex kinship and male DNA mixture analyses. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83039808/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/84361787" class="text-dark hover-underline">CRISPR-Cas technology in forensic investigations: Principles, applications, and ethical considerations</a> </h4> <p class="text-ellipsis-2">Ana Filipa Sobral, Ricardo Jorge Dinis-Oliveira, Daniel Jose Barbosa</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> CRISPR-Cas systems are adaptive immune systems in bacteria, and CRISPR-Cas-based technologies can be used for precise genome editing. Forensic science is used to investigate and solve legal issues, and CRISPR-Cas-based methods have potential applications in the field of forensic science, but also raise ethical concerns and potential abuse of personal genetic information. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84361787/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/83532016" class="text-dark hover-underline">Dense SNP-based analyses complement forensic anthropology biogeographical ancestry assessments</a> </h4> <p class="text-ellipsis-2">Sammed N. Mandape, Bruce Budowle, Heather McKiernan, Donia Slack, Sarah Mittelman, Kristen Mittelman, David Mittelman</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Forensic anthropological examinations can estimate the ancestry of human remains, but they have limitations. Genome-wide SNP testing provides a more accurate method for ancestry estimation. The study found inconsistencies between anthropological and genomic ancestry estimates, especially for admixed populations. Further validation studies and policy improvements are crucial for improving the accuracy of ancestry estimation and reducing misinformation. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83532016/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/83533129" class="text-dark hover-underline">Shotgun DNA sequencing for human identification: Dynamic SNP selection and likelihood ratio calculations accounting for errors</a> </h4> <p class="text-ellipsis-2">Mikkel Meyer Andersen, Marie-Louise Kampmann, Alberte Honore Jepsen, Niels Morling, Poul Svante Eriksen, Claus Bursting, Jeppe Dyrberg Andersen</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This paper presents a statistical model for human identification using shotgun sequencing data, which takes into account the sequencing error rate and can be applied to highly degraded low-quality DNA samples. An open-source R package, wgsLR, is also introduced for implementing the method. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83533129/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/84342778" class="text-dark hover-underline">SMART: STR Mixture Analysis and Resolution Tools</a> </h4> <p class="text-ellipsis-2">Xianchao Ji, Lianjiang Chi, Lan Wu Chen, Jianchao Chen, Anxin Yan, Yongjiu Li, Zheng Tu, Jian Ye, Hua Chen</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This article presents SMART, a software for analyzing STR mixture profiles developed within the fully continuous model framework. SMART integrates multiple models and offers various functions, such as likelihood ratio calculation, genotype resolution, and database search. Its performance was evaluated using laboratory samples and the PROVEDIt dataset, showing high sensitivity, specificity, and precision, as well as computational efficiency. SMART is expected to be a valuable tool in forensic investigations, improving the accuracy and reliability of criminal justice outcomes. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84342778/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/83225861" class="text-dark hover-underline">Profiling age and body fluid DNA methylation markers using nanopore adaptive sampling</a> </h4> <p class="text-ellipsis-2">Zaka Wing-Sze Yuen, Somasundhari Shanmuganandam, Maurice Stanley, Simon Jiang, Nadine Hein, Runa Daniel, Dennis McNevin, Cameron Jack, Eduardo Eyras</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> DNA methylation plays a crucial role in physiological processes and can be used as a biomarker for body fluid identification and age prediction. Current methylation detection methods rely on various techniques and markers, requiring specialized DNA preparation and biochemical treatments. This study used nanopore adaptive sampling technology to simultaneously identify age-associated and body fluid-specific methylation markers without the need for specialized DNA preparation or biochemical treatments. The technology was consistent with whole-genome bisulfite sequencing data and identified new sites strongly correlated with age. This study lays the foundation for the development of nanopore-based methods for age prediction and body fluid identification. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83225861/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/83599477" class="text-dark hover-underline">The role of cats in human DNA transfer</a> </h4> <p class="text-ellipsis-2">Heidi Monkman, Roland A. H. van Oorschot, Mariya Goray</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study investigated whether cats are reservoirs and vectors for human DNA transfer. The results showed that human DNA was prevalent on all cats, and its distribution followed a certain pattern. In addition, short-term patting contact could lead to the transfer of human DNA to cats. These findings suggest that we should consider the role of animals in DNA reporting and collect DNA evidence from animals in cases involving interactions between animals and perpetrators. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83599477/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/84866026" class="text-dark hover-underline">Uncovering genetic signatures of the Walser migration in the Alps: Patterns of diversity and differentiation</a> </h4> <p class="text-ellipsis-2">Peter Resutik, Joelle Schneider, Simon Aeschbacher, Magnus Dehli Vigeland, Mario Gysi, Corinne Moser, Chiara Barbieri, Paul Widmer, Mathias Currat, Adelgunde Kratzer, Michael Kruetzen, Cordula Haas, Natasha Arora</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study investigated the genetic diversity and differentiation of the Walser people. By comparing samples from Walser, Walser-homeland, and non-Walser Alpine communities, as well as an idealized Swiss reference population, it was found that Walser-homeland and Walser communities showed low to moderate genetic differentiation from other communities, with more remote communities showing stronger differentiation. Additionally, the rare haplogroup W6 was identified in the Walser communities. This study contributes to understanding the genetic characteristics of the Walser people, but also highlights the need for more comprehensive research. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84866026/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/84265916" class="text-dark hover-underline">Towards the identification of body fluids using RT-LAMP isothermal amplification coupled with CRISPR-Cas12a</a> </h4> <p class="text-ellipsis-2">Courtney R. H. Lynch, Olivia L. Martin, Craig Billington, Rachel Fleming</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This paper describes a new technique for the detection of body fluids that combines RT-LAMP amplification with CRISPR-mediated fluorescent detection to rapidly detect mRNA markers in body fluids at a single temperature. The technique has high sensitivity and specificity and can be used for body fluid identification in forensic screening laboratories. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84265916/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/83112863" class="text-dark hover-underline">Improved individual identification in DNA mixtures of unrelated or related contributors through massively parallel sequencing</a> </h4> <p class="text-ellipsis-2">Zhiyong Liu, Enlin Wu, Ran Li, Jiajun Liu, Yu Zang, Bin Cong, Riga Wu, Bo Xie, Hongyu Sun</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study evaluated the impact of potential kinship on individual identification, including MPS performance, the influence of genetic markers on kinship and NOC inference, the probability distribution of MAC and TAC, trends in LR values, and comparisons of length- and sequence-based STR genotypes. Results showed that multiple genetic markers improved the accuracy of kinship and NOC inference, the LR value of the POI depended on the mixing ratio, and the correct kinship hypothesis yielded more conservative LR values. In addition, using sequence-based STR genotypes increased the power of individual identification and the accuracy of mixture ratio inference. The MGIEasy Signature Identification Library Prep kit demonstrated robust individual identification capabilities and is suitable for forensic DNA mixture interpretation. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83112863/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/83911917" class="text-dark hover-underline">A preliminary study on detecting human DNA in aquatic environments: Potential of eDNA in forensics</a> </h4> <p class="text-ellipsis-2">Marie Antony Dass, Craig D. H. Sherman, Roland A. H. van Oorschot, Dadna Hartman, Gemma Carter, Annalisa Durdle</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study investigated the detection and degradation rates of human eDNA in saltwater and freshwater samples, as well as the recovery of STR profiles and mtDNA sequencing. Results showed that human eDNA could be detected for up to 36-84 hours in water samples, with a detection limit of 205 copies/μl. Partial STR profiles could be recovered within 24 hours, and full mtDNA profiles could be recovered from freshwater samples within 48 hours and remained detectable for up to 72 hours in saltwater. This study emphasizes the importance of considering and incorporating human eDNA analysis in forensic practice. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83911917/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/84482295" class="text-dark hover-underline">Benchmarking for genotyping and imputation using degraded DNA for forensic applications across diverse populations</a> </h4> <p class="text-ellipsis-2">Elena I. Zavala, Rori V. Rohlfs, Priya Moorjani</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study investigated computational methods for handling degraded DNA in forensic applications. By simulating sequencing data of varying qualities, the performance of common genotyping and imputation methods was tested on different SNP panels. The results showed that parameters and methods developed for ancient DNA analysis performed better in degraded DNA analysis. Additionally, using a population reference panel representative of worldwide populations improved genotyping accuracy, but the low SNP density of commonly used forensic SNP panels could impact the reliability of the analysis. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84482295/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/84819293" class="text-dark hover-underline">The (in)dependence of single-cell data inferences on model constructs</a> </h4> <p class="text-ellipsis-2">Catherine M. Grgicak, Klaas Slooten, Robert G. Cowell, Qhawe Bhembe, Desmond S. Lun</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Single-cell analysis is important in forensics, but different models may interpret the data differently. This study compared the weight of evidence on single-cell electropherograms among three models and found that they were mostly consistent, but there were some differences in some cases. The study also found that extreme stuttering was the main cause of the differences and proposed some interpretive adaptations to improve the situation. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84819293/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/84919066" class="text-dark hover-underline">Independent evaluation of an 11-CpG panel for age estimation in blood</a> </h4> <p class="text-ellipsis-2">Mie Rath Refn, Marie-Louise Kampmann, Agnes Vyoni, Jacob Tfelt-Hansen, Erik Sorensen, Sisse Rye Ostrowski, Mette Kongstad, Anastasia Aliferi, Federica Giangasparo, Niels Morling, David Ballard, Claus Borsting, Vania Pereira</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study evaluated the 11-CpG panel for age estimation and optimized it. The optimized panel was used to type Danish blood samples, and the results showed that DNA methylation at the 11 CpG loci was significantly correlated with age. A Danish age prediction model was constructed and compared with the original model, and the results were similar, but the original model had a bias towards underestimation, while the new model did not. The assay can reasonably accurately estimate the age of a single-source donor. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84919066/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 "> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Genetics & Heredity </span> </div> <h4> <a href="https://www.peeref.com/works/83547292" class="text-dark hover-underline">Forensic efficiency evaluation of a mtDNA whole genome sequencing system constructed with long fragment amplification strategy on DNA nanoball sequencing platform</a> </h4> <p class="text-ellipsis-2">Man Chen, Chong Chen, Ning Li, Yuerong Su, Wei Cui, Yan Huang, Meiming Cai, Bofeng Zhu</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study evaluated a novel mtDNA whole genome sequencing system using long fragment amplification strategy on the DNA nanoball sequencing platform. The system demonstrated high sequencing quality and specific mtDNA sequencing efficiencies on positive control DNA and FTA bloodstain samples. In addition, the system sequencing efficiency was also confirmed among different kinds of samples. In summary, the system showed high performance in analyzing mtDNA sequence information, and had great prospects in forensic application and maternal genetic research. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FORENSIC SCIENCE INTERNATIONAL-GENETICS</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83547292/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="modal fade" id="export-citation" tabindex="-1"> <div class="modal-dialog"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal"><span>×</span></button> <h4 class="modal-title">Export Citation <b class="text-primary"></b></h4> </div> <div class="modal-body"> <div class="my-3 px-4 f16"> <form 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'Low' LRs obtained from DNA mixtures: On calibration and discrimination performance of probabilistic genotyping software - Peeref