Single cell genomics applications in forensic science: Current state and future directions

Huffman, Kaitlin; Ballantyne, Jack

doi:10.1016/j.isci.2023.107961

Cited by 6 publications

(1 citation statement)

References 120 publications

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“…This approach, when applied to complex familial mixtures, can prevent the erroneous inclusion of non-donor relatives ( Huffman and Ballantyne, 2022 ). Nevertheless, SCS also encounters challenges such as limited automation, reduced accuracy, and restricted applicability of DNA typing results in databases ( Huffman and Ballantyne, 2023 ).…”

Section: Discussionmentioning

confidence: 99%

Bibliometric analysis of kinship analysis from 1960 to 2023: global trends and development

Liu,

Sun,

et al. 2024

Front. Genet.

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Kinship analysis is a crucial aspect of forensic genetics. This study analyzed 1,222 publications on kinship analysis from 1960 to 2023 using bibliometric analysis techniques, investigating the annual publication and citation patterns, most productive countries, organizations, authors and journals, most cited documents and co-occurrence of keywords. The initial publication in this field occurred in 1960. Since 2007, there has been a significant increase in publications, with over 30 published annually except for 2010. China had the most publications (n = 213, 17.43%), followed by the United States (n = 175, 14.32%) and Germany (n = 89, 7.28%). The United States also had the highest citation count. Sichuan University in China has the largest number of published articles. The University of Leipzig and the University of Cologne in Germany exhibit the highest total citation count and average citation, respectively. Budowle B was the most prolific author and Kayser M was the most cited author. In terms of publications, Forensic Science International-Genetics, Forensic Science International, and International Journal of Legal Medicine were the most prolific journals. Among them, Forensic Science International-Genetics boasted the highest h-index, citation count, and average citation rate. The most frequently cited publication was “Van Oven M, 2009, Hum Mutat”, with a total of 1,361 citations. The most frequent co-occurrence keyword included “DNA”, “Loci”, “Paternity testing”, “Population”, “Markers”, and “Identification”, with recent interest focusing on “Kinship analysis”, “SNP” and “Inference”. The current research is centered around microhaplotypes, forensic genetic genealogy, and massively parallel sequencing. The field advanced with new DNA analysis methods, tools, and genetic markers. Collaborative research among nations, organizations, and authors benefits idea exchange, problem-solving efficiency, and high-quality results.

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Section: Discussionmentioning

confidence: 99%

Bibliometric analysis of kinship analysis from 1960 to 2023: global trends and development

Liu,

Sun,

et al. 2024

Front. Genet.

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Flashforward: The Current and Future Applications of Vibrational Spectroscopy for Forensic Purposes

Alpuché,

Vyas,

Lednev

2024

J Raman Spectroscopy

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Vibrational spectroscopy combined with machine learning has a great potential for forensic applications. For example, handheld Raman spectroscopic instruments are already used by law enforcement agencies for precise, confirmatory identification of drugs. Beyond drug identification, several emerging technologies based on vibrational spectroscopy are currently under development for forensic investigative purposes, including the analysis of questioned documents, gunshot residue, fabrics, soil, hair, nails, and nail polish. This article provides a comprehensive overview of the application of vibrational spectroscopy in various areas of forensic analysis, particularly focusing on forensic serology and the analysis of trace evidences. In the case of forensic serology, the methodology allows for determining complex aspects of serological casework, including the time since deposition of a stain, as well as the phenotypic profile of the stain donor—namely, sex, race, and age. Furthermore, gunshot residues can be accurately identified by grain, caliber, and manufacturer when Raman spectroscopy is paired with machine learning. This integration of advanced spectroscopic techniques with machine learning holds great promise for furthering both the accuracy and efficiency of investigations, helping to reduce the total backlog of evidence investigation currently plaguing modern forensic laboratories.

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Classification of epidermal, buccal, penile and vaginal epithelial cells using morphological characteristics measured by imaging flow cytometry

Ross,

Taylor,

van Oorschot

et al. 2024

Forensic Science International

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Single cell genomics applications in forensic science: Current state and future directions

Cited by 6 publications

References 120 publications

Bibliometric analysis of kinship analysis from 1960 to 2023: global trends and development

Bibliometric analysis of kinship analysis from 1960 to 2023: global trends and development

Flashforward: The Current and Future Applications of Vibrational Spectroscopy for Forensic Purposes

Classification of epidermal, buccal, penile and vaginal epithelial cells using morphological characteristics measured by imaging flow cytometry

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