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Liu YL, Jiang ZF, Zhou GL, Zhao YW, Hao YY, Xu JY, Yang X, Chen XH. Inkjet printer prediction under complicated printing conditions based on microscopic image features. Sci Justice 2024; 64:269-278. [PMID: 38735662 DOI: 10.1016/j.scijus.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 02/23/2024] [Accepted: 03/03/2024] [Indexed: 05/14/2024]
Abstract
A novel technique is introduced to predict the printer model used to produce a given document. Samples containing only a few letters printed under varying conditions (i.e., different printing modes, letter types, fonts) were collected to establish a dataset of 41 inkjet printer models from common manufacturers, such as HP, Canon, and Epson. Morphological features were analyzed by extraction of image features using several algorithms in a series of microscopic images and a Wilcoxon test was used to measure the significance of variations between printed samples. Significant differences between various printing conditions might post potential challenge to questioned document examination. Discriminant analysis and the k-nearest neighbor (KNN) algorithm were also employed for source printer prediction under varying printing condition on 30% images with the rest images as training dataset. The results of a validation experiment demonstrated that while quadratic discriminant analysis (QDA) achieved an accuracy of 96.3%, a combination of KNN and QDA reached 98.6%. As such, this technique could aid in the forensic examination of printed documents.
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Affiliation(s)
- Yan-Ling Liu
- East China University of Political Science and Law, 1575, Wanhangdu Road, Shanghai 200042, PR China
| | - Zi-Feng Jiang
- East China University of Political Science and Law, 1575, Wanhangdu Road, Shanghai 200042, PR China
| | - Guang-Lei Zhou
- Academy of Forensic Science, 1347, West Guangfu Road, Shanghai 200063, PR China
| | - Ya-Wen Zhao
- East China University of Political Science and Law, 1575, Wanhangdu Road, Shanghai 200042, PR China
| | - Yu-Yu Hao
- East China University of Political Science and Law, 1575, Wanhangdu Road, Shanghai 200042, PR China
| | - Jing-Yuan Xu
- East China University of Political Science and Law, 1575, Wanhangdu Road, Shanghai 200042, PR China
| | - Xu Yang
- Academy of Forensic Science, 1347, West Guangfu Road, Shanghai 200063, PR China.
| | - Xiao-Hong Chen
- Academy of Forensic Science, 1347, West Guangfu Road, Shanghai 200063, PR China.
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Zhong Y, Zeng K, Adnan A, Li YZ, Hou XK, Pan Y, Li A, Zhu XM, Lv P, Du Z, Yang Y, Yao J. Discrimination of monozygotic twins using mtDNA heteroplasmy through probe capture enrichment and massively parallel sequencing. Int J Legal Med 2023; 137:1337-1345. [PMID: 37270462 DOI: 10.1007/s00414-023-03033-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/30/2023] [Indexed: 06/05/2023]
Abstract
Differentiating between monozygotic (MZ) twins remains difficult because they have the same genetic makeup. Applying the traditional STR genotyping approach cannot differentiate one from the other. Heteroplasmy refers to the presence of two or more different mtDNA copies within a single cell and this phenomenon is common in humans. The levels of heteroplasmy cannot change dramatically during transmission in the female germ line but increase or decrease during germ-line transmission and in somatic tissues during life. As massively parallel sequencing (MPS) technology has advanced, it has shown the extraordinary quantity of mtDNA heteroplasmy in humans. In this study, a probe hybridization technique was used to obtain mtDNA and then MPS was performed with an average sequencing depth of above 4000. The results showed us that all ten pairs of MZ twins were clearly differentiated with the minor heteroplasmy threshold at 1.0%, 0.5%, and 0.1%, respectively. Finally, we used a probe that targeted mtDNA to boost sequencing depth without interfering with nuclear DNA and this technique can be used in forensic genetics to differentiate the MZ twins.
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Affiliation(s)
- Yang Zhong
- School of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-evidence Sciences, Shenyang, Liaoning Province, China
- China Medical University Center of Forensic Investigation, Chengdu, China
| | - Kuo Zeng
- Institute of Evidence Law and Forensic Science, China University of Political Science and Law, Beijing, China
| | - Atif Adnan
- Department of Forensic Sciences, College of Criminal Justice, Naif University of Security Sciences, Riyadh, 11452, Kingdom of Saudi Arabia
| | - Yu-Zhang Li
- School of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-evidence Sciences, Shenyang, Liaoning Province, China
- China Medical University Center of Forensic Investigation, Chengdu, China
| | - Xi-Kai Hou
- School of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-evidence Sciences, Shenyang, Liaoning Province, China
- China Medical University Center of Forensic Investigation, Chengdu, China
| | - Ying Pan
- School of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-evidence Sciences, Shenyang, Liaoning Province, China
- China Medical University Center of Forensic Investigation, Chengdu, China
| | - Ang Li
- School of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-evidence Sciences, Shenyang, Liaoning Province, China
- China Medical University Center of Forensic Investigation, Chengdu, China
| | - Xiu-Mei Zhu
- School of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-evidence Sciences, Shenyang, Liaoning Province, China
- China Medical University Center of Forensic Investigation, Chengdu, China
| | - Peng Lv
- School of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-evidence Sciences, Shenyang, Liaoning Province, China
- China Medical University Center of Forensic Investigation, Chengdu, China
| | - Zhe Du
- School of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China
- Key Laboratory of Forensic Bio-evidence Sciences, Shenyang, Liaoning Province, China
- China Medical University Center of Forensic Investigation, Chengdu, China
| | - Ying Yang
- Department of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Jun Yao
- School of Forensic Medicine, China Medical University, No.77, Puhe Road, Shenbei New District, Shenyang, 110122, People's Republic of China.
- Key Laboratory of Forensic Bio-evidence Sciences, Shenyang, Liaoning Province, China.
- China Medical University Center of Forensic Investigation, Chengdu, China.
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Brancato D, Coniglio E, Bruno F, Agostini V, Saccone S, Federico C. Forensic DNA Phenotyping: Genes and Genetic Variants for Eye Color Prediction. Genes (Basel) 2023; 14:1604. [PMID: 37628655 PMCID: PMC10454093 DOI: 10.3390/genes14081604] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 07/31/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
In recent decades, the use of genetic polymorphisms related to specific phenotypes, such as eye color, has greatly contributed to the development of the research field called forensic DNA phenotyping (FDP), enabling the investigators of crime cases to reduce the number of suspects, making their work faster and more precise. Eye color is a polygenic phenotype, and many genetic variants have been highlighted, with the major contributor being the HERC2-OCA2 locus, where many single nucleotide variations (SNPs) were identified. Interestingly, the HERC2-OCA2 locus, containing the intronic SNP rs12913832, the major eye color determinant, shows a high level of evolutionary conservation across many species of vertebrates. Currently, there are some genetic panels to predict eye color by genomic DNA analysis, even if the exact role of the SNP variants in the formation of eye color is still poorly understood, with a low level of predictivity in the so-called intermediate eye color. Many variants in OCA2, HERC2, and other genes lie in introns or correspond to synonymous variants, highlighting greater complexity in the mechanism of action of such genes than a simple missense variation. Here, we show the main genes involved in oculocutaneous pigmentation and their structural and functional features, as well as which genetic variants show the highest level of eye color predictivity in currently used FDP assays. Despite the great recent advances and impact of FDP in criminal cases, it is necessary to enhance scientific research to better understand the mechanism of action behind each genetic variant involved in eye color, with the goal of obtaining higher levels of prediction.
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Affiliation(s)
- Desiree Brancato
- Department Biological, Geological, Environmental Sciences, University of Catania, Via Androne 81, 95124 Catania, Italy; (D.B.); (E.C.); (F.B.); (C.F.)
| | - Elvira Coniglio
- Department Biological, Geological, Environmental Sciences, University of Catania, Via Androne 81, 95124 Catania, Italy; (D.B.); (E.C.); (F.B.); (C.F.)
| | - Francesca Bruno
- Department Biological, Geological, Environmental Sciences, University of Catania, Via Androne 81, 95124 Catania, Italy; (D.B.); (E.C.); (F.B.); (C.F.)
| | - Vincenzo Agostini
- Department Science and Technical Innovation, University of Eastern Piedmont, Viale Teresa Michel 11, 15121 Alessandria, Italy;
| | - Salvatore Saccone
- Department Biological, Geological, Environmental Sciences, University of Catania, Via Androne 81, 95124 Catania, Italy; (D.B.); (E.C.); (F.B.); (C.F.)
| | - Concetta Federico
- Department Biological, Geological, Environmental Sciences, University of Catania, Via Androne 81, 95124 Catania, Italy; (D.B.); (E.C.); (F.B.); (C.F.)
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