Xianchao Ji , Lianjiang Chi , Lan Wu , Jianchao Chen , Anxin Yan , Yongjiu Li , Zheng Tu , Jian Ye , Hua Chen
{"title":"SMART:STR 混合物分析和解析工具。","authors":"Xianchao Ji , Lianjiang Chi , Lan Wu , Jianchao Chen , Anxin Yan , Yongjiu Li , Zheng Tu , Jian Ye , Hua Chen","doi":"10.1016/j.fsigen.2024.103148","DOIUrl":null,"url":null,"abstract":"<div><div>The analysis of STR mixture profiles derived from mixed DNA samples plays a critical role in criminal investigations and legal proceedings. In this article, we present SMART, a novel software developed within the fully continuous model framework to analyze STR mixture profiles. SMART incorporates the peak height model, stutter model, drop-in/drop-out model, and population genetics model, offering various functionalities such as calculating likelihood ratios (LR), resolving genotypes of individual contributors, and performing direct database searches using mixed DNA profiles. The performance of SMART was evaluated using laboratory-generated samples and the PROVEDIt dataset following the SWGDAM guidelines. The results demonstrate that SMART achieves high sensitivity, specificity, and precision. Furthermore, the software is computationally efficient, allowing for quick analysis on a desktop computer. Overall, we anticipate that SMART will serve as an invaluable tool for forensic investigations, enhancing the accuracy and reliability of criminal justice outcomes.</div></div>","PeriodicalId":50435,"journal":{"name":"Forensic Science International-Genetics","volume":"74 ","pages":"Article 103148"},"PeriodicalIF":3.2000,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SMART: STR Mixture Analysis and Resolution Tools\",\"authors\":\"Xianchao Ji , Lianjiang Chi , Lan Wu , Jianchao Chen , Anxin Yan , Yongjiu Li , Zheng Tu , Jian Ye , Hua Chen\",\"doi\":\"10.1016/j.fsigen.2024.103148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The analysis of STR mixture profiles derived from mixed DNA samples plays a critical role in criminal investigations and legal proceedings. In this article, we present SMART, a novel software developed within the fully continuous model framework to analyze STR mixture profiles. SMART incorporates the peak height model, stutter model, drop-in/drop-out model, and population genetics model, offering various functionalities such as calculating likelihood ratios (LR), resolving genotypes of individual contributors, and performing direct database searches using mixed DNA profiles. The performance of SMART was evaluated using laboratory-generated samples and the PROVEDIt dataset following the SWGDAM guidelines. The results demonstrate that SMART achieves high sensitivity, specificity, and precision. Furthermore, the software is computationally efficient, allowing for quick analysis on a desktop computer. Overall, we anticipate that SMART will serve as an invaluable tool for forensic investigations, enhancing the accuracy and reliability of criminal justice outcomes.</div></div>\",\"PeriodicalId\":50435,\"journal\":{\"name\":\"Forensic Science International-Genetics\",\"volume\":\"74 \",\"pages\":\"Article 103148\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forensic Science International-Genetics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1872497324001443\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic Science International-Genetics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1872497324001443","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
The analysis of STR mixture profiles derived from mixed DNA samples plays a critical role in criminal investigations and legal proceedings. In this article, we present SMART, a novel software developed within the fully continuous model framework to analyze STR mixture profiles. SMART incorporates the peak height model, stutter model, drop-in/drop-out model, and population genetics model, offering various functionalities such as calculating likelihood ratios (LR), resolving genotypes of individual contributors, and performing direct database searches using mixed DNA profiles. The performance of SMART was evaluated using laboratory-generated samples and the PROVEDIt dataset following the SWGDAM guidelines. The results demonstrate that SMART achieves high sensitivity, specificity, and precision. Furthermore, the software is computationally efficient, allowing for quick analysis on a desktop computer. Overall, we anticipate that SMART will serve as an invaluable tool for forensic investigations, enhancing the accuracy and reliability of criminal justice outcomes.
期刊介绍:
Forensic Science International: Genetics is the premier journal in the field of Forensic Genetics. This branch of Forensic Science can be defined as the application of genetics to human and non-human material (in the sense of a science with the purpose of studying inherited characteristics for the analysis of inter- and intra-specific variations in populations) for the resolution of legal conflicts.
The scope of the journal includes:
Forensic applications of human polymorphism.
Testing of paternity and other family relationships, immigration cases, typing of biological stains and tissues from criminal casework, identification of human remains by DNA testing methodologies.
Description of human polymorphisms of forensic interest, with special interest in DNA polymorphisms.
Autosomal DNA polymorphisms, mini- and microsatellites (or short tandem repeats, STRs), single nucleotide polymorphisms (SNPs), X and Y chromosome polymorphisms, mtDNA polymorphisms, and any other type of DNA variation with potential forensic applications.
Non-human DNA polymorphisms for crime scene investigation.
Population genetics of human polymorphisms of forensic interest.
Population data, especially from DNA polymorphisms of interest for the solution of forensic problems.
DNA typing methodologies and strategies.
Biostatistical methods in forensic genetics.
Evaluation of DNA evidence in forensic problems (such as paternity or immigration cases, criminal casework, identification), classical and new statistical approaches.
Standards in forensic genetics.
Recommendations of regulatory bodies concerning methods, markers, interpretation or strategies or proposals for procedural or technical standards.
Quality control.
Quality control and quality assurance strategies, proficiency testing for DNA typing methodologies.
Criminal DNA databases.
Technical, legal and statistical issues.
General ethical and legal issues related to forensic genetics.