{"title":"EFMex:使用EuroForMix评估多个感兴趣的人的DNA混合物","authors":"Øyvind Bleka, Magnus Dehli Vigeland, Peter Gill","doi":"10.1016/j.fsigen.2025.103365","DOIUrl":null,"url":null,"abstract":"<div><div>We present EFMex (EuroForMix–Exhaustive), an R package for calculating likelihood ratios (LRs) in DNA mixture interpretation involving multiple persons of interest (POIs). The software implements an exhaustive method framework, evaluating all possible subsets of POIs as contributors to the mixture. We demonstrate the importance of this framework, particularly when contributors, such as close relatives, exhibit high allele sharing. A series of simulation experiments, designed to reflect complex casework scenarios, were conducted using three- and four-person mixtures in which at least two contributors were in the same family. The exhaustive method proved effective in distinguishing true contributors from closely related non-contributors, even under challenging conditions. A recalculation of exhaustive LR for candidates obtaining LR>1 with the exhaustive method was used to increase discrimination further. An alternative to the exhaustive method, using a generalized likelihood ratio, returned values very close to those of the exhaustive method. A Shiny app was created as a graphical user interface to ease the analysis for practitioners.</div></div>","PeriodicalId":50435,"journal":{"name":"Forensic Science International-Genetics","volume":"81 ","pages":"Article 103365"},"PeriodicalIF":3.1000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"EFMex: Using EuroForMix to evaluate DNA mixtures with multiple persons of interest\",\"authors\":\"Øyvind Bleka, Magnus Dehli Vigeland, Peter Gill\",\"doi\":\"10.1016/j.fsigen.2025.103365\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We present EFMex (EuroForMix–Exhaustive), an R package for calculating likelihood ratios (LRs) in DNA mixture interpretation involving multiple persons of interest (POIs). The software implements an exhaustive method framework, evaluating all possible subsets of POIs as contributors to the mixture. We demonstrate the importance of this framework, particularly when contributors, such as close relatives, exhibit high allele sharing. A series of simulation experiments, designed to reflect complex casework scenarios, were conducted using three- and four-person mixtures in which at least two contributors were in the same family. The exhaustive method proved effective in distinguishing true contributors from closely related non-contributors, even under challenging conditions. A recalculation of exhaustive LR for candidates obtaining LR>1 with the exhaustive method was used to increase discrimination further. An alternative to the exhaustive method, using a generalized likelihood ratio, returned values very close to those of the exhaustive method. A Shiny app was created as a graphical user interface to ease the analysis for practitioners.</div></div>\",\"PeriodicalId\":50435,\"journal\":{\"name\":\"Forensic Science International-Genetics\",\"volume\":\"81 \",\"pages\":\"Article 103365\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-09-22\",\"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/S1872497325001450\",\"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/S1872497325001450","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
EFMex: Using EuroForMix to evaluate DNA mixtures with multiple persons of interest
We present EFMex (EuroForMix–Exhaustive), an R package for calculating likelihood ratios (LRs) in DNA mixture interpretation involving multiple persons of interest (POIs). The software implements an exhaustive method framework, evaluating all possible subsets of POIs as contributors to the mixture. We demonstrate the importance of this framework, particularly when contributors, such as close relatives, exhibit high allele sharing. A series of simulation experiments, designed to reflect complex casework scenarios, were conducted using three- and four-person mixtures in which at least two contributors were in the same family. The exhaustive method proved effective in distinguishing true contributors from closely related non-contributors, even under challenging conditions. A recalculation of exhaustive LR for candidates obtaining LR>1 with the exhaustive method was used to increase discrimination further. An alternative to the exhaustive method, using a generalized likelihood ratio, returned values very close to those of the exhaustive method. A Shiny app was created as a graphical user interface to ease the analysis for practitioners.
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.