Stable isotope analysis of white paints and likelihood ratios

Architectural paints are commonly found as trace evidence at scenes of crime. Currently the most widely used technique for the analysis of architectural paints is Fourier Transformed Infra-Red Spectroscopy (FTIR). There are, however, limitations to the forensic analysis of white paints, and the ability to discriminate between samples.Isotope ratio mass spectrometry (IRMS) has been investigated as a potential tool for the analysis of architectural white paints, where no preparation of samples prior to analysis is required. When stable isotope profiles (SIPs) are compared, there appears to be no relationship between paints from the same manufacturer, or between paints of the same type. Unlike existing techniques, IRMS does not differentiate resin samples solely on the basis of modifier or oil-type, but exploits additional factors linked to samples such as geo-location where oils added to alkyd formulations were grown. In combination with the use of likelihood ratios, IRMS shows potential, with a false positive rate of 2.6% from a total of 1275 comparisons.     

似然比在法庭说话人确认中的应用

本文把成功应用于DNA检验的证据评估方法（似然比）应用于法庭语音证据评估之中,提取语音的LPC作为识别特征,并使用45人电话对话录音中元音/a/作为样本进行了测试。结果表明该方法不仅能正确识别说话人,而且能根据当前嫌疑人样本和问题语音样本的差异,量化该语音样本作为证据的力度,为法庭提供科学合理的证据评估结果和科学解释。同时,自动特征提取的引入比起人工提取共振峰特征,提高了工作效率,识别系统性能也获得大幅提升。     

A cautionary note on the evaluation of genetic evidence from uniparentally transmitted markers

The combination of the information obtained from lineage genetic markers, such as mitochondrial DNA (mtDNA) and the non-homologous region of Y-chromosome, with data resulting from meiotically recombining loci (diploid/autosomal or haplodiploid/X chromosome) into a single likelihood ratio has been recently proposed. In this work we challenge this proposal and demonstrate that while the genetic evidence obtained from loci which reshuffle at meiosis is appropriate for individual probability calculations, mtDNA and Y-chromosome data are not and, consequently, that joining the evidential value of the two types of markers is generally inconsistent and should be avoided. The assumption of non-involvement of relatives must be clearly and explicitly stated and its acceptance must be left to the court decision.     

基于似然率方法的语音证据评价

法庭话者识别技术引入我国已有二十多年,目前该技术已经广泛应用于各类刑事和民事案件中。纵观世界各国的法庭证据评价体系,除了DNA证据以外,其他证据检验鉴定结论的表述通常有三种:同一认定、否定排除和倾向性意见。简单肯定和否定的结论存在很大的弊端,即过高估计了证据的力度,因而有时可能会造成错案。鉴于此,国外一些学者提出在鉴定结论的表述和价值评判上引入基于贝叶斯理论的"似然率"方法。本文结合目前的法庭话者鉴别方法,重点介绍基于贝叶斯理论下的"似然率"理论体系,并阐明该方法的优越性、局限性以及一些亟待解决的问题。     

Avoiding overstating the strength of forensic evidence: Shrunk likelihood ratios/Bayes factors

When strength of forensic evidence is quantified using sample data and statistical models, a concern may be raised as to whether the output of a model overestimates the strength of evidence. This is particularly the case when the amount of sample data is small, and hence sampling variability is high. This concern is related to concern about precision. This paper describes, explores, and tests three procedures which shrink the value of the likelihood ratio or Bayes factor toward the neutral value of one. The procedures are: (1) a Bayesian procedure with uninformative priors, (2) use of empirical lower and upper bounds (ELUB), and (3) a novel form of regularized logistic regression. As a benchmark, they are compared with linear discriminant analysis, and in some instances with non-regularized logistic regression. The behaviours of the procedures are explored using Monte Carlo simulated data, and tested on real data from comparisons of voice recordings, face images, and glass fragments.     

Calculating likelihood ratios for a mixed DNA profile when a contribution from a genetic relative of a suspect is proposed

This technical note describes a practical method for evaluating evidence in the case of a two person conditioned DNA mixture where the defence proposition is that the unknown contributor is genetically related to the suspect. A conditioned mixture is one where the presence of DNA from one of two individuals is accepted by both prosecution and defence. A typical example would be a vaginal swab in an alleged rape case, where the presence of the complainant's DNA would be expected and samples have been taken from the complainant and a suspect. Much has been written about the interpretation of such mixtures and the calculation of the conditional genotype probabilities that must be carried out. In general, such treatments assume that the unknown contributor, under the defence proposition, is unrelated to the known individuals. In this paper, we consider the case where the defence proposition is that the unknown contributor is genetically related to the suspect. We describe a method, incorporating a flow chart and reference tables that facilitate manual calculations of the likelihood ratio for several postulated genetic relationships.     

A MCMC method for resolving two person mixtures

In this paper a Monte Carlo Markov Chain (MCMC) method for resolving DNA mixtures containing at most four peaks per locus into a major and a minor contributor is presented. Unlike previous methods, this method can provide posterior probability assessments of the most probable genotype and a likely range for the mixing proportion. The proposed method is applied to two DNA mixtures where the true genotypes of the contributors are known. The method provides posterior probabilities of the genotypes of the contributes which concord strongly with the known facts.     

DNA commission of the International Society of Forensic Genetics: Recommendations on the interpretation of mixtures

The DNA commission of the International Society of Forensic Genetics (ISFG) was convened at the 21st congress of the International Society for Forensic Genetics held between 13 and 17 September in the Azores, Portugal. The purpose of the group was to agree on guidelines to encourage best practice that can be universally applied to assist with mixture interpretation. In addition the commission was tasked to provide guidance on low copy number (LCN) reporting. Our discussions have highlighted a significant need for continuing education and research into this area. We have attempted to present a consensus from experts but to be practical we do not claim to have conveyed a clear vision in every respect in this difficult subject. For this reason, we propose to allow a period of time for feedback and reflection by the scientific community. Then the DNA commission will meet again to consider further recommendations.     

Simulated approach to estimate the number and combination of known/unknown contributors in mixed DNA samples using 15 short tandem repeat loci

The calculation of likelihood ratios (LRs) for DNA mixture analysis is necessary to establish an appropriate hypothesis based on the estimated number of contributors and known contributor genotypes. In this paper, we recommend a relevant analytical method from the 15 short tandem repeat typing system (the Identifiler multiplex), which is used as a standard in Japanese forensic practice and incorporates a flowchart that facilitates hypothesis formulation. We postulate that: (1) all detected alleles need to be above the analytical threshold (e.g., 150 relative fluorescence unit (RFU)); (2) alleles of all known contributors should be detected in the mixture profile; (3) there should be no contribution from close relatives. Furthermore, we deduce that mixtures of four or more persons should not be interpreted by Identifiler as the LR values of 100,000 simulated cases have a lower expectation of exceeding our temporal LR threshold (10,000) which strongly supports the prosecution hypothesis. We validated the method using various computer-based simulations. The estimated number of contributors is most likely equal to the actual number if all alleles detected in the mixture can be assigned to those from the known contributors. By contrast, if an unknown contributor(s) needs to be designated, LRs should be calculated from both two-person and three-person contributions. We also consider some cases in which the unknown contributor(s) is genetically related to the known contributor(s).     

“同一认定”中的意见决策论

纵观法庭科学和其相关学科分支,学术研究人员和司法鉴定实践者对“同一认定”概念的理解存在着不同程度的偏离,其主张为“可以从潜在的一组来源中确定唯一的来源”。特别是近年来,在“同一认定”作为一种鉴定意见的实践发展进程中,关于“同一认定”的理解和认识仍停留在原有阶段,实践中基本没有实质性的改变[1]。更重要的是,专业协会和司法鉴定实践者舍弃了正式的意见决策论的概念来界定“同一认定”的本质,主要的难题是我们难以把握鉴定意见结果可取还是不可取的衡量尺度（如,利用效用函数）。在该领域现有的研究基础上,本论文引入并介绍了效用函数及损失函数的基本概念,同时特别提及他们在司法鉴定同一认定领域中的应用。本文强调,正确地理解同一认定意见决策工具,不仅可以减少“个人的”主观影响,而且还展示了如何将该理论与现实中的意见判断问题的构成特点联系起来。     

Potential forensic application of closely linked autosomal STR haplotype in complex kinship testing

It has been noticed that the most commonly used commercial STR kits and mtDNA may not be able to solve some special kinship cases, such as alleged aunt, uncle, niece, nephew or half-siblings. Due to its unique hereditary pattern, the haplotype of genetic markers could be a solution of these questioned family relationships. In this study, we investigated the genetic features of an autosomal STR cluster by employing confirmed family samples. To evaluate the forensic practical value of autosomal STR haplotype, 5 closely linked STR loci, D1S2127-D1S2138-D1S3460-D1S1643-D1S518, which were arranged in about 2 cM region (from 186.29 cM to 188.02 cM; 1 cM represents 1% average recombination between two loci) on chromosome one, were selected to compose haplotype. Genotyping of 60 samples from 8 trios (father–mother–children), 8 duos (father or mother–children), and 4 three-generation pedigrees were performed using PAGE. Haplotypes were identified in the child by determining alleles for all 5 loci transmitted from each parent. Total 73 haplotypes were detected in all samples and 34 haplotypes were observed to be passed down as a whole and was corresponding with the inherited characteristics of haplotype. In all family members, 34 unrelated individuals contributed 65 haplotypes, of which 62 haplotypes appeared only once and the rest 3 haplotypes appeared twice. No recombination was observed in 4 three-generation pedigrees. In conclusion, the haplotype consisting of 5 closely linked autosomal STRs could pass down steadily as a whole. The family specificity of most haplotypes may provide a unique advantage in forensic complex kinship testing.     

On the meaning of the likelihood ratio: Is a large number always an indication of strength of evidence?

There is general lack of awareness that high LR based on complex propositions e.g. three contributors, does not necessarily translate into probative evidence against a suspect. In some cases there is an increased chance of false inclusion of a person of interest. This is an issue for all LR-based models. One way to address this issue is to further evaluate or qualify the estimated LR by a performance test. Based on simulations, this was achieved by non-contributor-testing: replacing the reference profile of interest (typically the suspect's profile), by the profile of a simulated random man. An exact p-value can also be calculated, giving the chance of observing an LR-value exceeding the estimated if the defense hypothesis is true.     

Choosing relatives for DNA identification of missing persons

DNA-based analysis is integral to missing person identification cases. When direct references are not available, indirect relative references can be used to identify missing persons by kinship analysis. Generally, more reference relatives render greater accuracy of identification. However, it is costly to type multiple references. Thus, at times, decisions may need to be made on which relatives to type. In this study, pedigrees for 37 common reference scenarios with 13 CODIS STRs were simulated to rank the information content of different combinations of relatives. The results confirm that first-order relatives (parents and fullsibs) are the most preferred relatives to identify missing persons; fullsibs are also informative. Less genetic dependence between references provides a higher on average likelihood ratio. Distant relatives may not be helpful solely by autosomal markers. But lineage-based Y chromosome and mitochondrial DNA markers can increase the likelihood ratio or serve as filters to exclude putative relationships.     

A discussion of the merits of random man not excluded and likelihood ratios

DNA mixture interpretation is undertaken either by calculating a LR or an exclusion probability (RMNE or its complement CPI). Debate exists as to which has the greater claim. The merits and drawbacks of the two approaches are discussed. We conclude that the two matters that appear to have real force are: (1) LRs are more difficult to present in court and (2) the RMNE statistic wastes information that should be utilised.     

Probabilistic expert systems for handling artifacts in complex DNA mixtures

This paper presents a coherent probabilistic framework for taking account of allelic dropout, stutter bands and silent alleles when interpreting STR DNA profiles from a mixture sample using peak size information arising from a PCR analysis. This information can be exploited for evaluating the evidential strength for a hypothesis that DNA from a particular person is present in the mixture. It extends an earlier Bayesian network approach that ignored such artifacts. We illustrate the use of the extended network on a published casework example.     

Use of DNA profiles for investigation using a simulated national DNA database: Part II. Statistical and ethical considerations on familial searching

Familial searching consists of searching for a full profile left at a crime scene in a National DNA Database (NDNAD). In this paper we are interested in the circumstance where no full match is returned, but a partial match is found between a database member's profile and the crime stain. Because close relatives share more of their DNA than unrelated persons, this partial match may indicate that the crime stain was left by a close relative of the person with whom the partial match was found. This approach has successfully solved important crimes in the UK and the USA. In a previous paper, a model, which takes into account substructure and siblings, was used to simulate a NDNAD [1]. In this paper, we have used this model to test the usefulness of familial searching and offer guidelines for pre-assessment of the cases based on the likelihood ratio. Siblings of “persons” present in the simulated Swiss NDNAD were created. These profiles (N = 10,000) were used as traces and were then compared to the whole database (N = 100,000). The statistical results obtained show that the technique has great potential confirming the findings of previous studies. However, effectiveness of the technique is only one part of the story. Familial searching has juridical and ethical aspects that should not be ignored. In Switzerland for example, there are no specific guidelines to the legality or otherwise of familial searching. This article both presents statistical results, and addresses criminological and civil liberties aspects to take into account risks and benefits of familial searching.     

Resolution of African versus non-African origin using a likelihood based method and 11 Y-chromosomal STRs

We propose a simple method for estimation of genetic origin, based on ratios between allelic frequencies of 11 widely applied Y-chromosomal STRs. Using this strategy on 488 men of known ethnicity, it correctly discerned Africans from non-Africans in 89% of the cases.