二组分混合DNA样品STR图谱解释

对混合样品STR图谱的结果进行解释。实验模拟二组分DNA混合样品 ,复合扩增荧光检测 10个基因座 ,比较混合样品谱带 ,计算等位基因峰面积比。结果发现 :二组分DNA混合样品的等位基因数增加 ,样品的混合比例不同就出现峰面积的不平衡。在等位基因峰面积比值与样品组分混合比例接近时 ,可由峰面积比值推断混合样品的混合比例。在混合比例为 1∶2 0时 ,基本上检测不到来自少量混合成分的等位基因 ,表现为单一组分图谱 ;在混合比例为 1∶10时 ,含量低的组分的等位基因峰面积接近与主要组分的“Stutter”峰面积 ,与来自主要组分的等位基因峰面积差异很明显。能检出混合样品中少量成分等位基因的最高混合比例为 1∶10     

Intentional mixed buccal cell reference sample in a paternity case

We report a case where an alleged father (AF) attempted to substitute someone else's saliva sample for his reference sample in a paternity analysis. Buccal cells were collected from the AF and the child, and DNA analysis was performed using an autosomal STR loci (Identifiler). The profile from the AF showed extra peaks in some loci, as well as a much higher "X" allele peak relative to the "Y" allele peak at the amelogenin locus. After conducting reanalysis by another technician with another set of positive and negative controls, it was concluded that the only source of the mixed profile was by intentional introduction by the AF, at the time of sampling, of some foreign human biological material, most likely saliva from a woman. Owing to the inconclusive results, when the AF was called back to the lab and the peculiar results were explained to him, he admitted that he had introduced into his mouth saliva from another person in an attempt to be excluded as the father of the child. Although tampering with DNA reference samples is not common, some individuals may attempt to contaminate or otherwise adulterate specimens before DNA tests. Personnel responsible for sampling should be aware of this possibility and should try to establish procedures to avoid the problem.     

Establishing the most appropriate databases for addressing source level propositions.

Previous papers in Science & Justice have described the work of the Case Assessment and Interpretation (CAI) project that has been running for several years within the Forensic Science Service (FSS). The principles of the CAI model, which have developed through casework, are the foundation of a balanced, robust and logical approach to interpretation. The question arises frequently as to what is the most appropriate database that should be available to assist in assigning a value to a given probability. In this paper we present a set of guidelines in the form of flowcharts and explore them within the context of a range of case examples.     

Natural DNA mixtures generated in fraternal twins in utero

Analysis of multiple genetic loci using short tandem repeats (STR) is widely used in human identity testing because the extensive polymorphism at these loci allows for a high degree of discrimination among individuals. We recently received a forensic case that included several pieces of evidence and reference blood samples. Upon initial testing, one of the suspects had a DNA profile that included three alleles at four of the nine loci tested (vWA, FGA, TH01, and D5S818). At each locus, two of the alleles appeared to be "major" alleles with a third "minor" allele present. The profile appeared to be a mixture of two people. Contamination of this first reference sample was suspected and a second, unopened blood specimen was requested from this individual. The DNA profile from this second reference specimen was identical to that of the original specimen at each locus. One of the evidence samples also displayed an identical mixed DNA profile matching that of the reference specimens mentioned above. The relative peak heights of the two "major" and one "minor" allele remained constant in all three samples. Additional background information revealed that the suspect had not received a bone marrow transplant or blood transfusion. However, it was disclosed that this individual is a fraternal (dizygotic) twin. We hypothesize that an exchange of blood cells between the fetuses occurred in utero and that the additional alleles present in these reference samples are derived from cells contributed by his twin sibling. No additional specimens from the suspect or his twin could be obtained for confirmation, and our hypothesis remains untested. Forensic scientists should be aware of this possibility when faced with a DNA profile in which extra alleles at multiple loci are detected.     

STR和性别位点PCR产物的荧光自动检测

运用荧光染料标记引物、变性聚丙烯酰胺凝胶电泳 (denaturingpolyacrylamidegelelec trophoresis,denaturingPAGE)结合荧光法检测6个STR位点 (vWA31A、TH01、F13A1、FES、TPOX、CSF1PO)及1个性别鉴定位点(Amelogenin) ,就荧光自动检测的重复性、准确性、分辩力等方面进行了研究 ,建立了6个STR位点等位基因判定视窗及用荧光DNA测序仪进行STR分析的方法 ,实现电脑自动判读结果。结果表明 ,本文所述STR和性别鉴定的自动检测方法可靠、分辨力高 (可达1bp) ,所得数据有助于荧光自动DNA分型软件系统的数据积累。     

Direct comparison of post-28-cycle PCR purification and modified capillary electrophoresis methods with the 34-cycle “low copy number” (LCN) method for analysis of trace forensic DNA samples

The investigation of samples with low amounts of template DNA remains at the forefront of forensic DNA research and technology as it becomes increasingly important to gain DNA profile information from exceedingly trace levels of DNA. Previous studies have demonstrated that it is possible to obtain short tandem repeat (STR) profiles from <100 pg of template DNA by increasing the number of amplification cycles from 28 to 34, a modification often referred to as “low copy number” or LCN analysis. In this study, we have optimised post-PCR purification techniques applied after only 28 cycles of PCR, as well as using modified capillary electrophoresis injection conditions and have investigated the progressive application of these enhanced approaches. This paper reviews the characteristics of the profiles obtained by these methods compared with those obtained on the same samples after 34-cycle PCR. We observed comparable sensitivity to 34-cycle PCR in terms of the number of profiles with evidence of DNA and the number of allelic peaks per profile and we noted improved peak height and area magnitude with some sample types. Certain parameters reported to be adversely affected in 34-cycle LCN investigations, such as non-donor allele peaks and increased stutter peak ratio, were reduced by this approach. There are a number of advantages for trace samples in progressing from the standard 28-cycle process to the post-PCR processing method as compared to 34-cycle PCR method, including reduced sample consumption, reduced number of PCR amplifications required, and a staged approach to sample processing and profile interpretation.     

PENDULUM--a guideline-based approach to the interpretation of STR mixtures

Several years ago, a theory to interpret mixed DNA profiles was proposed that included a consideration of peak area using the method of least squares. This method of mixture interpretation has not been widely adopted because of the complexity of the associated calculations. Most reporting officers (RO) employ an experience and judgement based approach to the interpretation of mixed DNA profiles. Here we present an approach that has formalised the thinking behind this experience and judgement. This has been written into a computer program package called PENDULUM. The program uses a least squares method to estimate the pre-amplification mixture proportion for two potential contributors. It then calculates the heterozygous balance for all of the potential sets of genotypes. A list of "possible" genotypes is generated using a set of heuristic rules. External to the programme the candidate genotypes may then be used to formulate likelihood ratios (LR) that are based on alternative casework propositions. The system does not represent a black box approach; rather it has been integrated into the method currently used by the reporting officers at the Forensic Science Service (FSS). The time saved in automating routine calculations associated with mixtures analysis is significant. In addition, the computer program assists in unifying reporting processes, thereby improving the consistency of reporting.     

Validating TrueAllele® DNA mixture interpretation

Abstract: DNA mixtures with two or more contributors are a prevalent form of biological evidence. Mixture interpretation is complicated by the possibility of different genotype combinations that can explain the short tandem repeat (STR) data. Current human review simplifies this interpretation by applying thresholds to qualitatively treat STR data peaks as all‐or‐none events and assigning allele pairs equal likelihood. Computer review, however, can work instead with all the quantitative data to preserve more identification information. The present study examined the extent to which quantitative computer interpretation could elicit more identification information than human review from the same adjudicated two‐person mixture data. The base 10 logarithm of a DNA match statistic is a standard information measure that permits such a comparison. On eight mixtures having two unknown contributors, we found that quantitative computer interpretation gave an average information increase of 6.24 log units (min = 2.32, max = 10.49) over qualitative human review. On eight other mixtures with a known victim reference and one unknown contributor, quantitative interpretation averaged a 4.67 log factor increase (min = 1.00, max = 11.31) over qualitative review. This study provides a general treatment of DNA interpretation methods (including mixtures) that encompasses both quantitative and qualitative review. Validation methods are introduced that can assess the efficacy and reproducibility of any DNA interpretation method. An in‐depth case example highlights 10 reasons (at 10 different loci) why quantitative probability modeling preserves more identification information than qualitative threshold methods. The results validate TrueAllele^® DNA mixture interpretation and establish a significant information improvement over human review.     

Is it to the advantage of a defendant to infer a greater number of contributors to a questioned sample than is necessary to explain the observed DNA profile?

When a forensic scientist presents the results of a comparison between a DNA profile from a questioned sample with that of a defendant the interpretation will be based on the premise of a given number of contributors. It is quite common practice for defence counsel to ask how consideration of a greater number of putative contributors to the profile would affect the interpretation. This note discusses the response to such a request.     

Unexpected patterns in Y-STR analyses and implications for profile identification

Y-STR analysis is widely used in many fields, such as paternity testing, genealogy studies and in male/female mixtures. In many rape cases, Y-STRs are also useful for the determination of contributors’ number. Here we described a father/son pair with double peaks at DYS439 and DYS635 loci. This case should focus the attention on forensic interpretation of Y-haplotype profiles, because multiple alleles at various loci do not forcibly indicate that the sample originates from a mixture.We also report a case of two half-brothers with null allele at DYS448.Since DYS439 and DYS635 loci are located in the AZFa region and DYS448 locus in the AZFc region, we performed a molecular genetics study of these regions to evaluate a possible correlation between Y-STR profiles and Y chromosome deletions involved in infertility.     

DNA mixtures in forensic casework: a 4-year retrospective study

Occasionally interpretation guidelines from validation studies are difficult to apply to real forensic casework, especially in the case of mixed samples. Exogenous contamination, an unknown number of contributors or unbalanced proportion of each one in the sample and a varied degree of degradation of the biological materials, contribute to the difficulties in the interpretation of sample profiles. In this paper we have reviewed all the mixed genetic STR profiles encountered in our laboratory over 4 years (1997-2000) and evaluated the problems in the interpretation of the results. From 1547 criminal cases with 2424 samples typed, 163 showed a mixed profile (6.7%). We have observed that occasionally, a mixture appeared in the same sample with one multiplex amplification kit (e.g. Blue) and not with another (e.g. Green). From our results, it can be suggested that technical characteristics of the different fluorochrome groups in the multiplexes override the molecular characteristics of each STR in their capacity to detect mixtures.     

World population data for the HLA-DQA1, PM and D1S80 loci with least and most common profile frequencies for combinations of loci estimated following NRC II guidelines

All published and unpublished gene frequency data for the PCR-based loci HLA-DQA1, LDLR, GYPA, HBGG, D7S8, GC, and D1S80 that could be located are presented in summary tables. These gene frequencies provide the data necessary for estimating probabilities of chance match according to NRC II guidelines for any DNA profile that includes any combination of these loci for any of the populations. To illustrate the range of polymorphism for combined locus profiles, least and most common profile frequencies were estimated following NRC II guidelines for: the PM loci for all populations for which PM data were available; and for combinations of HLA-DQA1/PM, HLA-DQA1/D1S80, PM/D1S80, and HLA-DQA1/ PM/D1S80 for populations for which data were available for the relevant combinations. The profile frequencies were calculated at theta values of zero and 0.01. Minimum allele frequencies (MAF) were calculated, and are shown, for each data set for which the MAF was greater than the lowest observed allele frequency. Least common profile frequencies were calculated using MAF in those cases to illustrate a conservative estimate. The effect of using MAF versus lowest observed allele frequency in estimating least common profile frequencies is briefly illustrated as well. We finally show that aggregate U.S. gene frequency data for the classical MN and GC polymorphisms for both Caucasian and African-American populations is fully in accord with the DNA-based gene frequency data obtained from PM reverse dot-blot strips for GYPA and GC, respectively.     

The extent of STR chimerism in different biological samples following bone marrow transplantation: A case report

Biological samples recovered from recipients of allogeneic haematopoietic stem cell transplant (HSCT) contain genetic material from both donor and him/herself. This chimeric condition can greatly complicate analysis of a DNA evidence and undermine its power of discrimination, as the specimens could be mistakenly identified as a mixed sample when in fact it originated from a single person. Profiling reference samples could help clarify the profile anomalies, however, the degree of mixture between host’s and donor’s genetic materials has been reported to vary depending on the tissue from which DNA were obtained. As a result, knowledge to select appropriate sources of reference samples that would most likely reveal the person’s pre- and post-transplant alleles becomes necessary to minimise any possible misunderstanding during the subsequent DNA profile interpretation and comparison. This work investigated the extent of chimerism present in different types of biological samples collected from an individual who had undergone a bone marrow transplant as a child (post-transplant interval, PTI >28 years). DNA profiles from buccal cells, saliva, hair roots, and fingernail clippings were generated using AmpFℓSTR™ Identifiler™ Plus/Direct PCR Amplification Kit. The donor’s STR profile was used to identify donor- and host-specific alleles (DSA and HSA, respectively), and relative donor chimerism (%Ch) of each marker was calculated. Results showed that the saliva sample contained the highest level of chimerism, with complete profile of donor being detected and the mean %Ch was 34.0 ± 4.5. Four out of eight DSA dropped out from the buccal cell profile, and the mean %Ch was 24.2 ± 1.7. Hair roots and fingernail clippings yielded single source profiles and only host’s original alleles were present. Except for the fingernail results, these observations agreed with many of the previous studies, which further demonstrated the need for raising awareness among forensic genetic laboratories regarding the type of reference samples that should be collected in future cases.     

LoComatioN: a software tool for the analysis of low copy number DNA profiles

Previously, the interpretation of low copy number (LCN) STR profiles has been carried out using the biological or 'consensus' method-essentially, alleles are not reported, unless duplicated in separate PCR analyses [P. Gill, J. Whitaker, C. Flaxman, N. Brown, J. Buckleton, An investigation of the rigor of interpretation rules for STRs derived from less than 100 pg of DNA, Forens. Sci. Int. 112 (2000) 17-40]. The method is now widely used throughout Europe. Although a probabilistic theory was simultaneously introduced, its time-consuming complexity meant that it could not be easily applied in practice. The 'consensus' method is not as efficient as the probabilistic approach, as the former wastes information in DNA profiles. However, the theory was subsequently extended to allow for DNA mixtures and population substructure in a programmed solution by Curran et al. [J.M. Curran, P. Gill, M.R. Bill, Interpretation of repeat measurement DNA evidence allowing for multiple contributors and population substructure, Forens. Sci. Int. 148 (2005) 47-53]. In this paper, we describe an expert interpretation system (LoComatioN) which removes this computational burden, and enables application of the full probabilistic method. This is the first expert system that can be used to rapidly evaluate numerous alternative explanations in a likelihood ratio approach, greatly facilitating court evaluation of the evidence. This would not be possible with manual calculation. Finally, the Gill et al. and Curran et al. papers both rely on the ability of the user to specify two quantities: the probability of allelic drop-out, and the probability of allelic contamination ("drop-in"). In this paper, we offer some guidelines on how these quantities may be specified.     

刑法解释的变与不变——以行贿罪构成要件“为谋取不正当利益”的解释为视角

行贿罪必须具备＂为谋取不正当利益＂的目的。将＂为谋取不正当利益＂作为行贿罪法定构成要件,是我国立法机关经过审慎考察我国国情、国外立法之后的选择。何谓＂为谋取不正当利益＂,在司法实践、刑法学界存在争议。关于＂为谋取不正当利益＂的解释,体现了刑法解释的变与不变——随着社会的发展,刑法解释结论肯定会发生变化,但在某个具体的历史阶段,刑法解释的边界又是可以划分的。恰当地理解刑法条文,必须根植于社会现实与历史传统之中。     

Characterization of the N+3 stutter product in the trinucleotide repeat locus DYS392

Stutter products generated during DNA amplification by the polymerase chain reaction (PCR) may complicate mixture interpretation. The PCR amplification of the DYS392 locus typically results in three distinct detectable PCR products: the true allele product (N), a stutter product three bases smaller (N-3), and a reproducible low-level product, three bases larger (N+3). Sequence analysis of the N+3 product demonstrated that its sequence is one TAT repeat longer than the true allele product. Our experiments demonstrated that the quantity of both N-3 and N+3 stutter increased as the allele number increased. The percent stutter also increased as the magnesium concentration was increased in the reaction, as well as when the amount of input DNA was decreased. As both stutter products behave in a similar and reproducible fashion, the same rules that apply to the interpretation of N-3 stutter products in short tandem repeat analysis, can be applied to N+3 stutters. The characterization of the DYS392 N+3 product is the first detailed published study of a stutter product larger than the true allele.     

Isolating cells from non-sperm cellular mixtures using the PALM microlaser micro dissection system

Use of the Positioning Ablation Laser MicroBeam (PALM) microlaser system to isolate specific cellular components from somatic cellular mixtures (blood and saliva) prior to DNA extraction and typing is compared with routine DNA extraction and typing of the same mixture samples. Mixtures of blood and saliva at differing ratios generated complex DNA profiles that included allele peaks originating from each of the donors, or just those of the major contributor. Isolation of cells with the PALM microlaser prior to DNA extraction allowed informative, single-source, DNA profiles to be generated from a known cell type/origin.     

The application of an automated allele concordance analysis system (CompareCalls) to ensure the accuracy of single-source STR DNA profiles

A powerful method for validating a scientific result is to confirm specific results utilizing independent methodologies and processing pathways. Thus, we have designed, developed and validated an automated allele concordance analysis system (CompareCalls, patent pending) that performs comparisons between two independent DNA analysis platforms to ensure the highest accuracy for allele calls. Application of this system in a quality assurance role has shown the potential to eliminate greater than 90% of the STR analysis required of a DNA data analyst. While this system is broadly applicable for use with any two independent STR analysis programs, either prior to or following human data review, we are presenting its application to data generated with the ABI Prism Genotyper software system versus data generated with the SurelockID system. With the automated allele concordance analysis system, the GeneScan DNA fragment data generated from an ABI 377 gel image are analyzed in two independent pathways. In one analysis pathway, the GeneScan data are imported into Genotyper software where STR labels are assigned to the fragment data based upon the criteria of the Kazam 20% macro. The "Kazam" macro provided with the Genotyper program works by labeling all peaks in a category (or locus) and then filtering (or removing) the labels from peaks, such as those in stutter positions, that meet predefined criteria. In the second pathway, the GeneScan data are imported into the SurelockID analysis platform where STR labels and error messages are assigned to the fragment data based upon hard-coded allele calling criteria and quality parameters. The resulting STR allele calls for each analysis platform are then compared, utilizing the automated allele concordance analysis system. Any differences in the STR allele calls between the two systems are flagged in a discordance report for further review by a qualified DNA data analyst. The automated allele concordance analysis system guides the DNA data analyst to the discordant data generated by either analysis platform. Additionally, the analyst is also directed to data that are of less than pristine quality which may have an increased potential for errors in interpretation by either analysis platform or by a human DNA data analyst. Implementation of an automated allele concordance analysis system will yield high-quality data for CODIS and free the human DNA data analyst to perform other critical duties within the laboratory.     

Nuclear DNA typing from ancient teeth

Because of the adverse effects that diagenesis exert on ancient skeletal remains, DNA from these samples is often compromised to the point where genetic typing can be challenging. Nevertheless, robust and reliable methods are currently available to allow successful genotyping of ancient specimens. Here we report nuclear DNA-based methods and typing strategies used to analyze 2 human skeletons from a medieval burial. Reliable DNA nuclear profiles were obtained from teeth, whereas mitochondrial DNA analyses in bones were inconclusive. A complete nuclear mini short tandem repeat profile was obtained from a well-preserved premolar, but only a partial one from the femur. Increasing the sensitivity of the polymerase chain reaction system allowed a full profile from the latter, but the presence of artifacts reinforced the idea that the interpretation of this kind of analysis must be performed with caution. The results presented here also indicate that DNA from dental pieces can be better preserved than from bones, even in the case of well-preserved long bones with thick cortical tissue such as the femurs, and have a better chance of successful genetic typing, probably because of the high degree of protection conferred to the DNA by the enamel.