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.     

Performance evaluation of two multiplexes used in fluorescent short tandem repeat DNA analysis

The performance of two commercial multiplex kits that together amplify the 13 core short tandem repeat (STR) loci currently in use by forensic laboratories and the U.S. national Combined DNA Indexing System (CODIS) were evaluated. The typing systems examined were AmpFlSTR Profiler Plus and AmpFlSTR COfiler (PE Applied Biosystems, Foster City, CA). Electrophoretic separation and detection of the fluorescent PCR products was achieved by capillary electrophoresis (CE) using an ABI Prism 310 Genetic Analyzer. The studies addressed the on-site validation of the instrument, the software, and each typing system. These studies included instrument sensitivity, resolution, precision, binning, peak height ratios, mixtures, stutter, and the amplification of non-probative and simulated forensic samples. Other additional developmental-type work is also reported herein, such as species specificity testing and amplification of environmentally insulted samples. Amplification conditions were found to be robust and the primer sets shown to be specific to human DNA. Stutter and peak height ratios fell within limits published by the manufacturer and other laboratories. The data demonstrate that the CE instrument can consistently resolve fragments differing in length by one base and that the +/-0.5 base bin used by the Genotyper software is acceptable for making accurate allele calls. Correct typing results were obtained from non-probative and simulated case samples, as well as samples exposed to outdoor environmental conditions. The results support the conclusion that DNA extracted from biological samples routinely encountered in the forensic laboratory can be reliably analyzed with AmpFlSTR Profiler Plus and COfiler using CE.     

Uncertainty in probabilistic genotyping of low template DNA: A case study comparing STRMix™ and TrueAllele™

Two probabilistic genotyping (PG) programs, STRMix™ and TrueAllele™, were used to assess the strength of the same item of DNA evidence in a federal criminal case, with strikingly different results. For STRMix, the reported likelihood ratio in favor of the non-contributor hypothesis was 24; for TrueAllele it ranged from 1.2 million to 16.7 million, depending on the reference population. This case report seeks to explain why the two programs produced different results and to consider what the difference tells us about the reliability and trustworthiness of these programs. It uses a locus-by-locus breakdown to trace the differing results to subtle differences in modeling parameters and methods, analytic thresholds, and mixture ratios, as well as TrueAllele's use of an ad hoc procedure for assigning LRs at some loci. These findings illustrate the extent to which PG analysis rests on a lattice of contestable assumptions, highlighting the importance of rigorous validation of PG programs using known-source test samples that closely replicate the characteristics of evidentiary samples. The article also points out misleading aspects of the way STRMix and TrueAllele results are routinely presented in reports and testimony and calls for clarification of forensic reporting standards to address those problems.     

Validating TrueAllele® Interpretation of DNA Mixtures Containing up to Ten Unknown Contributors

Most DNA evidence is a mixture of two or more people. Cybergenetics TrueAllele^® system uses Bayesian computing to separate genotypes from mixture data and compare genotypes to calculate likelihood ratio (LR) match statistics. This validation study examined the reliability of TrueAllele computing on laboratory-generated DNA mixtures containing up to ten unknown contributors. Using log(LR) match information, the study measured sensitivity, specificity, and reproducibility. These reliability metrics were assessed under different conditions, including varying the number of assumed contributors, statistical sampling duration, and setting known genotypes. The main determiner of match information and variability was how much DNA a person contributed to a mixture. Observed contributor number based on data peaks gave better results than the number known from experimental design. The study found that TrueAllele is a reliable method for analyzing DNA mixtures containing up to ten unknown contributors.     

Developmental validation of reduced-size STR Miniplex primer sets

This paper describes a developmental validation study of three Miniplex sets covering 12 of the 13 CODIS loci. As these new sets will be used for the analysis of degraded and low level DNA, the validation studies were performed using 100-125 pg of DNA, the lowest input level at which peak balance, peak intensity, and allele consistency were stable. To demonstrate the applicability of the Miniplex sets to forensic casework, these validation studies were completed in accordance with the Scientific Working Group on DNA Analysis Methods (SWGDAM). A range of tests were performed including studies of concordance with standard multiplex kits, sensitivity and reproducibility, and PCR amplification conditions. Additionally, studies of mixtures, nonhuman and environmentally degraded DNA, and simulated forensic samples were performed. Our results demonstrate that Miniplex STR amplification procedures are a robust and sensitive tool for the analysis of degraded DNA.     

Probabilistic SNP genotyping at low DNA concentrations

We present a statistical method for biallelic SNP genotyping that reduces the risk of wrong SNP calls and gives fewer no-calls. The method uses a symmetric multinomial logistic regression model with an intuitive graphical interpretation. Its probabilistic nature gives the user control over the accepted risk through the estimated genotype probabilities. We compared the performance of our method with the HID SNP Genotyper v.4.3.1 plug-in (HSG) (Thermo Fisher Scientific) and the additional criteria of the University of Copenhagen (UCPH) through a series of six DNA dilutions from 500 pg to 16 pg DNA. The HSG method made wrong calls from 62.5 pg DNA and below, while the UCPH method made wrong calls at 16 pg DNA. Our method allowed SNP genotyping of 16 pg DNA without making wrong calls. Depending on the DNA dilution, our method also reduced the number of no-calls by 70–96 % compared to UCPH method and 59–69 % compared to the HSG method. Our method can be used for any biallelic genotyping.     

Variant alleles on the penta E locus in the PowerPlex 16 kit

Penta E in the PowerPlex 16 kit is a pentanucleotide tandem repeat marker located on Chromosome 15, containing an AAAGA repeat motif. Variant alleles (18.4 and 19.4) were found in the Japanese population. A sequence analysis revealed that both the variant alleles had a partial repeat motif of AAAA, resulting in one-base-shorter alleles compared to known alleles. Despite the relatively large amplicon sizes (379 to 474 bp) of Penta E, an accurate allele assignment can be reliably made by capillary electrophoresis. However, alleles differing in size by only one base (e.g., 18.4 and 19) were not separated and appeared as a single broad peak. The Genotyper software assigned one of the component alleles to this peak. Therefore, such broad peaks require careful interpretation so as to not overlook the other component allele contained by the peak. As an index to recognize a peak containing two alleles, the ratio of peak area to peak height was found to be useful.     

Systematic differences in electropherogram peak heights reported by different versions of the GeneScan software

DNA profiling using STRs on the 310 and 3100 Genetic Analyzers routinely generates electropherograms that are analyzed with the GeneScan software available from the instrument's manufacturer, Applied Biosystems. Users have been able to choose from three different smoothing options that have been known to result in significant differences in the peak heights that are reported. Improvements in the underlying algorithm of the most recent version of the software also result in significant and somewhat predictable differences in peak height values. Laboratories that have performed validation studies using older versions of GeneScan should either reanalyze the data generated in those validation studies with the newest version of the software or otherwise take into consideration the systematically higher peak height values obtained as they begin following the recommendation of the manufacturer and use the new algorithm.     

Automated PCR setup for forensic casework samples using the Normalization Wizard and PCR Setup robotic methods

Human genome, pharmaceutical and research laboratories have long enjoyed the application of robotics to performing repetitive laboratory tasks. However, the utilization of robotics in forensic laboratories for processing casework samples is relatively new and poses particular challenges. Since the quantity and quality (a mixture versus a single source sample, the level of degradation, the presence of PCR inhibitors) of the DNA contained within a casework sample is unknown, particular attention must be paid to procedural susceptibility to contamination, as well as DNA yield, especially as it pertains to samples with little biological material. The Virginia Department of Forensic Science (VDFS) has successfully automated forensic casework DNA extraction utilizing the DNA IQ(trade mark) System in conjunction with the Biomek 2000 Automation Workstation. Human DNA quantitation is also performed in a near complete automated fashion utilizing the AluQuant Human DNA Quantitation System and the Biomek 2000 Automation Workstation. Recently, the PCR setup for casework samples has been automated, employing the Biomek 2000 Automation Workstation and Normalization Wizard, Genetic Identity version, which utilizes the quantitation data, imported into the software, to create a customized automated method for DNA dilution, unique to that plate of DNA samples. The PCR Setup software method, used in conjunction with the Normalization Wizard method and written for the Biomek 2000, functions to mix the diluted DNA samples, transfer the PCR master mix, and transfer the diluted DNA samples to PCR amplification tubes. Once the process is complete, the DNA extracts, still on the deck of the robot in PCR amplification strip tubes, are transferred to pre-labeled 1.5 mL tubes for long-term storage using an automated method. The automation of these steps in the process of forensic DNA casework analysis has been accomplished by performing extensive optimization, validation and testing of the software methods.     

Developmental validation of 15 X chromosomal short tandem repeat markers

The use of X chromosomal short tandem repeat (STR) markers has been greatly increasing in the forensic setting. Using guidelines set forth previously for the validation of autosomal and Y STRs, aspects of the feasibility of routine X chromosomal STR use were evaluated. Two mini-X chromosomal STR multiplexes capable of amplifying 15 total markers were developed and utilized to determine allele nomenclature, allele/genotype frequencies, mutation rates, and linkage between markers. Additionally, a concordance study between these multiplexes and a commercially available kit was performed. Here, the authors present an overview of this extensive developmental validation study.     

GeneMarker® HID: A reliable software tool for the analysis of forensic STR data

Abstract: GeneMarker^® HID was assessed as a software tool for the analysis of forensic short tandem repeat (STR) data and as a resource for analysis of custom STR multiplexes. The software is easy to learn and use, and includes design features that have the potential to reduce user fatigue. To illustrate reliability and accuracy, STR data from both single‐source and mixture profiles were analyzed and compared to profiles interpreted with another software package. A total of 1898 STR profiles representing 28,470 loci and more than 42,000 alleles were analyzed with 100% concordance. GeneMarker HID was also used to successfully analyze data generated from a custom STR multiplex, with simplified and rapid implementation. Finally, the impact of the user‐friendly design features of the software was assessed through a time scale study. The results suggest that laboratories can reduce the time required for data analysis by at least 25% when using GeneMarker HID.     

Validation of a 21-locus autosomal SNP multiplex for forensic identification purposes

A single nucleotide polymorphism (SNP) multiplex has been developed to analyse highly degraded and low copy number (LCN) DNA template, i.e. <100 pg, for scenarios including mass disaster identification. The multiplex consists of 20 autosomal non-coding loci plus Amelogenin for sex determination, amplified in a single tube PCR reaction and visualised on the Applied Biosystems 3100 capillary electrophoresis (CE) system. Allele-specific primers tailed with shared universal tag sequences were designed to speed multiplex design and balance the amplification efficiencies of all loci through the use of a single reverse and two differentially labelled allele denoting forward universal primers. As the multiplex is intended for use with samples too degraded for conventional profiling, a computer program was specifically developed to aid interpretation. Critical factors taken into account by the software include empirically determined extremes of heterozygous imbalance (Hb) and the drop-out threshold (Ht) defined as the maximum peak height of a surviving heterozygous allele, where its partner may have dropped out. The discrimination power of the system is estimated at 1 in 4.5 million, using a White Caucasian population database. Comparisons using artificially degraded samples profiled with both the SNP multiplex and AMPFISTR SGM plus (Applied Biosystems) demonstrated a greater likelihood of obtaining a profile using SNPs for certain sample types. Saliva stains degraded for 147 days generated an 81% complete SNP profile whilst short tandem repeats (STRs) were only 18% complete; similarly blood degraded for 243 days produced full SNP profiles but only 9% with STRs. Reproducibility studies showed concordance between SNP profiles for different sample types, such as blood, saliva, semen and hairs, for the same individual, both within and between different DNA extracts.     

Exploring the Impacts of Ordinary Laboratory Alterations During Forensic DNA Processing on Peak Height Variation,Thresholds, and Probability of Dropout,

Impacts of validation design on DNA signal were explored, and the level of variation introduced by injection, capillary changes, amplification, and kit lot was surveyed by examining a set of replicate samples ranging in mass from 0.25 to 0.008 ng. The variations in peak height, heterozygous balance, dropout probabilities, and baseline noise were compared using common statistical techniques. Data indicate that amplification is the source of the majority of the variation observed in the peak heights, followed by capillary lots. The use of different amplification kit lots did not introduce variability into the peak heights, heterozygous balance, dropout, or baseline. Thus, if data from case samples run over a significant time period are not available during validation, the validation must be designed to, at a minimum, include the amplification of multiple samples of varying quantity, with known genotype, amplified and run over an extended period of time using multiple pipettes and capillaries.     

TWGDAM validation of AmpFlSTR PCR amplification kits for forensic DNA casework

Laboratory procedures used in short tandem repeat (STR) analysis were subjected to various scenarios that assessed reliability and identified potential limitations. These validation studies were designed as recommended by the Technical Working Group on DNA Analysis Methods (TWGDAM) and the DNA Advisory Board (DAB) (17,18). Various DNA samples were amplified by the polymerase chain reaction (PCR) using AmpFlSTR PCR Amplification Kits (i.e., AmpFlSTR Green I, Profiler, Profiler Plus, and COfiler kits), detected with ABI Prism instrumentation, and analyzed using GeneScan and Genotyper software. Data acquired in these studies reinforced an existing body of knowledge and expertise regarding application and interpretation of STR typing in the forensic science community. Consistent STR genotypes were detected in various body tissues and fluids. Inter-laboratory comparisons produced concordant genotype results. Quantitative interpretational aids for DNA mixtures were characterized. Ability of the typing systems to type potentially compromised samples reliably was evaluated. Nonprobative case evidentiary DNA was successfully amplified, genotyped, and interpreted. Potential limitations or cautionary factors in the interpretation of minimal fluorescence intensity were demonstrated. Differential amplification between loci was observed when PCR was inhibited; preferential amplification typically was not. Single AmpFlSTR locus amplification did not offer consistent benefit over AmpFlSTR multiplexing, even in cases of DNA degradation or PCR inhibition. During rigorous evaluation, AmpFlSTR PCR Amplification Kits reproducibly yielded sensitive and locus-specific results, as required in routine forensic analyses.     

Validation of the AMPFℓSTR® MiniFilerTM PCR Amplification Kit for Use in Forensic Casework*

Abstract: The AmpF?STR^® MiniFiler^TM PCR Amplification Kit is designed to genotype degraded and/or inhibited DNA samples when the AmpF?STR^® Identifiler^TM PCR Amplification Kit is incapable of generating a complete genetic profile. Validation experiments, following the SWGDAM guidelines, were designed to evaluate the performance of MiniFiler. Data obtained demonstrated that MiniFiler, when used in conjunction with Identifiler, provided an increased ability to obtain genetic profiles from challenged samples. The optimum template range was found to be between 0.2 and 0.6 ng, with 0.3 ng yielding the best results. Full concordance was achieved between the MiniFiler kit and Identifiler kit except in a single case of a null allele at locus D21S11. Numerous instances of severe heterozygous peak imbalance (<50%) were observed in single source samples amplified within the optimum range of input DNA suggesting that caution be taken when attempting to deduce component genotypes in a mixture.     

The collation of forensic DNA case data into a multi-dimensional intelligence database

The primary aim of any DNA Database is to link individuals to unsolved offenses and unsolved offenses to each other via DNA profiling. This aim has been successfully realised during the operation of the New Zealand (NZ) DNA Databank over the past five years. The DNA Intelligence Project (DIP), a collaborative project involving NZ forensic and law enforcement agencies, interrogated the forensic case data held on the NZ DNA databank and collated it into a functional intelligence database. This database has been used to identify significant trends which direct Police and forensic personnel towards the most appropriate use of DNA technology. Intelligence is being provided in areas such as the level of usage of DNA techniques in criminal investigation, the relative success of crime scene samples and the geographical distribution of crimes. The DIP has broadened the dimensions of the information offered through the NZ DNA Databank and has furthered the understanding and investigative capability of both Police and forensic scientists. The outcomes of this research fit soundly with the current policies of 'intelligence led policing', which are being adopted by Police jurisdictions locally and overseas.     

犯罪剖绘：科学还是艺术？

犯罪剖绘（criminal profiling）为分析（连续）犯罪行为型态的技术,藉由统计技术分析潜在犯罪者、被害者与犯罪现场迹证等三者之间相互联结可能性。然犯罪剖绘技术应用至＂案件连结分析＂,可根据犯罪现场所遗留迹证（含心理迹证）,预测/推论犯罪者之人口背景特征,并将这些案件之犯罪现场迹证系统化处理,建构成数据库,有助警察侦办连续型犯罪。经由案件连结分析所得证据,能否成为法庭上论罪之依据,在英美国家必须通过＂Frye法则＂与＂Daubert测试法则＂检验,即是否已经通过科学性检验,或同一学术领域同侪认可验证过程。因此,后续研究可朝更精确统计分析方法迈进,以提升案件连结分析数据库对于预测未发现犯罪者之准确率及其法庭证据力。     

PCR扩增体系的体积减少对DNA分析的影响

目的探讨PCR扩增体系的体积减少对DNA分析的影响。方法4份样品采用ProfilerPlus试剂盒,在同样条件下,对50μl、25μl、12.5μl、6.25μl四种体积的体系进行扩增,扩增产物分别经ABIPRISMTM310型基因分析仪、ABIPRISMTM377型测序仪、ABIPRISMTM3100型基因分析仪电泳,并经GeneScan3.1基因扫描软件和Genotyper2.5分析软件分析得到实验结果。结果小体积的扩增体系容易出现等位基因的丢失、额外等位基因的产生等现象。结论在检材情况较差时,应该慎用小体积的扩增体系。     

Concordance study between the AmpFlSTR MiniFiler PCR amplification kit and conventional STR typing kits

The AmpFlSTR MiniFiler polymerase chain reaction amplification kit developed by Applied Biosystems enables size reduction on eight of the larger STR loci amplified in the Identifiler kit, which will aid recovery of information from highly degraded DNA samples. The MiniFiler Kit amplifies CSF1PO, FGA, D2S1338, D7S820, D13S317, D16S539, D18S51, and D21S11 as well as the sex-typing locus amelogenin. A total of 1308 samples were evaluated with both the MiniFiler and Identifiler STR kits: 449 African American, 445 Caucasian, 207 Hispanic, and 207 Asian individuals. Full concordance between Identifiler and MiniFiler Kits was observed in 99.7% (10,437 out of 10,464) STR allele calls compared. The 27 differences seen are listed in Table 1 and encompass the loci D13S317 (n = 14) and D16S539 (n = 10) as well as D18S51 (n = 1), D7S820 (n = 1), and CSF1PO (n = 1). Genotyping discrepancies between the Identifiler and MiniFiler kits were confirmed by reamplification of the samples and further testing using the PowerPlex 16 kit in many cases. DNA sequence analysis was also performed in order to understand the nature of the genetic variations causing the allele dropout or apparent repeat unit shift.