A review of DNA profiling success for laser microdissected forensic casework samples

ABSTRACT

Laser microdissection (LMD) is a tool that is used in forensic laboratories for the analysis of DNA from specifically targeted cells. Since 2010, the Institute of Environmental Science and Research Limited’s (ESR) Forensic Biology laboratory has applied LMD DNA testing to a variety of sexual assault casework samples where small numbers of sperm are present in cell mixtures. In this paper we review the DNA profiling results obtained from semen-stained casework samples that have been analysed using the LMD DNA methodology developed in our laboratory. Dissected sperm have been analysed using the AmpFISTR Identifiler amplification kit at 28 cycle PCR, the AmpFISTR MiniFiler amplification kit at 30 cycle PCR, or the AmpFISTR SGM Plus amplification kit at 34 cycle PCR, depending on the number of sperm recovered and on consideration of other circumstantial case information, such as the time since intercourse (TSI). From a review of these data, success rates for different sample numbers of sperm recovered from semen-stained samples are determined. The DNA profiling results obtained from three cases where laser microdissection has been used are also presented to demonstrate the success of the LMD testing strategy in a forensic laboratory.     

Leading-edge forensic DNA analyses and the necessity of including crime scene investigators,police officers and technicians in a DNA elimination database

In recent years, sophisticated technology has significantly increased the sensitivity and analytical power of genetic analyses so that very little starting material may now produce viable genetic profiles. This sensitivity however, has also increased the risk of detecting unknown genetic profiles assumed to be that of the perpetrator, yet originate from extraneous sources such as from crime scene workers. These contaminants may mislead investigations, keeping criminal cases active and unresolved for long spans of time. Voluntary submission of DNA samples from crime scene workers is fairly low, therefore we have created a promotional method for our staff elimination database that has resulted in a significant increase in voluntary samples since 2011. Our database enforces privacy safeguards and allows for optional anonymity to all staff members. We also offer information sessions at various police precincts to advise crime scene workers of the importance and success of our staff elimination database. This study, a pioneer in its field, has obtained 327 voluntary submissions from crime scene workers to date, of which 46 individual profiles (14%) have been matched to 58 criminal cases. By implementing our methods and respect for individual privacy, forensic laboratories everywhere may see similar growth and success in explaining unidentified genetic profiles in stagnate criminal cases.     

A nomenclature for sequence-based forensic DNA analysis

Forensic DNA analysis of casework samples using massively parallel sequencing (MPS) technology requires a system of nomenclature for uniquely labeling sequence-based alleles and artifacts. The DNA Commission of the ISFG has published considerations concerning a nomenclature format that addresses the requirement for unique labeling of sequences. Nomenclatures based on this format can be used in databasing, or communicating sequence types, but the format is lengthy for software interfaces. The sequence identifier (SID) nomenclature addresses this gap by generating short labels able to uniquely identify all sequences (allelic and artifactual) in single-source or casework profiles. Sequences in casework profiles can be uniquely labeled with only two or three SID characters, making the format compact. SID labels can be used in algorithms for identifying and filtering artifacts, and for expressing associations between artifacts and their likely parent alleles. The nomenclature is suitable for use in downstream mixture analysis by any software able to accept character values rather than numeral values. The SID nomenclature is described, and its ability to discriminate sequence-based alleles and artifacts is demonstrated, and its applicability to forensic mixture analysis is demonstrated.     

AQME: A forensic mitochondrial DNA analysis tool for next-generation sequencing data

The feasibility of generating mitochondrial DNA (mtDNA) data has expanded considerably with the advent of next-generation sequencing (NGS), specifically in the generation of entire mtDNA genome (mitogenome) sequences. However, the analysis of these data has emerged as the greatest challenge to implementation in forensics. To address this need, a custom toolkit for use in the CLC Genomics Workbench (QIAGEN, Hilden, Germany) was developed through a collaborative effort between the Armed Forces Medical Examiner System − Armed Forces DNA Identification Laboratory (AFMES-AFDIL) and QIAGEN Bioinformatics. The AFDIL-QIAGEN mtDNA Expert, or AQME, generates an editable mtDNA profile that employs forensic conventions and includes the interpretation range required for mtDNA data reporting. AQME also integrates an mtDNA haplogroup estimate into the analysis workflow, which provides the analyst with phylogenetic nomenclature guidance and a profile quality check without the use of an external tool. Supplemental AQME outputs such as nucleotide-per-position metrics, configurable export files, and an audit trail are produced to assist the analyst during review. AQME is applied to standard CLC outputs and thus can be incorporated into any mtDNA bioinformatics pipeline within CLC regardless of sample type, library preparation or NGS platform.An evaluation of AQME was performed to demonstrate its functionality and reliability for the analysis of mitogenome NGS data. The study analyzed Illumina mitogenome data from 21 samples (including associated controls) of varying quality and sample preparations with the AQME toolkit. A total of 211 tool edits were automatically applied to 130 of the 698 total variants reported in an effort to adhere to forensic nomenclature. Although additional manual edits were required for three samples, supplemental tools such as mtDNA haplogroup estimation assisted in identifying and guiding these necessary modifications to the AQME-generated profile. Along with profile generation, AQME reported accurate haplogroups for 18 of the 19 samples analyzed. The single errant haplogroup assignment, although phylogenetically close, identified a bug that only affects partial mitogenome data. Future adjustments to AQME’s haplogrouping tool will address this bug as well as enhance the overall scoring strategy to better refine and automate haplogroup assignments. As NGS enables broader use of the mtDNA locus in forensics, the availability of AQME and other forensic-focused mtDNA analysis tools will ease the transition and further support mitogenome analysis within routine casework. Toward this end, the AFMES-AFDIL has utilized the AQME toolbox in conjunction with the CLC Genomics Workbench to successfully validate and implement two NGS mitogenome methods.     

Population data for 101 Austrian Caucasian mitochondrial DNA d-loop sequences: Application of mtDNA sequence analysis to a forensic case

The sequence of the two hypervariable segments of the mitochondrial DNA (mtDNA) control region was generated for 101 random Austrian Caucasians. A total of 86 different mtDNA sequences was observed, where 11 sequences were shared by more than 1 individual, 7 sequences were shared by 2 individuals and 4 sequences were shared by 3 individuals. One of the four most common mtDNA sequences in Austrians is also the most common sequence in both U.S. and British Caucasians, found in approximately 3.0% of Austrians, 4.0% of British, and 3.9% of U.S. Caucasians. Of the remaining three common Austrian sequences, one was not observed in either U.S. or British Caucasians. However, three British Caucasians exhibited a similar sequence type. Therefore, this particular cluster of sequence polymorphisms may represent a common “European” mtDNA sequence type. In general, Austrian Caucasians show little deviation from other Caucasian databases of European descent. Finally, mtDNA sequence analysis was applied to a forensic case, where hairs found at a crime scene matched the control hairs from the suspect. Received: 30 June 1997 / Received in revised form: 12 November 1997     

Comparison of DNA polymerases for improved forensic analysis of challenging samples

Inhibitors of polymerase chain reaction (PCR) amplification often present a challenge in forensic investigations of e.g., terrorism, missing persons, sexual assaults and other criminal cases. Such inhibitors may be counteracted by dilution of the DNA extract, using different additives, and selecting an inhibitory resistant DNA polymerase. Additionally, DNA in forensic samples is often present in limited amounts and degraded, requiring special analyses of short nuclear targets or mitochondrial DNA. The present study evaluated the enzymes AmpliTaq Gold, HotStarTaq Plus, KAPA3G Plant, and KAPA2G Robust, with regard to their ability to overcome inhibitory effects. Our data showed that diluting the extracts and adding bovine serum albumin may increase the yield of the PCR product. However, the largest impact was observed when alternative enzymes were utilized, instead of the commonly used AmpliTaq Gold. KAPA2G Robust presented the highest amplification efficiency in the presence of the inhibitor ammonium nitrate. Moreover, the KAPA3G Plant enzyme had the highest efficiency in amplifying degraded DNA from old buried bone material. KAPA3G Plant and KAPA2G Robust may thus be useful for counteracting inhibitors and improving the analysis of challenging samples.     

A forensic case study for body fluid identification using DNA methylation analysis

Recently, a method of identifying body fluids using DNA methylation has been developed (Frumkin et al., 2011). An existing multiplex assay using 9 CpG markers could differentiate 5 body fluids: semen, blood, saliva, menstrual blood, and vaginal fluid. To validate this technique, we evaluated the previously described body fluid identification method by means of single base extension (SBE). DNA methylation was applied to 22 samples in 18 forensic cases; seven of these were semen, three were blood, eight were saliva, three were vaginal fluid, and one was menstrual blood. Total of 18 samples were tested, the DNA methylation profiles were coincident from preliminary tests (acid phosphatase (AP), leucomalachite green (LMG, Sigma Aldrich, St Louis, MO, USA) and SALIgAE®) except one sample which displayed an all-negative result. After applying the DNA methylation method to forensic samples, we determined that it could be very useful for differentiating vaginal secretions from menstrual blood, for which there is no conventional preliminary testing method.     

Robust detection of individual forensic profiles in DNA mixtures

For a forensic identification method to be admissible in international courts, the probability of false match must be quantified. For comparison of individuals against complex mixtures using a panel of single nucleotide polymorphisms (SNPs), the probability of a random man not excluded, P(RMNE) is one admissible standard. While the P(RMNE) of SNP alleles has been previously studied, it remains to be rigorously defined and calculated for experimentally genotyped mixtures. In this report, exact P(RMNE) values were calculated for a range of complex mixtures, verified with Monte Carlo simulations, and compared alongside experimentally determined detection probabilities.     

Validation of mitochondrial DNA sequencing for forensic casework analysis

Two sets of studies were performed to evaluate the forensic utility of sequencing human mitochondrial DNA (mtDNA) derived from various tissues and amplified by the polymerase chain reaction (PCR). Sequencing was performed on a Perkin-Elmer/Applied Biosystems Division (PE/ABD) automated DNA sequencer (model 373A). The first set of experiments included typical validation studies that had previously been conducted on forensic DNA markers, such as: chemical contaminant effects on DNA from blood and semen and the effect of typing DNA extracted from body fluid samples deposited on various substrates. A second set of experiments was performed strictly on human hair shafts. These studies included typing mtDNA from hairs that were: (1) from different body areas, (2) chemically treated, (3) from deceased individuals, and (4) deliberately contaminated with various body fluids. The data confirm that PCR-based mtDNA typing by direct automated sequencing is a valid and reliable means of forensic identification.     

Maximizing intelligence obtained from higher-order DNA mixtures from volume crime samples

ABSTRACT

This work collates data from the analysis of complex mixtures analysed in STRmix during routine no-suspect volume crime work. It interrogates the upload rate for these types of mixtures and which component of the profile has been able to be interpreted for upload. The number of profiles giving multiple uploads and the amount of replicate PCR analysis has been collated.     

Development of a novel microarray data analysis tool without normalization for genotyping degraded forensic DNA

Since the arrest of the Golden State Killer in the US in April 2018, forensic geneticists have been increasingly interested in the investigative genetic genealogy (IGG) method. While this method has already been in practical use as a powerful tool for criminal investigation, we have yet to know well the limitations and potential risks. In this current study, we performed an evaluation study focusing on degraded DNA using the Affymetrix Genome-Wide Human SNP Array 6.0 platform (Thermo Fisher Scientific). We revealed one of the potential problems that occur during SNP genotype determination using a microarray-based platform. Our analysis results indicated that the SNP profiles derived from degraded DNA contained many false heterozygous SNPs. In addition, it was confirmed that the total amount of probe signal intensity on microarray chips derived from degraded DNA decreased significantly. Because the conventional analysis algorithm performs normalization during genotype determination, we concluded that noise signals could be genotype-called. To address this issue, we proposed a novel microarray data analysis method without normalization (nMAP). Although the nMAP algorithm resulted in a low call rate, it substantially improved genotyping accuracy. Finally, we confirmed the usefulness of the nMAP algorithm for kinship inferences. These findings and the nMAP algorithm will make a contribution to the advance of the IGG method.     

A new pentaplex PCR system for forensic casework analysis

In 1998 the Federal Criminal Police Office of Germany (BKA) established a central genetic database of offenders and suspects to facilitate comparisons with biological samples from future criminal offences. The five obligatory short tandem repeat (STR) loci in this database (TH01, SE33, vWA, FGA and D21S11) were co-amplified in a new PCR pentaplex analysing system together with the sex-specific locus amelogenin. Due to overlapping fragment sizes, amplification products were fluorescent dye-labelled with different colours, separated by electrophoresis and detected directly using the ABI PRISM 310 Genetic Analyzer. Reproducible and reliable results were obtained from as low as 125 pg template DNA, indicating high specificity and sensitivity of the assay. Environmental studies and enzymatic digest with DNase I revealed an excellent stability of the pentaplex system with typeable results even in cases of partially degraded DNA. Complete and reproducible DNA typing was possible in bloodstain mixtures with the minor component as low as 10%. Mean stutter peak intensities were analysed for all loci and ranged from 2.7 ± 0.8% (TH01) to 10.6 ± 1.6% (vWA) of the main signal intensity. Allele frequencies were determined in a North Bavarian population sample (n = 121). The combination of five systems resulted in a mean exclusion chance of 99.86% and a power of discrimination of 99.999996%. No deviation from Hardy-Weinberg equilibrium could be found. Received: 13 December 1999 / Accepted: 12 April 2000     

The development of forensic DNA analysis: New debates on the issue of fundamental human rights

Before the advent of forensic DNA profiling, forensic techniques such as fingerprint examination and blood type comparison were used in the identification of suspects. DNA profiling has since become the gold standard of forensic science, and forensic DNA analysis techniques continue to evolve. Recent developments such as familial searching and phenotyping have raised ethical questions and concerns reflecting those expressed in the late 1980s when forensic DNA analysis was first introduced. At that time, attempts to use DNA evidence in criminal trials were met with challenges to its evidential value and admissibility. A common concern was whether the probative value of the evidence would outweigh its potentially prejudicial effect. This gave rise to a complex three-way debate, which revolved around first, the admissibility of the scientific principles in criminal courts; second, the scientific process involved in analysing DNA samples; and third, the impact that forensic DNA analysis may have on fundamental human rights. Ultimately, debates about the scientific process and the admissibility of such evidence in criminal trials overshadowed the debate about potential infringements of fundamental human rights. This resulted in a lack of critical discussion around the erosion of civil liberties through the use of scientific technologies. This paper revisits the early debates on the development of forensic DNA analysis. It draws parallels with current developments and analyses the potential for current and future human rights infringements, highlighting that the libertarian model offers a necessary counterbalance to the other arguments, due to its concern for maintaining fundamental rights.     

Error rates in forensic DNA analysis: Definition,numbers, impact and communication

Forensic DNA casework is currently regarded as one of the most important types of forensic evidence, and important decisions in intelligence and justice are based on it. However, errors occasionally occur and may have very serious consequences. In other domains, error rates have been defined and published. The forensic domain is lagging behind concerning this transparency for various reasons.In this paper we provide definitions and observed frequencies for different types of errors at the Human Biological Traces Department of the Netherlands Forensic Institute (NFI) over the years 2008–2012. Furthermore, we assess their actual and potential impact and describe how the NFI deals with the communication of these numbers to the legal justice system.We conclude that the observed relative frequency of quality failures is comparable to studies from clinical laboratories and genetic testing centres. Furthermore, this frequency is constant over the five-year study period. The most common causes of failures related to the laboratory process were contamination and human error. Most human errors could be corrected, whereas gross contamination in crime samples often resulted in irreversible consequences. Hence this type of contamination is identified as the most significant source of error. Of the known contamination incidents, most were detected by the NFI quality control system before the report was issued to the authorities, and thus did not lead to flawed decisions like false convictions. However in a very limited number of cases crucial errors were detected after the report was issued, sometimes with severe consequences. Many of these errors were made in the post-analytical phase.The error rates reported in this paper are useful for quality improvement and benchmarking, and contribute to an open research culture that promotes public trust. However, they are irrelevant in the context of a particular case. Here case-specific probabilities of undetected errors are needed. These should be reported, separately from the match probability, when requested by the court or when there are internal or external indications for error. It should also be made clear that there are various other issues to consider, like DNA transfer. Forensic statistical models, in particular Bayesian networks, may be useful to take the various uncertainties into account and demonstrate their effects on the evidential value of the forensic DNA results.     

Pitfalls in the analysis of mitochondrial DNA from ancient specimens and the consequences for forensic DNA analysis: the historical case of the putative heart of Louis XVII

Amplification of mtDNA D-loop fragments with a length of 200 bp or more from ancient and even from fairly recent biological samples, can lead to erroneous results. This was clearly illustrated in our investigation of the putative heart of Louis XVII. By selecting different sets of primers which amplified shorter fragments of mtDNA (length 109 bp-201 bp), authentic polymorphisms could be visualised which remained undetected with the more classical primers for fragment sizes > 210 bp. Here we have extended those findings to other biological materials. A competitive PCR assay for quantitation of the amount of mtDNA for different fragment lengths, using a 10 bp deletion construct, was applied to ancient material and on a set of hairs of various ages of sampling (1966 up to the present). The results showed that DNA degradation started a few years after sampling. In the DNA extracts of the older hair shafts (1983-1995), the proportion of the number of short fragments to the number of long fragments is on average 4 in contrast to the most recent hair shafts. The numbers of amplifiable mtDNA copies for the hairs from 1975 and older were too small to show a clear difference. Use of long PCR fragments in such cases can yield misleading results. Use of short PCR fragments for the analysis of mtDNA from shed hair, in combination with a competitive PCR assay to determine the state of degradation, should improve the reliability of forensic mtDNA analysis considerably.     

A manual and automated method for the forensic analysis of DNA from buccal samples on Whatman Indicating FTA Elute Cards

An optimised method for elution of DNA from FTA Elute Cards for both manual and automated processing on Hamilton Nimbus liquid handling robots is described. Variations to the manufacturers' recommended protocol including elution reagent, incubation time and the number of sample card punches were investigated. TE Buffer was the preferred elution and storage medium for the DNA extracts. The addition of 10% proteinase K (1 mg/ml) was shown to significantly improve DNA yields. Incubation time was minimised with no adverse affect on the quality of the DNA profile achieved, reducing the overall processing time. This simplified and automated extraction method has contributed to a significant decrease in rework rate, and facilitated improved turnaround times for sample processing within the New Zealand National DNA Databank.     

Electronic crime investigations in a virtualised environment: a forensic process and prototype for evidence collection and analysis

The constant evolution of virtualisation technologies and the availability of anti-forensic techniques and tools complicate efforts by forensic investigators to investigate a crime or a cyber security incident. Forensic collection can be complicated and requires significant efforts to investigate incidents involving contemporary technologies (e.g. crime launched from a virtual machine and there had been attempts to erase evidence after the incident). This paper presents a forensic process to collect and analyse traces of a virtual machine and its corresponding manager, recorded across multiple sources including the file system, Windows registry, history, and log files from a forensic viewpoint. To demonstrate utility of the forensic mechanism, the Virtual Machine Forensic Artefact Collector (VMFAC) prototype is developed and presented in this paper.     

Age-related DNA methylation analysis for forensic age estimation using post-mortem blood samples from Japanese individuals

As one of external visible characteristics (EVCs) in forensic phenotyping, age estimation is essential to providing additional information about a sample donor. With the development of epigenetics, age-related DNA methylation may be used as a reliable predictor of age estimation. With the aim of building a feasible age estimation model for Japanese individuals, 53 CpG sites distributed between 11 candidate genes were selected from previous studies. The DNA methylation level of each target CpG site was identified and measured on a massive parallel platform (synthesis by sequencing, Illumina, California, United States) from 60 forensic blood samples during the initial training phase. Multiple linear regression and quantile regression analyses were later performed to build linear and quantile age estimation models, respectively. Four CpG sites on four genes— ASPA, ELOVL2, ITGA2B, and PDE4C —, were found to be highly correlated with chronological age in DNA samples from Japanese individuals (|R| > 0.75). Subsequently, an independent validation dataset (n = 30) was used to verify and evaluate the performance of the two models. Comparison of mean absolute deviation (MAD) with other indicators showed that both models provide accurate age predictions (MAD: linear = 6.493 years; quantile = 6.243 years). The quantile model, however, can provide the changeable prediction intervals that grow wider with increasing age, and this tendency is consistent with the natural aging process in humans. Hence, the quantile model is recommended in this study.     

LINE-1 DNA methylation: A potential forensic marker for discriminating monozygotic twins

Discriminating individuals within a pair of monozygotic (MZ) twins using genetic markers remains unresolved. This inability causes problems in criminal or paternity cases involving MZ twins as suspects or alleged fathers. Our previous study showed DNA methylation differences in interspersed repeat sequences such as Alu and LINE-1 within pairs of newborn MZ twins. To further evaluate the possible value of LINE-1 DNA methylation for discriminating MZ twins, this study investigated the LINE-1 DNA methylation of a large number of twins. We collected blood samples and buccal cell samples from 119 pairs of MZ and 57 pairs of dizygotic (DZ) twins. Genomic DNA was extracted and LINE-1 methylation level was detected using bisulfite pyrosequencing. The mean methylation level of the three CpG sites in the blood sample among the 176 unrelated individuals was 76.60% and 70.08% in buccal samples. This difference was significant, indicating the tissue specificity of LINE-1 DNA methylation. Among 119 pairs of MZ twins, 15 pairs could be discriminated according to the difference of CpG methylation level between them, which accounted for 12.61% of total number of MZ pairs. As for DZ twins, 10 pairs had significant differences between two individuals, which accounted for 17.54% of the total 57 DZ pairs. In conclusion, there are global DNA methylation differences within some healthy concordant monozygotic (MZ) twin pairs. LINE-1 DNA methylation might be a potential marker for helping to discriminate individuals within MZ twin pairs, and the tissue specificity must be considered in practice.