Biobanking, consent, and commercialization in international genetics research: the Type 1 Diabetes Genetics Consortium

Background and Purpose This article describes several ethical, legal, and social issues typical of international genetics biobanking, as encountered in the Type 1 Diabetes Genetics Consortium (T1DGC)

Bracketing off populations does not advance ethical reflection on EVCs: A reply to Kayser and Schneider

In a recent contribution to this journal, Kayser and Schneider reviewed the relevance of external visible characteristics (EVCs) for criminal investigation [1]. Their aim was to broaden the debate about the scientific, legal, and ethical dimensions of the use of EVCs for criminal investigation, which will help to achieve a firm legal basis for the application of EVCs eventually. While we applaud Kayser's and Schneider's overall very thoughtful and nuanced discussion of this topic, we were surprised to read that they suggest that a discussion of ‘the challenges of using problematic definitions of populations […] has to be kept separate from using EVCs’ (p. 158). In contrast to these authors, we contend that questions about defining populations – both at the level of scientific research, and the application of EVCs in criminal investigation – lie at the core of most social, ethical, and legal issues raised by the translation of EVCs into forensic and police practice

My-Forensic-Loci-queries (MyFLq) framework for analysis of forensic STR data generated by massive parallel sequencing

Forensic scientists are currently investigating how to transition from capillary electrophoresis (CE) to massive parallel sequencing (MPS) for analysis of forensic DNA profiles. MPS offers several advantages over CE such as virtually unlimited multiplexy of loci, combining both short tandem repeat (STR) and single nucleotide polymorphism (SNP) loci, small amplicons without constraints of size separation, more discrimination power, deep mixture resolution and sample multiplexing. We present our bioinformatic framework My-Forensic-Loci-queries (MyFLq) for analysis of MPS forensic data. For allele calling, the framework uses a MySQL reference allele database with automatically determined regions of interest (ROIs) by a generic maximal flanking algorithm which makes it possible to use any STR or SNP forensic locus. Python scripts were designed to automatically make allele calls starting from raw MPS data. We also present a method to assess the usefulness and overall performance of a forensic locus with respect to MPS, as well as methods to estimate whether an unknown allele, which sequence is not present in the MySQL database, is in fact a new allele or a sequencing error. The MyFLq framework was applied to an Illumina MiSeq dataset of a forensic Illumina amplicon library, generated from multilocus STR polymerase chain reaction (PCR) on both single contributor samples and multiple person DNA mixtures. Although the multilocus PCR was not yet optimized for MPS in terms of amplicon length or locus selection, the results show excellent results for most loci. The results show a high signal-to-noise ratio, correct allele calls, and a low limit of detection for minor DNA contributors in mixed DNA samples. Technically, forensic MPS affords great promise for routine implementation in forensic genomics. The method is also applicable to adjacent disciplines such as mitochondrial DNA research

Evaluation of Stem-Loop Reverse Transcription and Poly-A Tail Extension in MicroRNA Analysis of Body Fluids

MicroRNA has been demonstrated to be a viable tool for body fluid identification purposes in forensic casework. Stem-loop reverse transcription (slRT) is regularly used for cDNA synthesis from mature miRNA, along with poly-A tail extension. Both have been used in a forensic context, but no direct comparison has been carried out. It has also not been shown whether poly-A tail extension can be used upon DNA extracts, as previously shown with slRT. Blood and saliva samples were collected and underwent DNA extraction with or without on-column DNA digestion. All samples were then aliquoted and underwent slRT and poly-A tail extension separately. qPCR was then conducted targeting microRNA markers hsa-miR-451 and hsa-miR-205. It was shown that the DNA digestion step did not affect the ability to differentiate between blood and saliva. It was also shown that this differentiation was possible using poly-A tail extension, and that poly-A tail extension exhibited more amplification than slRT. So whilst the choice of slRT and poly-A tail extension for the purpose of forensic body fluid identification is not critical, it may be best to use poly-A tail extension, particularly where there are low traces of sample

Effect of multiple allelic drop-outs in forensic RMNE calculations

Technological advances such as massively parallel sequencing enable increasing amounts of genetic information to be obtained from increasingly challenging samples. Certainly on low template, degraded and multi-contributor samples, drop-outs will increase in number for many profiles simply by analyzing more loci, making it difficult to probabilistically assess how many drop-outs have occurred and at which loci they might have occurred. Previously we developed a Random Man Not Excluded (RMNE) method that can take into account allelic drop-out while avoiding detailed estimations of the probability that drop-outs have occurred, nor making assumptions about at which loci these drop-outs might have occurred. The number of alleles that have dropped out, does not need to be exactly known. Here we report a generic Python algorithm to calculate the RMNE probabilities for any given number of loci. The number of allowed drop-outs can be set between 0 and twice the number of analyzed loci. The source code has been made available on https://github.com/fvnieuwe/rmne. An online web-based RMNE calculation tool has been made available on http://forensic.ugent.be/rmne. The tool can calculate these RMNE probabilities from a custom list of probabilities of the observed and non-observed alleles from any given number of loci. Using this tool, we explored the effect of allowing allelic drop-outs on the evidential value of random forensic profiles with a varying number of loci. Our results give insight into how the number of allowed drop-outs affects the evidential value of a profile and how drop-out can be managed in the RMNE approach

Fast nuclear staining of head hair roots as a screening method for successful STR analysis in forensics

The success rate of STR profiling of hairs found at a crime scene is quite low and negative results of hair analysis are frequently reported. To increase the success rate of DNA analysis of hairs in forensics, nuclei in hair roots can be counted after staining the hair root with DAPI. Two staining methods were tested: a longer method with two 1 h incubations in respectively a DAPI-and a wash-solution, and a fast, direct staining of the hair root on microscope slides. The two staining methods were not significantly different. The results of the STR analysis for both procedures showed that 20 nuclei are necessary to obtain at least partial STR profiles. When more than 50 nuclei were counted, full STR profiles were always obtained. In 96% of the cases where no nuclei were detected, no STR profile could be obtained. However, 4% of the DAPI-negative hair roots resulted in at least partial STR profiles. Therefore, each forensic case has to be evaluated separately in function of the importance of the evidential value of the found hair. The fast staining method was applied in 36 forensic cases on 279 hairs in total. A fast screening method using DAPI can be used to increase the success rate of hair analysis in forensics

A response to “Likelihood ratio as weight of evidence: a closer look” by Lund and Iyer

Recently, Lund and Iyer (L&I) raised an argument regarding the use of likelihood ratios in court. In our view, their argument is based on a lack of understanding of the paradigm. L&I argue that the decision maker should not accept the expert’s likelihood ratio without further consideration. This is agreed by all parties. In normal practice, there is often considerable and proper exploration in court of the basis for any probabilistic statement. We conclude that L&I argue against a practice that does not exist and which no one advocates. Further we conclude that the most informative summary of evidential weight is the likelihood ratio. We state that this is the summary that should be presented to a court in every scientific assessment of evidential weight with supporting information about how it was constructed and on what it was based

Population genetic data for 17 Y STR markers from Benghazi (East Libya)

The seventeen Y-STR loci included in the AmpF‘STR1 YfilerTM PCR Amplification kit (DYS19, DYS389I,DYS389II, DYS390, DYS391, DYS392, DYS393, DYS385a/b, DYS438, DYS439, DYS437, DYS448, DYS458,DYS456, DYS635, and Y-GATA-H4) were used to type a sample population of 238 males from eastern Libya (Benghazi region). Of 238 observed haplotypes, 214 were unique (90%) and 24 (10%) were found more than once. The 17 loci gave a discriminating power of 0.999. DYS458 showed the highest diversity as a single-locus marker (0.73). Allelic frequencies and gene diversities for each Y-STR locus were determined. The high haplotype diversity and discrimination capacity (0.996) demonstrate the utility of these loci for human identification in forensic applications. Comparative analysis with Y-STR datasets of relevant populations and submission of the haplotypes to the Y-STR Haplotype Reference Database (YHRD) was undertaken

The examination of baseline noise and the impact on the interpretation of low-template DNA samples

It is common practice for DNA STR profiles to be analyzed using an analytical threshold (AT), but as more low template DNA (LT-DNA) samples are tested it has become evident that these thresholds do not adequately separate signal from noise. In order to confidently examine LT-DNA samples, the behavior and characteristics of the background noise of STR profiles must be better understood. Thus, the background noise of single source LT-DNA STR profiles were examined to characterize the noise distribution and determine how it changes with DNA template mass and injection time. Current noise models typically assume the noise is independent of fragment size but, given the tendency of the baseline noise to increase with template amount, it is important to establish whether the baseline noise is randomly found throughout the capillary electrophoresis (CE) run or whether it is situated in specific regions of the electropherogram. While it has been shown that the baseline noise of negative samples does not behave similarly to the baseline noise of profiles generated using optimal levels of DNA, the ATs determined using negative samples have shown to be similar to those developed with near-zero, low template mass samples. The distinction between low-template samples, where the noise is consistent regardless of target mass, and standard samples could be made at approximately 0.063 ng for samples amplified using the Identifiler^TM Plus amplification kit (29 cycle protocol), and injected for 5 and 10 seconds. At amplification target masses greater than 0.063 ng, the average noise peak height increased and began to plateau between 0.5 and 1.0 ng for samples injected for 5 and 10 seconds. To examine the time dependent nature of the baseline noise, the baselines of over 400 profiles were combined onto one axis for each target mass and each injection time. Areas of reproducibly higher noise peak heights were identified as areas of potential non-specific amplified product. When the samples were injected for five seconds, the baseline noise did not appear to be time dependent. However, when the samples were injected for either 10 or 20 seconds, there were three areas that exhibited an increase in noise; these areas were identified at 118 bases in green, 231 bases in yellow, and 106 bases in red. If a probabilistic analysis or AT is to be employed for DNA interpretation, consideration must be given as to how the validation or calibration samples are prepared. Ideally the validation data should include all the variation seen within typical samples. To this end, a study was performed to examine possible sources of variation in the baseline noise within the electropherogram. Specifically, three samples were prepared at seven target masses using four different kit lots, four capillary lots, in four amplification batches or four injection batches. The distribution of the noise peak heights in the blue and green channels for samples with variable capillary lots, amplifications, and injections were similar, but the distribution of the noise heights for samples with variable kit lots was shifted. This shift in the distribution of the samples with variable kit lots was due to the average peak height of the individual kit lots varying by approximately two. The yellow and red channels showed a general agreement between the distributions of the samples run with variable kit lots, amplifications, and injections, but the samples run with various capillary lots had a distribution shifted to the left. When the distribution of the noise height for each capillary was examined, the average peak height variation was less than two RFU between capillary lots. Use of a probabilistic method requires an accurate description of the distribution of the baseline noise. Three distributions were tested: Gaussian, log-normal, and Poisson. The Poisson distribution did not approximate the noise distributions well. The log-normal distribution was a better approximation than the Gaussian resulting in a smaller sum of the residuals squared. It was also shown that the distributions impacted the probability that a peak was noise; though how significant of an impact this difference makes on the final probability of an entire STR profile was not determined and may be of interest for future studies

DNA Typing Compatibility with a One Step Saliva Screening Test

Screening a substrate for bodily fluids is an extremely important step for locating areas that may contain DNA. Several different methods have been developed for saliva (1). The Phadebas® Forensic Press (PFP) test is a presumptive saliva test that utilizes a preloaded paper that will react with the enzyme amylase, a component of saliva (2-5). Because of its ability to screen for amylase while simultaneously locating stains, the PFP may prove to be an effective, rapid method for screening. However it is important to assess whether the PFP introduces any inhibitors (7) to downstream processing such as PCR amplification. Based on previous studies, we hypothesize that the PFP will provide a rapid and sensitive method for locating multiple saliva stains simultaneously, without introducing inhibitors to DNA profiling. To test the limitations of PFP as well as evaluated its effects on DNA profiling we first created a dilution series of saliva ranging from neat to 1:5000. After this we preformed sensitivity tests on an indirect method, UV degraded samples and washed samples as well as with bodily fluid mixtures. Once all sensitivity tests were done, cuttings were taken from the substrate and PFP paper and analyzed for DNA. Tests found that the sensitivity ranges of the PFP were between 1:10 and 1:1000, indirect tests were less sensitive than direct, all bodily fluid mixtures were detected, and UV degraded samples took more time to react. In addition our DNA results confirmed our hypothesis that PFP does not inhibit DNA and is a useful method for locating stains. This project was funded by NSFREU Grant DBI 1262832