Automation and developmental validation of the ForenSeq DNA Signature Preparation kit for high-throughput analysis in forensic laboratories.

Massively parallel sequencing (MPS) applications in forensic science highlight the advantages of this technique compared to capillary electrophoresis (CE). The multiplexing of a wide range of genetic markers and access to the full amplicon sequence, allowing the detection of isoalleles, make it a very promising tool which could be applied to the most challenging casework DNA samples. However, the complexity of the manual library preparation protocol, potential DNA contamination and sample tracking issues are the main reasons why forensic scientists still hesitate to implement MPS analytical workflows in their laboratory.

[The future of forensic DNA analysis for criminal justice].

In the criminal framework, the analysis of approximately 20 DNA microsatellites enables the establishment of a genetic profile with a high statistical power of discrimination. This technique gives us the possibility to establish or exclude a match between a biological trace detected at a crime scene and a suspect whose DNA was collected via an oral swab. However, conventional techniques do tend to complexify the interpretation of complex DNA samples, such as degraded DNA and mixture DNA.

Validation of SmartRank: A likelihood ratio software for searching national DNA databases with complex DNA profiles.

Searching a national DNA database with complex and incomplete profiles usually yields very large numbers of possible matches that can present many candidate suspects to be further investigated by the forensic scientist and/or police. Current practice in most forensic laboratories consists of ordering these 'hits' based on the number of matching alleles with the searched profile. Thus, candidate profiles that share the same number of matching alleles are not differentiated and due to the lack of other ranking criteria for the candidate list it may be difficult to discern a true match from the false positives or notice that all candidates are in fact false positives.

Analysis of positive control STR experiments reveals that results obtained for FGA, D3S1358, and D13S317 condition the success rate of the analysis of routine reference samples.

About 120,000 reference samples are analyzed each year in the Forensic Laboratory of Lyon. A total of 1640 positive control experiments used to validate and optimize the analytical method in the routine process were submitted to a multivariate exploratory data analysis approach with the aim of better understanding the underlying sources of variability. The peak heights of the 16 genetic markers targeted by the AmpFℓSTR(®) Identifiler(®) STR kit were used as variables of interest.

Estimating the number of contributors to forensic DNA mixtures: does maximum likelihood perform better than maximum allele count?

Determining the number of contributors to a forensic DNA mixture using maximum allele count is a common practice in many forensic laboratories. In this paper, we compare this method to a maximum likelihood estimator, previously proposed by Egeland et al., that we extend to the cases of multiallelic loci and population subdivision.