A tale of two PG systems: A comparison of the two most widely used continuous probabilistic genotyping systems in the United States.

The development of probabilistic genotyping (PG) systems to quantitatively analyze DNA mixture samples has been transformative in forensic science. TrueAllele® Casework (TA) and STRmix™ (STRmix) are the two most widely used PG systems in the United States. The two systems were challenged with 48 two-, three-, and four-person mock casework samples, for a total of 152 likelihood ratio (LR) comparisons.

Use of hormone-specific antibody probes for differential labeling of contributor cell populations in trace DNA mixtures.

A significant proportion of casework analyzed by forensic science laboratories is often "touch" or trace forensic DNA evidence, which is deposited through physical contact and is comprised of sloughed epidermal cells. These samples can be challenging to analyze due to low DNA concentrations, frequent degradation, and the presence of cells from multiple individuals in the same sample. To address these challenges, we investigated a new approach for characterizing trace evidence prior to DNA profiling that labels epidermal cells with antibody probes targeting hormone molecules testosterone and dihydrotestosterone (DHT).

Simplification of complex DNA profiles using front end cell separation and probabilistic modeling.

Forensic samples comprised of cell populations from multiple contributors often yield DNA profiles that can be extremely challenging to interpret. This frequently results in decreased statistical strength of an individual's association to the mixture and the loss of probative data. The purpose of this study was to test a front-end cell separation workflow on complex mixtures containing as many as five contributors.

Analysis of cellular autofluorescence in touch samples by flow cytometry: implications for front end separation of trace mixture evidence.

The goal of this study was to survey optical and biochemical variation in cell populations deposited onto a surface through touch or contact and identify specific features that may be used to distinguish and then sort cell populations from separate contributors in a trace biological mixture. Although we were not able to detect meaningful biochemical variation in touch samples deposited by different contributors through preliminary antibody surveys, we did observe distinct differences in red autofluorescence emissions (650-670 nm), with as much as a tenfold difference in mean fluorescence intensities observed between certain pairs of donors. Results indicate that the level of red autofluorescence in touch samples can be influenced by a donor's contact with specific material prior to handling the substrate from which cells were collected.

Establishing the Limits of TrueAllele® Casework: A Validation Study.

The limits of the expert system, TrueAllele® Casework (TA), were explored using challenging mock casework profiles that included 17 single-source and 18 two-, 15 three- and 7 four-person DNA mixtures. The sensitivity (ability to detect a minor contributor) of the TA analysis process was examined by challenging the system with mixture DNA samples that exhibited allelic and locus dropout and other stochastic effects. The specificity (ability to exclude nondonors) was rigorously tested by interrogating TA derived genotypes with 100 nondonor profiles.