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Production of High- Fidelity Electropherograms Results in Improved and Consistent DNA interpretation Standardizing the forensic validation process

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This project's goal was to develop a validation scheme to aid in mitigating the effects of the loss of genetic information associated with sampling and detection effects.
Samples containing low-copy numbers of DNA are routinely encountered in casework. The signal acquired from these sample types can be difficult to interpret as they do not always contain all of the genotypic information from each contributor, where the loss of genetic information is associated with sampling and detection effects. The current study established a scheme designed to simultaneously improve signal resolution and detection rates without costly large-scale experimental validation studies by applying a combined simulation and experimental based approach. Specifically, it parameterized an in silico DNA pipeline with experimental data acquired from the laboratory and used this to evaluate multifarious scenarios in a cost-effective manner. Metrics such as signal1copy-to-noise resolution, false positive and false negative signal detection rates were used to select tenable laboratory parameters that result in high-fidelity signal in the single-copy regime. The project demonstrated that the metrics acquired from simulation are consistent with experimental data obtained from two capillary electrophoresis platforms and various injection parameters. Once good resolution is obtained, analytical thresholds can be determined, using detection error tradeoff analysis, if necessary. Decreasing the limit of detection of the forensic process to one copy of DNA is a powerful mechanism by which to increase the information content on minor components of a mixture, which is particularly important for probabilistic system inference. If the forensic pipeline is engineered such that high-fidelity electropherogram signal is obtained, then the likelihood ratio (LR) of a true contributor increases, and the probability that the LR of a randomly chosen person is greater than one decreases. This is potentially the first step toward standardization of the analytical pipeline across operational laboratories. (publisher abstract modified)
Date Created: January 28, 2021