Developmental validation of GlobalFiler™ PCR amplification kit: a 6-dye multiplex assay designed for amplification of casework samples

Ludeman, Matthew J.; Zhong, Chang; Mulero, Julio J.; Lagacé, Robert; Hennessy, Lori K.; Short, Marc L.; Wang, Dennis Y.

doi:10.1007/s00414-018-1817-5

Cited by 112 publications

(63 citation statements)

References 23 publications

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“…Most of the amplification kits listed are second or third generation identity testing kits that generally have increased sensitivity over earlier amplification kits even when differences in cycle number are considered. Modern amplification kits also have better resistance to inhibitors which enables results to be obtained from a variety of challenging evidence types (Kraemer et al, ; Ludeman et al, ; Oostdik et al, ). When the analysis of DNA from cartridges or casings is considered, higher success is typically correlated with a higher amount of extract added to the amplification reaction.…”

Section: Discussionmentioning

confidence: 99%

Obtaining DNA from ammunition: A review

Montpetit

2019

WIREs Forensic Science

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In the past 10 years, considerable progress has been made on the ability to obtain DNA from ammunition (unfired cartridges or the casings that remain after the firing process). Several groups have researched methods and processes to optimize the recovery of DNA from ammunition. A comprehensive review of published articles indicates that successful DNA testing of ammunition is possible using a variety of collection techniques, extraction methodologies, and amplification kits. This article is categorized under: Forensic Biology > Forensic DNA Technologies

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Section: Discussionmentioning

confidence: 99%

Obtaining DNA from ammunition: A review

Montpetit

2019

WIREs Forensic Science

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“…However, for sperm fractions, none of the three extraction methods provided significantly different total DNA yields when compared to each other ( Figure 1B, P ¼ 0.29). It should be noted that regardless of the statistical significance, all methods tested resulted in yields that were in excess of 75 ng, on average, which is well beyond what is needed to develop a full STR profile [28][29][30][31]. More importantly, when total human:male DNA ratios were evaluated for the sperm fractions, the automated QIAcube and manual organic methods were found to consistently result in ratios closer to the desired 1:1 than the samples processed using the manual QIAGEN method (mean ratios of 0.94:1 and 1.04:1 vs. 1.37:1, respectively) ( Figure 2).…”

Section: Resultsmentioning

confidence: 93%

Improved resolution of mixed STR profiles using a fully automated differential cell lysis/DNA extraction method

Goldstein

Cox

Seman

et al. 2019

Forensic Sciences Research

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Sexual assault evidence often contains sperm cells, which are typically separated from nonsperm cells using manual differential lysis procedures. The goal of this study was to evaluate the automated QIAGEN QIAcube for this purpose and to compare it to manual QIAGEN and manual organic differential methods using DNA yields and STR profile data for assessment. DNA yields were determined by qPCR, followed by multiplex STR amplification, CE analysis, and mixture interpretation. The automated method was capable of effective cell separation, producing DNA yields sufficient for STR amplification. Further, sperm fraction human:male DNA ratios from the QIAcube samples were consistently closer to the desired 1:1 and STR profiles were less likely to result in mixtures, with 6-8Â fewer female alleles detected (median 1.5 alleles). Ultimately, using the QIAcube for automated differential processing of semen-containing mixtures reduces the need for downstream mixture interpretation and improves STR profile quality with substantially less hands-on time.

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“…Forensic scientists sample from L = 10 to 25 autosomal STR loci from genetically independent locations across 22 chromosomes [18] . There are roughly (10 2 ) L = 10 2 L possible multi-locus genotype values.…”

Section: Methodsmentioning

confidence: 99%

Efficient construction of match strength distributions for uncertain multi-locus genotypes

Perlin

2018

Heliyon

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Natural variation in biological evidence leads to uncertain genotypes. Forensic comparison of a probabilistic genotype with a person's reference gives a numerical strength of DNA association. The distribution of match strength for all possible references usefully represents a genotype's potential information. But testing more genetic loci exponentially increases the number of multi-locus possibilities, making direct computation infeasible.At each locus, Bayesian probability can quickly assemble a match strength random variable. Multi-locus match strength is the sum of these independent variables. A multi-locus genotype's match strength distribution is efficiently constructed by convolving together the separate locus distributions. This convolution construction can accurately collate all trillion trillion reference outcomes in a fraction of a second.This paper shows how to rapidly construct multi-locus match strength distributions by convolution. Function convergence demonstrates that distribution accuracy increases with numerical resolution. Convolution construction has quadratic computational complexity, relative to the exponential number of reference genotypes. A suitably defined random variable reduces high-dimensional computational cost to fast real-line arithmetic.Match strength distributions are used in forensic validation studies. They provide error rates for match results. The convolution construction applies to discrete or continuous variables in the forensic, natural and social sciences. Computer-derived match strength distributions elicit the information inherent in DNA evidence, often overlooked by human analysis.

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Developmental validation of GlobalFiler™ PCR amplification kit: a 6-dye multiplex assay designed for amplification of casework samples

Cited by 112 publications

References 23 publications

Obtaining DNA from ammunition: A review

Obtaining DNA from ammunition: A review

Improved resolution of mixed STR profiles using a fully automated differential cell lysis/DNA extraction method

Efficient construction of match strength distributions for uncertain multi-locus genotypes

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