title: TrueAllele(®) Genotype Identification on DNA Mixtures Containing up to Five Unknown Contributors.
abstract: Computer methods have been developed for mathematically interpreting mixed and low-template DNA. The genotype modeling approach computationally separates out the contributors to a mixture, with uncertainty represented through probability. Comparison of inferred genotypes calculates a likelihood ratio (LR), which measures identification information. This study statistically examined the genotype modeling performance of Cybergenetics TrueAllele(®) computer system. High- and low-template DNA mixtures of known randomized composition containing 2, 3, 4, and 5 contributors were tested. Sensitivity, specificity, and reproducibility were established through LR quantification in each of these eight groups. Covariance analysis found LR behavior to be relatively invariant to DNA amount or contributor number. Analysis of variance found that consistent solutions were produced, once a sufficient number of contributors were considered. This study demonstrates the reliability of TrueAllele interpretation on complex DNA mixtures of representative casework composition. The results can help predict an information outcome for a DNA mixture analysis.
authors.affiliation: Cybergenetics, 160 North Craig Street, Suite 210, Pittsburgh, PA, 15213.
authors.forename: Mark W
authors.initials: MW
authors.lastname: Perlin
authors.affiliation: Cybergenetics, 160 North Craig Street, Suite 210, Pittsburgh, PA, 15213.
authors.forename: Jennifer M
authors.initials: JM
authors.lastname: Hornyak
authors.affiliation: Kern Regional Crime Laboratory, 1215 Truxton Avenue, Bakersfield, CA, 93301.
authors.forename: Garett
authors.initials: G
authors.lastname: Sugimoto
authors.affiliation: Kern Regional Crime Laboratory, 1215 Truxton Avenue, Bakersfield, CA, 93301.
authors.forename: Kevin W P
authors.initials: KW
authors.lastname: Miller
mesh_terms: D003198:Computer Simulation; D004247:DNA / Q000235:genetics*; D016172:DNA Fingerprinting / Q000379:methods*; D053803:Forensic Genetics; D005838:Genotype; D006801:Humans; D016013:Likelihood Functions; D018895:Microsatellite Repeats; D015233:Models, Statistical; D015203:Reproducibility of Results; D012984:Software
chemical_list: D004247:DNA
keywords: DNA mixture; forensic science; genotype modeling; likelihood ratio; probabilistic genotyping; validation study