Encoding of low-quality DNA profiles as genotype probability matrices for improved profile comparisons, relatedness evaluation and database searches. (November 2016)

• Record Type: Journal Article
• Authors: Ryan, K.; Williams, D. Gareth; Balding, David J.
• Is Part Of: Forensic science international. Volume 25(2016:Nov.)
• Page Start: 227
• Page End: 239
• Publication Date: 2016-11
• Subjects: DNA profile -- Low-template -- Likelihood ratio -- Identification -- Relatedness -- Weight of evidence -- Software -- Deconvolution -- Genotype probability matrix; Forensic genetics -- Periodicals; Génétique légale -- Périodiques; Forensic genetics; Electronic journals; Periodicals; 614.1
• DOI: 10.1016/j.fsigen.2016.09.004
• Languages: English
• ISSNs: 1872-4973

Abstract

Highlights: Complex DNA profiles encoded as probability distributions for the genotypes of one or more contributors. Formulas for calculating likelihood ratios for comparisons of genotype probability matrices. Compare a reference profile with a complex profile or two complex profiles. Database searches performed rapidly with uncertain genotypes both as query and included in the database. Open-source software available. Abstract: Many DNA profiles recovered from crime scene samples are of a quality that does not allow them to be searched against, nor entered into, databases. We propose a method for the comparison of profiles arising from two DNA samples, one or both of which can have multiple donors and be affected by low DNA template or degraded DNA. We compute likelihood ratios to evaluate the hypothesis that the two samples have a common DNA donor, and hypotheses specifying the relatedness of two donors. Our method uses a probability distribution for the genotype of the donor of interest in each sample. This distribution can be obtained from a statistical model, or we can exploit the ability of trained human experts to assess genotype probabilities, thus extracting much information that would be discarded by standard interpretation rules. Our method is compatible with established methods in simple settings, but is more widely applicable and can make better use of information than many current methods for the analysis of mixed-source, low-template DNA profiles. It can accommodate uncertainty arising from relatedness instead of or in addition to uncertainty arising from noisy genotyping. We describe a computer program GPMDNA, available under an open source licence, to calculate LRs using the method presented in this paper.