title: Inferring the number of contributors to mixed DNA profiles.
abstract: Forensic samples containing DNA from two or more individuals can be difficult to interpret. Even ascertaining the number of contributors to the sample can be challenging. These uncertainties can dramatically reduce the statistical weight attached to evidentiary samples. A probabilistic mixture algorithm that takes into account not just the number and magnitude of the alleles at a locus, but also their frequency of occurrence allows the determination of likelihood ratios of different hypotheses concerning the number of contributors to a specific mixture. This probabilistic mixture algorithm can compute the probability of the alleles in a sample being present in a 2-person mixture, 3-person mixture, etc. The ratio of any two of these probabilities then constitutes a likelihood ratio pertaining to the number of contributors to such a mixture.
authors.affiliation: Pennsylvania State University Beaver, Monaca.
authors.forename: David R
authors.initials: DR
authors.lastname: Paoletti
authors.forename: Dan E
authors.initials: DE
authors.lastname: Krane
authors.forename: Michael L
authors.initials: ML
authors.lastname: Raymer
authors.forename: Travis E
authors.initials: TE
authors.lastname: Doom
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D004247:DNA / Q000737:chemistry* / Q000145:classification; D053803:Forensic Genetics / Q000379:methods; D006801:Humans; D015233:Models, Statistical; D017422:Sequence Analysis, DNA
chemical_list: D004247:DNA