| Literature DB >> 32810675 |
Abstract
Many methods have been proposed to estimate Y-STR haplotype probabilities in a population, but no consensus has been achieved. In this paper a consistency principle for statistical models to provide such probabilities is proposed, in which it is required that the probability of a given haplotype profile on n loci cannot exceed that of any sub-haplotype matching on any n - 1 or fewer loci. If this consistency principle is violated by a Y haplotype probability model, then it could render the presentation of such probabilities highly problematic in a courtroom setting. We show, using publicly available datasets and two recently proposed graphical models for estimating probabilities of Y-STR haplotypes for illustration, that such violations can occur, and that the violations can in some instances be quite large. Some implications of this are discussed.Keywords: Bayesian network; Chow-Liu tree; Consistency principle; Haplotype probability; T-cherry tree model; Y STR haplotype
Mesh:
Year: 2020 PMID: 32810675 DOI: 10.1016/j.fsigen.2020.102365
Source DB: PubMed Journal: Forensic Sci Int Genet ISSN: 1872-4973 Impact factor: 4.882