Modelling the dependence structure of Y-STR haplotypes using graphical models

Mikkel Meyer Andersen, James Curran, Jacob de Zoete, Duncan Taylor, John Buckleton

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Many methods have been suggested for evaluating the evidential value of a matching Y-chromosomal DNA profile obtained from a biological stain associated with a crime scene and the Y-chromosomal DNA profile of a suspect. Most of these methods are based on estimating the population frequency of the Y-profile. The common independence assumption between loci for autosomal DNA profiles cannot be used for Y-chromosomal DNA profiles. In this paper we reconsider the problem of population frequency estimation by application of Bayesian networks and the Chow-Liu algorithm to model dependencies between loci. We found that the method based on the Chow-Liu algorithm performs almost as well as the discrete Laplace method. We have also made comparisons to the independence model and we have demonstrated once again that the independence method for Y-profiles cannot be supported.

Original languageEnglish
Pages (from-to)29-36
Number of pages8
JournalForensic Science International: Genetics
Volume37
DOIs
Publication statusPublished - Nov 2018

Keywords

  • Chow-Liu algorithm
  • Discrete Laplace method
  • Forensic genetics
  • Lineage markers
  • Weight of evidence
  • Y-chromosome

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