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                            Library & Multimedia
 Modelling the Dependence Structure of Y-STR Haplotypes Using Graphical Models
NCJ Number
              254147
Journal

*Forensic Science International-Genetics* Volume: 37 Dated: November 2018 Pages: 29-36
Author(s)
          Mikkel M. Andersen;
                        James Curran;
                        Jacob de Zoete;
                        Duncan Taylor;
                        John Buckleton
Date Published

November 2018
Length
              8 pages
Annotation
              This article reports on a reconsideration of the problem of population frequency estimation by application of Bayesian networks and the Chow-Liu algorithm to model dependencies between loci.
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. The study found that the method based on the Chow-Liu algorithm performs almost as well as the discrete Laplace method. The study also made comparisons to the independence model, demonstrating once again that the independence method for Y-profiles cannot be supported. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2011-DN-BX-K541


  
  
        
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  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)
                                Report (Grant Sponsored)
                                Program/Project Description


  
  
        
  Award
        Population Genetic Issues for Forensic DNA Profiles
    
  
  
Date Published: November 1, 2018
    
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