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

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

doi:10.1016/j.fsigen.2018.07.014

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 journal › Journal article › Research › peer-review

8 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 foY-profiles cannot be supported.

Original language	English
Journal	Forensic Science International: Genetics
Volume	37
Pages (from-to)	29-36
Number of pages	8
ISSN	1872-4973
DOIs	https://doi.org/10.1016/j.fsigen.2018.07.014
Publication status	Published - 2018

Keywords

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

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10.1016/j.fsigen.2018.07.014

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title = "Modelling the dependence structure of Y-STR haplotypes using graphical models",

abstract = "Many methods have been suggested for evaluating the evidential value of a matching Y-chromosomal DNAprofile obtained from a biological stain associated with a crime scene and the Y-chromosomal DNA profile of asuspect. Most of these methods are based on estimating the population frequency of the Y-profile. The commonindependence assumption between loci for autosomal DNA profiles cannot be used for Y-chromosomal DNAprofiles. 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 foY-profiles cannot be supported.",

keywords = "Chow-Liu algorithm, Discrete Laplace method, Forensic genetics, Lineage markers, Weight of evidence, Y-chromosome",

author = "Andersen, {Mikkel Meyer} and James Curran and {de Zoete}, Jacob and Duncan Taylor and John Buckleton",

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language = "English",

volume = "37",

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journal = "Forensic Science International: Genetics",

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T1 - Modelling the dependence structure of Y-STR haplotypes using graphical models

AU - Andersen, Mikkel Meyer

AU - Curran, James

AU - de Zoete, Jacob

AU - Taylor, Duncan

AU - Buckleton, John

PY - 2018

Y1 - 2018

N2 - Many methods have been suggested for evaluating the evidential value of a matching Y-chromosomal DNAprofile obtained from a biological stain associated with a crime scene and the Y-chromosomal DNA profile of asuspect. Most of these methods are based on estimating the population frequency of the Y-profile. The commonindependence assumption between loci for autosomal DNA profiles cannot be used for Y-chromosomal DNAprofiles. 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 foY-profiles cannot be supported.

AB - Many methods have been suggested for evaluating the evidential value of a matching Y-chromosomal DNAprofile obtained from a biological stain associated with a crime scene and the Y-chromosomal DNA profile of asuspect. Most of these methods are based on estimating the population frequency of the Y-profile. The commonindependence assumption between loci for autosomal DNA profiles cannot be used for Y-chromosomal DNAprofiles. 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 foY-profiles cannot be supported.

KW - Chow-Liu algorithm

KW - Discrete Laplace method

KW - Forensic genetics

KW - Lineage markers

KW - Weight of evidence

KW - Y-chromosome

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U2 - 10.1016/j.fsigen.2018.07.014

DO - 10.1016/j.fsigen.2018.07.014

M3 - Journal article

SN - 1872-4973

VL - 37

SP - 29

EP - 36

JO - Forensic Science International: Genetics

JF - Forensic Science International: Genetics

ER -

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

Abstract

Keywords

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