Estimation of Y haplotype frequencies with lower order dependencies.
Chow–Liu algorithm
Discrete Laplace method
Forensic genetics
Frequency estimation
Graphical models
Y haplotypes
t-cherry junction trees
Journal
Forensic science international. Genetics
ISSN: 1878-0326
Titre abrégé: Forensic Sci Int Genet
Pays: Netherlands
ID NLM: 101317016
Informations de publication
Date de publication:
05 2020
05 2020
Historique:
received:
22
08
2019
revised:
05
11
2019
accepted:
29
11
2019
pubmed:
24
2
2020
medline:
23
3
2021
entrez:
24
2
2020
Statut:
ppublish
Résumé
Estimating Y haplotype population frequencies is a demanding task in forensic genetics. Despite the suggestion of various methods, none these have yet reached a level of accuracy and precision that is acceptable to the forensic genetics community. At the basis of this problem is the complex dependency structure between the involved STR loci. Here, we approximate this structure by the use of specific graphical models, namely t-cherry junction trees. We apply trees of order three by which dependencies between three STR loci can be taken into account, thereby extending the Chow-Liu method which is restricted to pairwise dependencies. We show that the t-cherry tree method outperforms the Chow-Liu method as well as the well-established discrete Laplace method in estimation accuracy.
Identifiants
pubmed: 32088643
pii: S1872-4973(19)30379-5
doi: 10.1016/j.fsigen.2019.102214
pii:
doi:
Substances chimiques
Genetic Markers
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
102214Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.