DNA commission of the International Society of Forensic Genetics (ISFG): Recommendations on the interpretation of Y-STR results in forensic analysis.
Evidential weight
Frequency estimation
Population data
Y chromosome
YHRD
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:
09 2020
09 2020
Historique:
received:
29
04
2020
accepted:
06
05
2020
pubmed:
6
7
2020
medline:
13
7
2021
entrez:
5
7
2020
Statut:
ppublish
Résumé
Forensic genetic laboratories perform a large amount of STR analyses of the Y chromosome, in particular to analyze the male part of complex DNA mixtures. However, the statistical interpretation of evidence retrieved from Y-STR haplotypes is challenging. Due to the uni-parental inheritance mode, Y-STR loci are connected to each other and thus haplotypes show patterns of relationship on the familial and population level. This precludes the treatment of Y-STR loci as independently inherited variables and the application of the product rule. Instead, the dependency structure of Y-STRs needs to be included in the haplotype frequency estimation process affecting also the current paradigm of a random match probability that is in the autosomal case approximated by the population frequency assuming unrelatedness of sampled individuals. Information on the degree of paternal relatedness in the suspect population as well as on the familial network is however needed to interpret Y-chromosomal results in the best possible way. The previous recommendations of the DNA commission of the ISFG on the use of Y-STRs in forensic analysis published more than a decade ago [1] cover the interpretation issue only marginally. The current recommendations address a number of topics (frequency estimators, databases, metapopulations, LR formulation, triage, rapidly mutating Y-STRs) with relevance for the Y-STR statistics and recommend a decision-based procedure, which takes into account legal requirements as well as availability of population data and statistical methods.
Identifiants
pubmed: 32622324
pii: S1872-4973(20)30081-8
doi: 10.1016/j.fsigen.2020.102308
pii:
doi:
Types de publication
Editorial
Guideline
Langues
eng
Sous-ensembles de citation
IM
Pagination
102308Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.