Probabilistic genotyping software: An overview.
DNA mixture
Forensic DNA
Interpretation
Mixture software
Probabilistic genotyping
Validation
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:
01 2019
01 2019
Historique:
received:
23
10
2018
revised:
07
11
2018
accepted:
07
11
2018
pubmed:
21
11
2018
medline:
27
1
2019
entrez:
21
11
2018
Statut:
ppublish
Résumé
The interpretation of mixed profiles from DNA evidentiary material is one of the more challenging duties of the forensic scientist. Traditionally, analysts have used a "binary" approach to interpretation where inferred genotypes are either included or excluded from the mixture using a stochastic threshold and other biological parameters such as heterozygote balance, mixture ratio, and stutter ratios. As the sensitivity of STR multiplexes and capillary electrophoresis instrumentation improved over the past 25 years, coupled with the change in the type of evidence being submitted for analysis (from high quality and quantity (often single-source) stains to low quality and quantity (often mixed) "touch" samples), the complexity of DNA profile interpretation has equally increased. This review provides a historical perspective on the movement from binary methods of interpretation to probabilistic methods of interpretation. We describe the two approaches to probabilistic genotyping (semi-continuous and fully continuous) and address issues such as validation and court acceptance. Areas of future needs for probabilistic software are discussed.
Identifiants
pubmed: 30458407
pii: S1872-4973(18)30552-0
doi: 10.1016/j.fsigen.2018.11.009
pii:
doi:
Substances chimiques
DNA
9007-49-2
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
219-224Informations de copyright
Copyright © 2018 Elsevier B.V. All rights reserved.