Casework applications of probabilistic genotyping methods for DNA mixtures that allow relationships between contributors

Green, PJ; Mortera, J; Prieto, L

Casework applications of probabilistic genotyping methods for DNA mixtures that allow relationships between contributors

Green, PJ Mortera, J Prieto, L

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Publisher:: ELSEVIER IRELAND LTD
Publication Type:: Journal Article
Citation:: Forensic Science International Genetics, 2021, 52, pp. 102482
Issue Date:: 2021-02-17

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Field	Value	Language
dc.contributor.author	Green, PJ
dc.contributor.author	Mortera, J
dc.contributor.author	Prieto, L
dc.date.accessioned	2022-01-17T21:54:43Z
dc.date.available	2021-02-08
dc.date.available	2022-01-17T21:54:43Z
dc.date.issued	2021-02-17
dc.identifier.citation	Forensic Science International Genetics, 2021, 52, pp. 102482
dc.identifier.issn	1872-4973
dc.identifier.issn	1878-0326
dc.identifier.uri	http://hdl.handle.net/10453/153223
dc.description.abstract	In both criminal cases and civil cases there is an increasing demand for the analysis of DNA mixtures involving relationships. The goal might be, for example, to identify the contributors to a DNA mixture where the unknown donors may be related, or to infer the relationship between individuals based on a DNA mixture. This paper applies a new approach to modelling and computation for DNA mixtures involving contributors with arbitrarily complex relationships to two real cases from the Spanish Forensic Police.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	ELSEVIER IRELAND LTD
dc.relation.ispartof	Forensic Science International Genetics
dc.relation.isbasedon	10.1016/j.fsigen.2021.102482
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 06 Biological Sciences, 18 Law and Legal Studies
dc.subject.classification	Legal & Forensic Medicine
dc.subject.mesh	DNA
dc.subject.mesh	DNA Fingerprinting
dc.subject.mesh	Female
dc.subject.mesh	Forensic Genetics
dc.subject.mesh	Genotype
dc.subject.mesh	Humans
dc.subject.mesh	Likelihood Functions
dc.subject.mesh	Male
dc.subject.mesh	Pedigree
dc.subject.mesh	Software
dc.subject.mesh	Humans
dc.subject.mesh	DNA
dc.subject.mesh	Likelihood Functions
dc.subject.mesh	DNA Fingerprinting
dc.subject.mesh	Pedigree
dc.subject.mesh	Genotype
dc.subject.mesh	Software
dc.subject.mesh	Female
dc.subject.mesh	Male
dc.subject.mesh	Forensic Genetics
dc.title	Casework applications of probabilistic genotyping methods for DNA mixtures that allow relationships between contributors
dc.type	Journal Article
utslib.citation.volume	52
utslib.location.activity	Netherlands
utslib.for	01 Mathematical Sciences
utslib.for	06 Biological Sciences
utslib.for	18 Law and Legal Studies
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access	*
dc.date.updated	2022-01-17T21:54:41Z
pubs.publication-status	Published
pubs.volume	52

Abstract:

In both criminal cases and civil cases there is an increasing demand for the analysis of DNA mixtures involving relationships. The goal might be, for example, to identify the contributors to a DNA mixture where the unknown donors may be related, or to infer the relationship between individuals based on a DNA mixture. This paper applies a new approach to modelling and computation for DNA mixtures involving contributors with arbitrarily complex relationships to two real cases from the Spanish Forensic Police.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/153223