Dog breed affiliation with a forensically validated canine STR set

Berger, B; Berger, C; Heinrich, J; Niederstätter, H; Hecht, W; Hellmann, A; Rohleder, U; Schleenbecker, U; Morf, N; Freire-Aradas, A; McNevin, D; Phillips, C; Parson, W

Dog breed affiliation with a forensically validated canine STR set

Berger, B Berger, C Heinrich, J Niederstätter, H Hecht, W Hellmann, A Rohleder, U Schleenbecker, U Morf, N Freire-Aradas, A McNevin, D

Phillips, C Parson, W

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Publication Type:: Journal Article
Citation:: Forensic Science International: Genetics, 2018, 37 pp. 126 - 134
Issue Date:: 2018-11-01

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Field	Value	Language
dc.contributor.author	Berger, B	en_US
dc.contributor.author	Berger, C	en_US
dc.contributor.author	Heinrich, J	en_US
dc.contributor.author	Niederstätter, H	en_US
dc.contributor.author	Hecht, W	en_US
dc.contributor.author	Hellmann, A	en_US
dc.contributor.author	Rohleder, U	en_US
dc.contributor.author	Schleenbecker, U	en_US
dc.contributor.author	Morf, N	en_US
dc.contributor.author	Freire-Aradas, A	en_US
dc.contributor.author	McNevin, D https://orcid.org/0000-0003-1665-3367	en_US
dc.contributor.author	Phillips, C	en_US
dc.contributor.author	Parson, W	en_US
dc.date.available	2018-08-11	en_US
dc.date.issued	2018-11-01	en_US
dc.identifier.citation	Forensic Science International: Genetics, 2018, 37 pp. 126 - 134	en_US
dc.identifier.issn	1872-4973	en_US
dc.identifier.uri	http://hdl.handle.net/10453/128633
dc.description.abstract	© 2018 Elsevier B.V. We tested a panel of 13 highly polymorphic canine short tandem repeat (STR) markers for dog breed assignment using 392 dog samples from the 23 most popular breeds in Austria, Germany, and Switzerland. This STR panel had originally been selected for canine identification. The dog breeds sampled in this study featured a population frequency ≥1% and accounted for nearly 57% of the entire pedigree dog population in these three countries. Breed selection was based on a survey comprising records for nearly 1.9 million purebred dogs belonging to more than 500 different breeds. To derive breed membership from STR genotypes, a range of algorithms were used. These methods included discriminant analysis of principal components (DAPC), STRUCTURE, GeneClass2, and the adegenet package for R. STRUCTURE analyses suggested 21 distinct genetic clusters. Differentiation between most breeds was clearly discernable. Fourteen of 23 breeds (61%) exhibited maximum mean cluster membership proportions of more than 0.70 with a highest value of 0.90 found for Cavalier King Charles Spaniels. Dogs of only 6 breeds (26%) failed to consistently show only one major cluster. The DAPC method yielded the best assignment results in all 23 declared breeds with 97.5% assignment success. The frequency-based assignment test also provided a high success rate of 87%. These results indicate the potential viability of dog breed prediction using a well-established and sensitive set of 13 canine STR markers intended for forensic routine use.	en_US
dc.relation.ispartof	Forensic Science International: Genetics	en_US
dc.relation.isbasedon	10.1016/j.fsigen.2018.08.005	en_US
dc.subject.classification	Legal & Forensic Medicine	en_US
dc.subject.mesh	Animals	en_US
dc.subject.mesh	Dogs	en_US
dc.subject.mesh	Discriminant Analysis	en_US
dc.subject.mesh	Likelihood Functions	en_US
dc.subject.mesh	DNA Fingerprinting	en_US
dc.subject.mesh	Microsatellite Repeats	en_US
dc.subject.mesh	Genotype	en_US
dc.subject.mesh	Algorithms	en_US
dc.subject.mesh	Real-Time Polymerase Chain Reaction	en_US
dc.title	Dog breed affiliation with a forensically validated canine STR set	en_US
dc.type	Journal Article
utslib.citation.volume	37	en_US
utslib.for	0699 Other Biological Sciences	en_US
utslib.for	0102 Applied Mathematics	en_US
utslib.for	1899 Other Law and Legal Studies	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	06 Biological Sciences	en_US
utslib.for	18 Law and Legal Studies	en_US
pubs.embargo.period	Not known	en_US
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
pubs.organisational-group	/University of Technology Sydney/Strength - CFS - Centre for Forensic Science
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	37	en_US

Abstract:

© 2018 Elsevier B.V. We tested a panel of 13 highly polymorphic canine short tandem repeat (STR) markers for dog breed assignment using 392 dog samples from the 23 most popular breeds in Austria, Germany, and Switzerland. This STR panel had originally been selected for canine identification. The dog breeds sampled in this study featured a population frequency ≥1% and accounted for nearly 57% of the entire pedigree dog population in these three countries. Breed selection was based on a survey comprising records for nearly 1.9 million purebred dogs belonging to more than 500 different breeds. To derive breed membership from STR genotypes, a range of algorithms were used. These methods included discriminant analysis of principal components (DAPC), STRUCTURE, GeneClass2, and the adegenet package for R. STRUCTURE analyses suggested 21 distinct genetic clusters. Differentiation between most breeds was clearly discernable. Fourteen of 23 breeds (61%) exhibited maximum mean cluster membership proportions of more than 0.70 with a highest value of 0.90 found for Cavalier King Charles Spaniels. Dogs of only 6 breeds (26%) failed to consistently show only one major cluster. The DAPC method yielded the best assignment results in all 23 declared breeds with 97.5% assignment success. The frequency-based assignment test also provided a high success rate of 87%. These results indicate the potential viability of dog breed prediction using a well-established and sensitive set of 13 canine STR markers intended for forensic routine use.

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http://hdl.handle.net/10453/128633