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Balancing at the Borderline of a Breed: A Case Study of the Hungarian Short-Haired Vizsla Dog Breed, Definition of the Breed Profile Using Simple SNP-Based Methods

The aim of this study was to determine the breed boundary of the Hungarian Short-haired Vizsla (HSV) dog breed. Seventy registered purebred HSV dogs were genotyped on approximately 145,000 SNPs. Principal Component Analysis (PCA) and Admixture analysis certified that they belong to the same populati...

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Autores principales: Varga, László, Edviné, Erika Meleg, Hudák, Péter, Anton, István, Pálinkás-Bodzsár, Nóra, Zsolnai, Attila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690546/
https://www.ncbi.nlm.nih.gov/pubmed/36360261
http://dx.doi.org/10.3390/genes13112022
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author Varga, László
Edviné, Erika Meleg
Hudák, Péter
Anton, István
Pálinkás-Bodzsár, Nóra
Zsolnai, Attila
author_facet Varga, László
Edviné, Erika Meleg
Hudák, Péter
Anton, István
Pálinkás-Bodzsár, Nóra
Zsolnai, Attila
author_sort Varga, László
collection PubMed
description The aim of this study was to determine the breed boundary of the Hungarian Short-haired Vizsla (HSV) dog breed. Seventy registered purebred HSV dogs were genotyped on approximately 145,000 SNPs. Principal Component Analysis (PCA) and Admixture analysis certified that they belong to the same population. The outer point of the breed demarcation was a single Hungarian Wire-haired Vizsla (HWV) individual, which was the closest animal genetically to the HSV population in the PCA analysis. Three programs were used for the breed assignment calculations, including the widely used GeneClass2.0 software and two additional approaches developed here: the ‘PCA-distance’ and ‘IBS-central’ methods. Both new methods calculate a single number that represents how closely a dog fits into the actual reference population. The former approach calculates this number based on the PCA distances from the median of HSV animals. The latter calculates it from identity by state (IBS) data, measuring the distance from a central animal that is the best representative of the breed. Having no mixed-breed dogs with known HSV genome proportion, admixture animals were simulated by using data of HSV and HWV individuals to calibrate the inclusion/exclusion probabilities for the assignment. The numbers generated from these relatively simple calculations can be used by breeders and clubs to keep their populations under genetic supervision.
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spelling pubmed-96905462022-11-25 Balancing at the Borderline of a Breed: A Case Study of the Hungarian Short-Haired Vizsla Dog Breed, Definition of the Breed Profile Using Simple SNP-Based Methods Varga, László Edviné, Erika Meleg Hudák, Péter Anton, István Pálinkás-Bodzsár, Nóra Zsolnai, Attila Genes (Basel) Article The aim of this study was to determine the breed boundary of the Hungarian Short-haired Vizsla (HSV) dog breed. Seventy registered purebred HSV dogs were genotyped on approximately 145,000 SNPs. Principal Component Analysis (PCA) and Admixture analysis certified that they belong to the same population. The outer point of the breed demarcation was a single Hungarian Wire-haired Vizsla (HWV) individual, which was the closest animal genetically to the HSV population in the PCA analysis. Three programs were used for the breed assignment calculations, including the widely used GeneClass2.0 software and two additional approaches developed here: the ‘PCA-distance’ and ‘IBS-central’ methods. Both new methods calculate a single number that represents how closely a dog fits into the actual reference population. The former approach calculates this number based on the PCA distances from the median of HSV animals. The latter calculates it from identity by state (IBS) data, measuring the distance from a central animal that is the best representative of the breed. Having no mixed-breed dogs with known HSV genome proportion, admixture animals were simulated by using data of HSV and HWV individuals to calibrate the inclusion/exclusion probabilities for the assignment. The numbers generated from these relatively simple calculations can be used by breeders and clubs to keep their populations under genetic supervision. MDPI 2022-11-03 /pmc/articles/PMC9690546/ /pubmed/36360261 http://dx.doi.org/10.3390/genes13112022 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Varga, László
Edviné, Erika Meleg
Hudák, Péter
Anton, István
Pálinkás-Bodzsár, Nóra
Zsolnai, Attila
Balancing at the Borderline of a Breed: A Case Study of the Hungarian Short-Haired Vizsla Dog Breed, Definition of the Breed Profile Using Simple SNP-Based Methods
title Balancing at the Borderline of a Breed: A Case Study of the Hungarian Short-Haired Vizsla Dog Breed, Definition of the Breed Profile Using Simple SNP-Based Methods
title_full Balancing at the Borderline of a Breed: A Case Study of the Hungarian Short-Haired Vizsla Dog Breed, Definition of the Breed Profile Using Simple SNP-Based Methods
title_fullStr Balancing at the Borderline of a Breed: A Case Study of the Hungarian Short-Haired Vizsla Dog Breed, Definition of the Breed Profile Using Simple SNP-Based Methods
title_full_unstemmed Balancing at the Borderline of a Breed: A Case Study of the Hungarian Short-Haired Vizsla Dog Breed, Definition of the Breed Profile Using Simple SNP-Based Methods
title_short Balancing at the Borderline of a Breed: A Case Study of the Hungarian Short-Haired Vizsla Dog Breed, Definition of the Breed Profile Using Simple SNP-Based Methods
title_sort balancing at the borderline of a breed: a case study of the hungarian short-haired vizsla dog breed, definition of the breed profile using simple snp-based methods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690546/
https://www.ncbi.nlm.nih.gov/pubmed/36360261
http://dx.doi.org/10.3390/genes13112022
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