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Genetic testing of dogs predicts problem behaviors in clinical and nonclinical samples
BACKGROUND: Very little is known about the etiology of personality and psychiatric disorders. Because the core neurobiology of many such traits is evolutionarily conserved, dogs present a powerful model. We previously reported genome scans of breed averages of ten traits related to fear, anxiety, ag...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819838/ https://www.ncbi.nlm.nih.gov/pubmed/35130840 http://dx.doi.org/10.1186/s12864-022-08351-9 |
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author | Zapata, Isain Lilly, M. Leanne Herron, Meghan E. Serpell, James A. Alvarez, Carlos E. |
author_facet | Zapata, Isain Lilly, M. Leanne Herron, Meghan E. Serpell, James A. Alvarez, Carlos E. |
author_sort | Zapata, Isain |
collection | PubMed |
description | BACKGROUND: Very little is known about the etiology of personality and psychiatric disorders. Because the core neurobiology of many such traits is evolutionarily conserved, dogs present a powerful model. We previously reported genome scans of breed averages of ten traits related to fear, anxiety, aggression and social behavior in multiple cohorts of pedigree dogs. As a second phase of that discovery, here we tested the ability of markers at 13 of those loci to predict canine behavior in a community sample of 397 pedigree and mixed-breed dogs with individual-level genotype and phenotype data. RESULTS: We found support for all markers and loci. By including 122 dogs with veterinary behavioral diagnoses in our cohort, we were able to identify eight loci associated with those diagnoses. Logistic regression models showed subsets of those loci could predict behavioral diagnoses. We corroborated our previous findings that small body size is associated with many problem behaviors and large body size is associated with increased trainability. Children in the home were associated with anxiety traits; illness and other animals in the home with coprophagia; working-dog status with increased energy and separation-related problems; and competitive dogs with increased aggression directed at familiar dogs, but reduced fear directed at humans and unfamiliar dogs. Compared to other dogs, Pit Bull-type dogs were not defined by a set of our markers and were not more aggressive; but they were strongly associated with pulling on the leash. Using severity-threshold models, Pit Bull-type dogs showed reduced risk of owner-directed aggression (75th quantile) and increased risk of dog-directed fear (95th quantile). CONCLUSIONS: Our association analysis in a community sample of pedigree and mixed-breed dogs supports the interbreed mapping. The modeling shows some markers are predictive of behavioral diagnoses. Our findings have broad utility, including for clinical and breeding purposes, but we caution that thorough understanding is necessary for their interpretation and use. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08351-9. |
format | Online Article Text |
id | pubmed-8819838 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88198382022-02-08 Genetic testing of dogs predicts problem behaviors in clinical and nonclinical samples Zapata, Isain Lilly, M. Leanne Herron, Meghan E. Serpell, James A. Alvarez, Carlos E. BMC Genomics Research BACKGROUND: Very little is known about the etiology of personality and psychiatric disorders. Because the core neurobiology of many such traits is evolutionarily conserved, dogs present a powerful model. We previously reported genome scans of breed averages of ten traits related to fear, anxiety, aggression and social behavior in multiple cohorts of pedigree dogs. As a second phase of that discovery, here we tested the ability of markers at 13 of those loci to predict canine behavior in a community sample of 397 pedigree and mixed-breed dogs with individual-level genotype and phenotype data. RESULTS: We found support for all markers and loci. By including 122 dogs with veterinary behavioral diagnoses in our cohort, we were able to identify eight loci associated with those diagnoses. Logistic regression models showed subsets of those loci could predict behavioral diagnoses. We corroborated our previous findings that small body size is associated with many problem behaviors and large body size is associated with increased trainability. Children in the home were associated with anxiety traits; illness and other animals in the home with coprophagia; working-dog status with increased energy and separation-related problems; and competitive dogs with increased aggression directed at familiar dogs, but reduced fear directed at humans and unfamiliar dogs. Compared to other dogs, Pit Bull-type dogs were not defined by a set of our markers and were not more aggressive; but they were strongly associated with pulling on the leash. Using severity-threshold models, Pit Bull-type dogs showed reduced risk of owner-directed aggression (75th quantile) and increased risk of dog-directed fear (95th quantile). CONCLUSIONS: Our association analysis in a community sample of pedigree and mixed-breed dogs supports the interbreed mapping. The modeling shows some markers are predictive of behavioral diagnoses. Our findings have broad utility, including for clinical and breeding purposes, but we caution that thorough understanding is necessary for their interpretation and use. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08351-9. BioMed Central 2022-02-07 /pmc/articles/PMC8819838/ /pubmed/35130840 http://dx.doi.org/10.1186/s12864-022-08351-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zapata, Isain Lilly, M. Leanne Herron, Meghan E. Serpell, James A. Alvarez, Carlos E. Genetic testing of dogs predicts problem behaviors in clinical and nonclinical samples |
title | Genetic testing of dogs predicts problem behaviors in clinical and nonclinical samples |
title_full | Genetic testing of dogs predicts problem behaviors in clinical and nonclinical samples |
title_fullStr | Genetic testing of dogs predicts problem behaviors in clinical and nonclinical samples |
title_full_unstemmed | Genetic testing of dogs predicts problem behaviors in clinical and nonclinical samples |
title_short | Genetic testing of dogs predicts problem behaviors in clinical and nonclinical samples |
title_sort | genetic testing of dogs predicts problem behaviors in clinical and nonclinical samples |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819838/ https://www.ncbi.nlm.nih.gov/pubmed/35130840 http://dx.doi.org/10.1186/s12864-022-08351-9 |
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