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.

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. 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). Our findings have broad utility, including for clinical and breeding purposes, but we caution that thorough understanding is necessary for their interpretation and use.

OBJECTIVE To survey first-year veterinary students' knowledge of companion animal (dog, cat, and horse) behavior and popular-culture (ie, pop-culture) behavior myths related to animal body language, motivations, and learning prior to participation in an introductory animal behavior course; evaluate potential associations between sources of prior behavior knowledge and knowledge on the preclass survey; and determine whether postclass scores on the same survey were predictive of final examination score for the behavior class. SAMPLE 156 first-year veterinary students. PROCEDURES Students were invited to participate in an anonymous electronic survey before and after a semester-long, 2-credit introductory animal behavior course. Demographic features, self-assessed animal behavior knowledge, and sources of prior behavior knowledge were evaluated as predictors of preclass survey knowledge scores. Postclass survey knowledge scores were evaluated for association with final examination scores as a measure of validity. RESULTS Preclass knowledge scores were low (mean ± SD, 49 ± 12.7%; n = 152). Reporting peer-reviewed journal articles as a source of incoming knowledge predicted 9% higher scores, whereas reporting magazines or online pop-culture articles as a source of incoming knowledge predicted 7.6% lower scores for preclass behavior knowledge, compared with scores for students not citing those respective sources. Companion animal ownership was not associated with preclass survey knowledge scores. Postclass knowledge scores were substantially improved (mean ± SD, 84.3 ± 8%) and predictive of final examination scores. CONCLUSIONS AND CLINICAL RELEVANCE Results indicated a profound deficit of behavior knowledge among veterinary students at the start of their curriculum. Students graduating from veterinary institutions without a comprehensive behavior course may be at a disadvantage for day 1 competency in addressing animal behavior problems.

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