Evidence map›Paper›PMID 41813777›Full record

ArticleScientific reports2026

Phenome-wide study connects behavioral genetics of odor detection dogs with temperament traits.

Alexander W Eyre, Isain Zapata, Jasmin Fraire, Kevin D Coty, Heather J Huson, Katy M Evans, Cynthia M Otto, James A Serpell, Diane van Rooy, Claire M Wade and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Alexander W EyreIndependent Researcher, Columbus, OH, USA.
Isain ZapataDepartment of Biomedical Sciences, Rocky Vista University College of Osteopathic Medicine, Parker, CO, 80134, USA.
Jasmin FraireIndependent Researcher, Columbus, OH, USA.
Kevin D CotyBattelle, 505 King Avenue, Columbus, OH, 43201, USA.
Heather J HusonDepartment of Animal Science, Cornell University, 201 Morrison Hall, 507 Tower Rd, Ithaca, NY, 14853, USA.
Katy M EvansThe Seeing Eye, Inc, Morristown, NJ, 07960, USA.
Cynthia M OttoPenn Vet Working Dog Center, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19146, USA.
James A SerpellDepartment of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Diane van RooySchool of Life and Environmental Sciences, University of Sydney, RMC Gunn, University of Sydney, Camperdown, NSW, B19-301, 2006, Australia.
Claire M WadeSchool of Life and Environmental Sciences, University of Sydney, RMC Gunn, University of Sydney, Camperdown, NSW, B19-301, 2006, Australia.
Sarah C BlottSchool of Veterinary Medicine and Science, University of Nottingham, Gateway Building, Sutton Bonington, Leicestershire, LE12 5RD, UK.
Pamela WienerRoslin Institute, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, Scotland, UK.
Marie J HaskellSRUC (Scotland's Rural College), Edinburgh, UK.
Carlos E AlvarezDepartments of Pediatrics and Veterinary Clinical Sciences, The Ohio State University Wexner Medical Center, The Ohio State University College of Veterinary Medicine, Columbus, OH, 43210, USA. alvarez.73@osu.edu.

Funding

American Kennel Club Canine Health Foundation 01660Department of Homeland Security Science and Technology Directorate 70RSAT19CB0000014
6 · The paper itself

Abstract

We conducted a Phenome-Wide Association Study (PheWAS) to investigate whether alleles previously shown to be associated with problem behaviors in Labrador Retrievers from the U.S. Transportation Security Administration’s (TSA) odor detection program also show behavioral associations in other populations. The original TSA cohort (2002–2013) consisted of dogs from a former breeding program that drew from U.S. commercial sources and the Australian Customs Service. While those data included TSA testing results from the foster period, detailed behavior profiles and reasons for elimination from the program were not recorded. To extend and validate these genetic associations in populations with richer behavioral data, we analyzed three additional Labrador Retriever cohorts with both genotype and C-BARQ behavioral questionnaire data: (1) Australian pet dogs, (2) UK dogs from a mixed pet and working background (primarily gamebird retrieving), and (3) U.S. working guide dogs. This analysis identified a total of 15 associations between 12 behavioral traits and 8 markers at 6 genome loci. Notably, we found four types of aggression and one type of fear that are directed at familiar humans or dogs, but none directed at unfamiliar ones. Other problem traits identified include separation-related behaviors, excitability, and chasing small animals. Furthermore, we utilized whole genome sequencing to identify a functional candidate associated with “aggression when approached by a household dog at a favorite resting place”. We propose this variant in an ADAMTSL1 intron results in the loss of TCF7L1 protein binding, and we highlight the evolutionary history of that conserved element, including the fixation of two mutations in the human lineage. Our PheWAS findings suggest relevance to working dog selection, breeding, and training, presenting opportunities to reduce costs while improving performance and resilience.

Indexed as

Behavior, AnimalGenetics, BehavioralOdorantsTemperamentAggressionAnimalsBreedingDogsFemaleGenome-Wide Association StudyGenotypeMalePhenotypePolymorphism, Single NucleotideBehaviorCanineGWASPheWASTemperamentWorking dogs

Identifiers

PMID41813777
PMCPMC13128884

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.