Evidence map›Paper›PMID 40319287›Full record

ArticleBMC veterinary research2025

Genomic analyses in Cavalier King Charles spaniels identify loci associated with clinical signs of Chiari-like malformation and Syringomyelia.

Courtney R Sparks, Jonah N Cullen, Michael W Vandewege, Meghan Leber, Katie M Minor, Steven G Friedenberg, Natasha J Olby

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Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Courtney R SparksDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA.
Jonah N CullenDepartment of Veterinary Clinical Sciences, University of Minnesota, Saint Paul, MN, 55108, USA.
Michael W VandewegeDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA.
Meghan LeberDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA.
Katie M MinorDepartment of Veterinary Clinical Sciences, University of Minnesota, Saint Paul, MN, 55108, USA.
Steven G FriedenbergDepartment of Veterinary Clinical Sciences, University of Minnesota, Saint Paul, MN, 55108, USA.
Natasha J OlbyDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA. njolby@ncsu.edu.

Funding

National Institute of Health F30OD025357
6 · The paper itself

Abstract

backgroundChiari-like malformations (CM) and syringomyelia (SM) are common in Cavalier King Charles spaniels (CKCS) leading to variable manifestations of pain and scratch. Inheritance studies suggest a polygenic mode of inheritance and association studies have identified loci associated with the presence of SM on MRI. Given the poor correlation of clinical signs of CMSM with MRI findings, we hypothesized that an association study with clinical signs as the phenotype could reveal new loci of interest. The objectives of this study were to perform genome-wide association studies on CKCS using SM and clinical sign phenotypes of pain and scratch and to use whole genome sequencing (WGS) to identify variants in regions of interest. We collected DNA on 174 CKCS. Owners completed questionnaires to establish the clinical pain and scratch phenotype and magnetic resonance imaging (MRI) was used to identify CM and SM (linear T2 hyperintensity greater than 2 mm in height) in all dogs. Dogs were genotyped using the Axiom K9 HD (710,000 snps) array. GWAS analyses were performed using GEMMA and categorical and quantitative approaches were used to define clinical phenotypes. Whole genome sequencing (WGS) was performed on an Illumina HiSeq 4000 high-throughput sequencing system.

resultsThere were no regions associated with SM presence. The presence of signs of pain and scratch was associated with a region on Canis familiaris autosome (CFA) 26 downstream of ZWINT, previously associated with skull changes in CKCS with SM, although genome-wide significance was not reached. Loci were also associated with quantitative pain and scratch scores on CFA 13, 2 and 38. There were 66 variants that segregated with phenotype including 2 missense variants that were predicted to have moderate effects on ZWINT function.

conclusionsThe identification of a locus on CFA26 using the clinical phenotype of pain and scratch that coincided with a locus identified in a morphological study provides strong support for this as a region of interest.

Indexed as

Arnold-Chiari MalformationDog DiseasesSyringomyeliaAnimalsDogsFemaleGenome-Wide Association StudyMagnetic Resonance ImagingMalePhenotypePolymorphism, Single NucleotideWhole Genome SequencingComplex trait mappingDogGenome-Wide association studyNeuropathic itchNeuropathic pain

Identifiers

PMID40319287
PMCPMC12048929

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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.