| name | vbo-ontology |
| description | Access the Vertebrate Breed Ontology (VBO) for standardized breed nomenclature across 49 species with 19,500+ breed concepts. Use for breed identification, cross-referencing, and taxonomic standardization. |
Vertebrate Breed Ontology (VBO)
Overview
The Vertebrate Breed Ontology (VBO) is a standardized, structured taxonomy of animal breeds and varieties across 49 domesticated and semi-domesticated species. Developed and maintained by the VBO consortium (veterinary geneticists, bioinformaticians, breed club representatives), VBO enables consistent breed naming, automated breed-predisposition reasoning, and integration with genetic disease databases (OMIA, VetClaw). With 19,500+ breed concepts and hierarchical classification, VBO powers precision veterinary medicine.
When to Use
- User identifies patient breed and needs standardized breed nomenclature for records/research
- User queries breed-specific health predispositions (MDR1 in herding breeds)
- User resolves breed name ambiguities (e.g., "English Springer Spaniel" vs. "Springer Spaniel" variant)
- User performs cross-species breed classification (dog breed groups, horse registry standards)
- User links breed-specific genetic test recommendations to patient phenotype
- Keywords: VBO, breed ontology, breed identification, breed predisposition, standardized nomenclature, FCI
What is VBO?
Definition: Formal ontology structured as directed acyclic graph (DAG) where:
- Nodes = breed concepts (unique IDs)
- Edges = hierarchical relationships (is-a, part-of)
- Metadata = breed names (preferred + synonyms), species, FCI classification (for dogs/cats), breed clubs
Coverage (by Species):
- Companion Animals: Canis familiaris (dog) - 900+ breeds; Felis catus (cat) - 250+ breeds; Rabbit (200+), Guinea pig (50+)
- Livestock: Cattle (300+), Horse (350+), Sheep (500+), Goat (200+), Swine (100+), Poultry (200+)
- Exotic Species: Fish (200+), Rodents, Amphibians, Reptiles
Total: 19,500+ breed concepts across 49 species
VBO Hierarchical Structure
Dog (Canis familiaris) Example:
VBO_DOG_ROOT (Dog - all breeds)
├── VBO_GROUP_1 (FCI Group 1: Sheepdogs & Cattle Dogs)
│ ├── VBO_COLLIE (Rough Collie)
│ ├── VBO_COLLIE_SMOOTH (Smooth Collie)
│ ├── VBO_AUSTRALIAN_SHEPHERD (Australian Shepherd)
│ ├── VBO_GERMAN_SHEPHERD (German Shepherd Dog)
│ └── ... (50+ herding breeds)
├── VBO_GROUP_2 (FCI Group 2: Pinschers, Schnauzers, Molossians)
│ ├── VBO_BOXER (Boxer)
│ ├── VBO_DOBERMAN (Doberman Pinscher)
│ └── ... (20+ molossoid breeds)
├── VBO_GROUP_3 (FCI Group 3: Terriers)
│ ├── VBO_SMOOTH_FOX_TERRIER (Smooth Fox Terrier)
│ └── ... (30+ terrier breeds)
├── VBO_GROUP_8 (FCI Group 8: Retrievers, Flushing Dogs)
│ ├── VBO_LABRADOR (Labrador Retriever)
│ ├── VBO_GOLDEN (Golden Retriever)
│ └── ... (30+ gun dogs)
└── ... (8 total FCI groups + miscellaneous/non-FCI breeds)
Cattle (Bos taurus) Example:
VBO_CATTLE_ROOT
├── VBO_DAIRY (Dairy Breeds)
│ ├── VBO_HOLSTEIN (Holstein-Friesian)
│ ├── VBO_JERSEY (Jersey)
│ ├── VBO_GUERNSEY (Guernsey)
│ └── VBO_BROWN_SWISS (Brown Swiss)
├── VBO_BEEF (Beef Breeds)
│ ├── VBO_ANGUS (Angus)
│ ├── VBO_HEREFORD (Hereford)
│ ├── VBO_CHAROLAIS (Charolais)
│ └── ...
└── VBO_DUAL_PURPOSE (Dairy/Beef Breeds)
├── VBO_SIMMENTAL (Simmental)
└── ...
VBO Breed ID Format
Standard Format: VBO_XXXXXX (6-character code or full name reference)
Examples:
- VBO_0000147 = Labrador Retriever (canine)
- VBO_0000456 = Collie (canine)
- VBO_0000123 = Siamese (feline)
- VBO_0001000 = Holstein (bovine)
- VBO_0002156 = Thoroughbred (equine)
Nomenclature Standards:
- Preferred name = FCI standard (for FCI-recognized breeds)
- Synonyms = regional variants, historical names, abbreviated forms
- Example: "Rough Collie" (preferred) ≈ "Lassie type" (historical) ≈ "Collie long-coat" (variant)
Accessing VBO
Web Interface (OBO Foundry/BioPortal):
https://www.ebi.ac.uk/ols/ontologies/vbo (EMBL-EBI OLS - Ontology Lookup Service)
Search Functions:
- Breed by Name: Enter "Labrador" → Returns VBO_0000147 + linked data
- Breed by FCI Code: Enter "8.1" (FCI retriever code) → Lists all retrievers
- By Species: Select "Canis familiaris" → Browse all dog breeds
- By Predisposition: (Advanced) Query "MDR1 mutation" → Returns all affected breeds
Download Formats:
- OWL (Web Ontology Language): Full semantic structure, machine-readable
- OBO Format: Text-based, human-readable
- JSON: Programmatic access
- CSV: Breed list spreadsheets
File Location: https://github.com/vbreeds/vbo (open-source repository)
VBO-OMIA Integration
Power of Linking:
VBO enables automated health predisposition reasoning by linking breed ID to inherited disease databases (OMIA).
Example Query:
Breed: VBO_0000456 (Collie)
→ Link to OMIA records for Collie predispositions
→ Results:
- MDR1 mutation: 50-70% carriers
- Collie Eye Anomaly: 15-25% carriers
- Progressive Retinal Atrophy: Breed-specific loci
- Microphthalmia: Rare
→ Veterinarian alert: "Collie breed: avoid ivermectin (MDR1); screen eyes (CERF)"
Breeding Program Integration:
1. Breeder registers breeding dogs: VBO ID + genetic test results (OMIA-linked)
2. System identifies mating risks:
- Both parents carriers of PRA → 25% affected puppies
- One parent MDR1 homozygous, other carrier → all puppies carriers
3. Recommendation: Avoid mating; counsel on genetic implications
VBO Hierarchical Relationships
Parent-Child Relationships:
FCI Group 8 (Retrievers)
├── Labrador Retriever (VBO_0000147)
│ ├── Black Labrador (phenotypic variant)
│ ├── Yellow Labrador (phenotypic variant)
│ └── Chocolate Labrador (phenotypic variant)
└── Golden Retriever (VBO_0000234)
Breed Variants (Size/Coat):
Some breeds have recognized size/coat variants (not separate breed in FCI, but distinct lines):
- Standard Poodle vs. Miniature Poodle vs. Toy Poodle
- VBO distinguishes size variants with separate IDs
- Different health predispositions (patella luxation more common in toy sizes)
- Rough Collie vs. Smooth Collie
- Both VBO IDs, same genetic predispositions (MDR1)
- Phenotypic difference (coat length) only
Breed Predisposition Reasoning
Automated Workflow (VetClaw AI):
1. Patient Information Input:
- Species: Canis familiaris
- Breed: "Rough Collie"
- Age: 8 months
- Gender: Female
2. VBO Lookup:
- Resolves "Rough Collie" → VBO_0000456
- Identifies parent FCI group: Group 1 (Herding Dogs)
3. OMIA Predisposition Query:
- Search OMIA: "VBO_0000456" + inherited diseases
- Returns: MDR1, Collie Eye Anomaly, PRA, etc.
4. Genetic Test Recommendations:
- MDR1: Recommended (drug interaction implications)
- Eye exam: CERF certification (Collie Eye Anomaly screening)
- PRA testing: Candidate gene panel
5. Clinical Alert Generation:
- "Breed predisposition: Avoid ivermectin + analogs"
- "Recommend ophthalmology exam before breeding"
6. Treatment Plan Modification:
- Alternative antiparasitic: Spinosad (not MDR1-substrate)
- Genetic counseling: If breeding planned
Cross-Species Breed Standardization
Problem: Same breed name across species with different meanings
- "Angora": Could be Angora rabbit, Angora goat, or Angora cat
- VBO resolves with species prefix: VBO_ANGORA_RABBIT vs. VBO_ANGORA_GOAT
International Breed Name Variation:
- "English Springer Spaniel" (FCI) vs. "English Springer Spaniel" (AKC) vs. "Springer Spaniel" (colloquial)
- VBO preferred: FCI standard; synonyms capture variants
Horse Registry Integration:
- Thoroughbred (Equestrian registry: Jockey Club)
- Quarter Horse (AQHA registration)
- VBO links both to equine taxonomy, but maintains registry distinctions
VBO Querying Examples
Example 1: Find All Large-Breed Dogs (Hip Dysplasia Risk)
SPARQL Query:
SELECT ?breed ?breedLabel
WHERE {
?breed rdfs:subClassOf vbo:GROUP_8 . # Retrievers, gun dogs
?breed rdfs:label ?breedLabel .
}
Returns: Labrador, Golden Retriever, etc. (all large breeds)
Filter by predisposition: High hip dysplasia prevalence
Example 2: Identify All Cat Breeds with PKD1 Risk
Query: "Felis catus" + "PKD1" + inheritance:autosomal_dominant
Returns: Persian, Maine Coon, Bengal, British Shorthair, etc.
Link to OMIA: PKD1 prevalence per breed
Breeding recommendation: Screen parents (ultrasound kidney assessment)
Example 3: Breed Equivalence Across Registries
Query: VBO_LABRADOR (FCI) + AKC equivalent
Returns: Labrador Retriever (AKC) = Labrador (FCI) = same breed
Use for breed-predisposition research (align datasets from different registries)
VBO-Based Breed Identification Workflow
Ambiguous Case: User Says "Spaniel"
1. VBO Query: "Spaniel" (search for partial name match)
2. Returns multiple breeds:
- English Springer Spaniel (VBO_0000XXX)
- Cocker Spaniel (VBO_0000YYY)
- Cavalier King Charles Spaniel (VBO_0000ZZZ)
- American Spaniel Variety (multiple lines)
3. Veterinarian Clarifies:
- "Which spaniel breed exactly?"
- Obtain FCI classification or show pedigree
4. Once Breed Confirmed:
- VBO ID assigned (e.g., VBO_0000XXX = English Springer Spaniel)
- Health predispositions retrieved
- Genetic testing recommendations automated
5. Medical Record:
- Store VBO ID (standardized across clinics/research)
- Enable data sharing, breeding program tracking
Limitations
- Non-FCI Breeds: Many regional/emerging breeds lack VBO classification
- Mixed-Breed Animals: VBO applies to purebreds; hybrids/mongrels not classified
- Breed Validity: FCI recognition varies; some "breeds" are phenotypic variants, not genetically distinct
- Phenotypic vs. Genetic: VBO emphasizes FCI breed standards (phenotype) rather than genetic similarity (genotype)
- Example: English Springer Spaniel vs. Cocker Spaniel are distinct FCI breeds but genetically closely related
- Updating Lag: New breeds recognized by breed clubs; VBO updates lag (6-12 months typical)
- Species Bias: Dog, cat, horse breeds well-represented; exotic species sparse
Sources
Advanced Integration
VetClaw SDK provides VBO breed lookups and OMIA predisposition queries integrated into clinical decision support. See /sessions/charming-practical-mayer/mnt/OpenVet/vetclaw/vetclaw/sdk/ for Python/TypeScript breed ontology client examples.
