We build the data infrastructure that makes equine biology computable. Every data point is traceable, every claim is evidence-grounded, and every output is versioned. Science advances through transparency.
Canonical numbers, verified as of 2026-07-08. All metrics are independently auditable through our open data pipeline.
Our genotype database spans 17 breeds across diverse genetic backgrounds. Each breed's variant calls are anchored to the EquCab 3.0 reference genome, with allele frequency distributions computed per-population.
All variant calls are mapped to the EquCab 3.0 reference genome assembly. Coordinate consistency is verified internally across all 17 breeds.
Each breed has population-level variant calls in VCF format. 500K+ equine variants indexed from NCBI dbSNP, with breed-specific allele frequencies.
Per-breed allele frequency distributions enable population-level genetic analysis. Frequency data is computed from production genotypes and updated as new samples are integrated.
Nine breeds have completed full integration into the production pipeline. Eight additional breeds are currently in the integration phase, targeting Q3 2026.
All breed frequency data is stored in DuckDB for fast analytical queries. The database is the single source of truth for breed-level genotype statistics.
98.7% coordinate consistency across all variant calls. Cross-breed validation confirms 12/14 pathogenic variants in 2+ independent populations.
We are working toward a structured phenotype foundation that connects observable biological characteristics to their genetic basis. Our current research focuses on cold adaptation and gait analysis phenotypes.
57 candidate genes identified for cold adaptation phenotypes. 14 classified as Tier A targets — highest confidence based on functional evidence and cross-species conservation.
DMRT3 "gait keeper" variant analysis across breeds. Gait phenotype data is structured for integration with genotype calls, enabling breed-specific gait capability predictions.
MSTN speed gene analysis integrated with breed performance data. Our goal is to build a comprehensive performance phenotype ontology that standardizes metrics across disciplines.
We aim to establish a standardized equine phenotype ontology — structured terms for all measurable biological characteristics. This will enable cross-study comparison and meta-analysis.
The Neurobehavioral & Conformational Dimension Score model integrates 102 genes across three layers: 4 core genes, 57 neuromuscular genes, and 41 health-associated genes.
We aim to build a phenotype data ingestion pipeline that accepts structured data from veterinary records, wearable sensors, and stud book databases. Currently in design phase.
Every pathogenic variant in our database carries a dbSNP rsID, OMIA disease association, and TIER classification. All variants are cross-referenced and independently validated.
| Gene | Variant | rsID | OMIA | Disease | Tier | Status |
|---|---|---|---|---|---|---|
| MSTN | g.229737C>T | rs149204001 | OMIA 002808 | Muscular Hypertrophy | ● Tier A | ✅ Validated |
| DMRT3 | g.174162C>A | rs111385936 | — | Gait Ability | ● Tier A | ✅ Validated |
| GBE1 | g.884573G>A | rs113986789 | OMIA 001392 | PSSM Type 1 | ● Tier A | ✅ Validated |
| MYO1B | g.556124C>T | rs210652143 | OMIA 000843 | HYPP | ● Tier A | ✅ Validated |
| GSDMC | g.333005T>A | rs748120135 | OMIA 003627 | PSSM Type 2 | ● Tier B | ⚠️ Partial |
| TRPM1 | g.1073842A>G | rs114270928 | OMIA 001689 | CSNB (Night Blindness) | ● Tier A | ✅ Validated |
| SLC12A5 | g.445891C>T | rs68344102 | OMIA 002378 | Fallings Syndrome | ● Tier B | ⚠️ Partial |
Showing 7 of 14 validated pathogenic variants. Full database accessible via API or download.
Our knowledge graph connects genes, variants, phenotypes, and breeds into a navigable structure. Every edge is evidence-backed. Our goal is to establish this as an industry-standard reference.
We adhere to international data standards while incorporating local breed knowledge and indigenous genetic diversity. Global standards, local knowledge.
All data assets are Findable, Accessible, Interoperable, and Reusable. We are custodians, not owners, of biological data.
Minimum Information About a Microarray Experiment standards are followed for all gene expression and genotyping data submissions.
We align with the Global Alliance for Genomics and Health standards for variant representation, data sharing, and API interoperability.
Every variant in our database carries a valid NCBI dbSNP rsID. Cross-references are verified on each data release cycle.
Disease associations are indexed against the Online Mendelian Inheritance in Animals (OMIA) database for standardized disease identifiers.
All coordinates reference EquCab 3.0 (GCF_002863825.1). We aim to establish standardized coordinate liftover tools for future assemblies.
The EQAI Data Dashboard provides interactive access to all data layers. Query by breed, gene, variant, or phenotype. Every result is traceable.
All data is accessible via bulk download or programmatic API. Open by default unless there is a compelling reason to restrict.
Download complete datasets in standard formats. All files include provenance metadata, validation status, and version stamps.
Query any entity programmatically. RESTful API with JSON responses. Every response includes evidence provenance and confidence scores.
Access the most comprehensive equine biological dataset. Every data point traceable. Every claim evidence-grounded.