AI portrait
This portrait was algorithmically built from this dog's genome: their genotype at 8 morphology loci (coat length, curl, color, ear set, body size, head shape, skull, furnishings) plus their position within the 14,478-dog atlas. The same dog always reproduces the same portrait. A different dog with different alleles gets a different portrait.
PBGV_PBGV_14506
PBGV_PBGV_14506 is a Petit Basset Griffon Vendeen from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See PBGV_PBGV_14506 in the atlasPBGV_PBGV_14506 sits well inside the Petit Basset Griffon Vendeen cluster - a fairly typical example.
- Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries both copies of the FGF4 chondrodysplasia retrogene - the short-leg variant in Dachshund, Pembroke Corgi, Basset Hound.
The five dogs in the atlas whose genomes sit closest to PBGV_PBGV_14506's. Click any of them to keep exploring.
PBGV_PBGV_14506 sits in the Labrador Retriever cluster, with genome overlap to Golden Retriever - sister breeds nearby in the atlas.
Breed similarity from non-negative least squares against 91 breed centroids in PCA-256 space, corrected for atlas sample-size imbalance. Without correction, Goldens (22% of the atlas) leak into every dog's raw NNLS breakdown; with it, the bias falls out. Raw fractions stay in the dataset for re-derivation. Methodology.
- Labrador Retriever 55%
- Golden Retriever 45%
From the CanVAS (Spatola cohort) . Breed-page reference: Petit Basset Griffon Vendeen.
Full genotype detail click to expand
The actual allele call at each locus's representative SNP for this dog. Each gene name links to its page where you can see the per-breed frequency table and the direction of effect.
Technical details click to expand
The numbers behind the placement. Useful for researchers reproducing the math or debugging an unexpected position; not interesting to most readers.
y -2.153
z 4.603
The 3 PCs on which PBGV_PBGV_14506 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr25:40,121,397 loading 0.0326
- chr28:17,013,099 loading 0.0310
- chr26:15,170,564 loading 0.0302
- chr3:37,847,773 loading 0.0404
- chr3:37,885,813 loading 0.0400
- chr3:38,305,313 loading 0.0391
- chr17:4,173,842 loading 0.0377
- chr17:4,128,965 loading 0.0376
- chr17:4,233,511 loading 0.0366