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.
PFZ16H12_PFZ16H12
PFZ16H12_PFZ16H12 is a Greater Swiss Mountain Dog from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ16H12_PFZ16H12 in the atlasPFZ16H12_PFZ16H12 sits at the edge of the Greater Swiss Mountain Dog cluster but still well within it.
- Predicted giant 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.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ16H12_PFZ16H12's. Click any of them to keep exploring.
PFZ16H12_PFZ16H12 sits in the Bernese Mountain Dog 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.
- Bernese Mountain Dog 77%
- Golden Retriever 23%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Greater Swiss Mountain Dog.
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 -1.671
z 13.115
The 3 PCs on which PFZ16H12_PFZ16H12 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr7:44,608,561 loading 0.0331
- chr11:69,439,722 loading 0.0324
- chr1:66,792,676 loading 0.0313
- chr22:4,235,154 loading 0.0445
- chr22:1,892,165 loading 0.0429
- chr22:1,969,643 loading 0.0425
- chr5:75,426,581 loading 0.0352
- chr23:35,872,989 loading -0.0350
- chr16:38,943,549 loading -0.0346