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.
PFZ30F11_PFZ30F11
PFZ30F11_PFZ30F11 is a Irish Wolfhound from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ30F11_PFZ30F11 in the atlasPFZ30F11_PFZ30F11 sits well inside the Irish Wolfhound cluster - a fairly typical example.
- Predicted large 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 PFZ30F11_PFZ30F11's. Click any of them to keep exploring.
PFZ30F11_PFZ30F11 sits in the Poodle cluster, with genome overlap to Belgian Shepherd - 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.
- Poodle 50%
- Belgian Shepherd 50%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Irish Wolfhound.
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 14.146
z -0.472
The 3 PCs on which PFZ30F11_PFZ30F11 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr1:24,578,804 loading 0.0240
- chr2:19,906,795 loading 0.0230
- chr13:51,091,794 loading 0.0227
- chr21:49,939,565 loading 0.0237
- chr6:69,385,669 loading 0.0231
- chr30:13,959,767 loading -0.0230
- chr17:45,883,815 loading 0.0290
- chr17:6,654,333 loading 0.0283
- chr34:27,183,296 loading 0.0282