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.
PFZ30G07_PFZ30G07
PFZ30G07_PFZ30G07 is a Irish Wolfhound from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ30G07_PFZ30G07 in the atlasPFZ30G07_PFZ30G07 is a strong genetic outlier within the Irish Wolfhound cluster - among the most distinctive examples of their breed.
- Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ30G07_PFZ30G07's. Click any of them to keep exploring.
PFZ30G07_PFZ30G07 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 51%
- Belgian Shepherd 49%
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 14.145
z -1.319
The 3 PCs on which PFZ30G07_PFZ30G07 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr7:42,690,827 loading 0.0435
- chr21:34,428,857 loading -0.0342
- chr34:4,429,712 loading -0.0326
- chr1:24,578,804 loading 0.0240
- chr2:19,906,795 loading 0.0230
- chr13:51,091,794 loading 0.0227
- chr1:73,451,600 loading 0.0356
- chr1:69,785,342 loading 0.0343
- chr18:18,333,364 loading 0.0329