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.
PFZ22B06_PFZ22B06
PFZ22B06_PFZ22B06 is a Mix from the Shannon research cohort. One of 14,478 dogs who built the atlas.
See PFZ22B06_PFZ22B06 in the atlasPFZ22B06_PFZ22B06 sits near the center of the Mix cluster - genetically very typical for the breed.
- 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 PFZ22B06_PFZ22B06's. Click any of them to keep exploring.
PFZ22B06_PFZ22B06 sits in the German Shepherd cluster, with genome overlap to Golden Retriever, and Labrador 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.
- German Shepherd 53%
- Golden Retriever 24%
- Labrador Retriever 23%
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 2.218
z 2.242
The 3 PCs on which PFZ22B06_PFZ22B06 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr23:37,041,440 loading 0.0347
- chr1:100,944,840 loading 0.0344
- chr1:101,382,836 loading -0.0320
- chr28:5,497,677 loading 0.0416
- chr28:5,428,661 loading 0.0337
- chr20:7,134,018 loading 0.0323
- chr34:3,531,310 loading 0.0341
- chr34:3,128,578 loading -0.0327
- chr4:57,360,298 loading -0.0326