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.
PFZ33B06_PFZ33B06
PFZ33B06_PFZ33B06 is a Jack Russell Terrier from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ33B06_PFZ33B06 in the atlasPFZ33B06_PFZ33B06 sits at the edge of the Jack Russell Terrier cluster but still well within it.
- Predicted small by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ33B06_PFZ33B06's. Click any of them to keep exploring.
PFZ33B06_PFZ33B06 sits in the Jack Russell Terrier 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.
- Jack Russell Terrier 78%
- Golden Retriever 12%
- Labrador Retriever 10%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Jack Russell Terrier.
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 1.196
z 2.307
The 3 PCs on which PFZ33B06_PFZ33B06 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr12:60,458,843 loading 0.0369
- chr13:14,089,127 loading 0.0363
- chr34:29,222,122 loading -0.0309
- chr23:37,041,440 loading 0.0347
- chr1:100,944,840 loading 0.0344
- chr1:101,382,836 loading -0.0320
- chr19:16,549,845 loading 0.0354
- chr28:2,607,542 loading -0.0326
- chr28:1,724,663 loading 0.0325