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.
PFZ36A06_PFZ36A06
PFZ36A06_PFZ36A06 is a Yorkshire Terrier from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ36A06_PFZ36A06 in the atlasPFZ36A06_PFZ36A06 sits well inside the Yorkshire Terrier cluster - a fairly typical example.
- Predicted small 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 PFZ36A06_PFZ36A06's. Click any of them to keep exploring.
PFZ36A06_PFZ36A06 sits in the Yorkshire Terrier cluster, with genome overlap to 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.
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Yorkshire 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 -2.888
z 0.609
The 3 PCs on which PFZ36A06_PFZ36A06 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr2:9,971,173 loading 0.0294
- chr24:32,514,754 loading -0.0259
- chr24:20,979,390 loading -0.0251
- chr12:3,203,806 loading 0.0259
- chr13:8,570,429 loading -0.0258
- chr3:39,845,469 loading 0.0255
- chr1:69,957,534 loading 0.0427
- chr1:71,051,715 loading -0.0398
- chr1:70,040,058 loading 0.0385