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.
ECKR_CoS_00GT93
ECKR_CoS_00GT93 is a English Cocker Spaniel from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See ECKR_CoS_00GT93 in the atlasECKR_CoS_00GT93 is a strong genetic outlier within the English Cocker Spaniel cluster - among the most distinctive examples of their 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 ECKR_CoS_00GT93's. Click any of them to keep exploring.
ECKR_CoS_00GT93 sits in the English Cocker Spaniel cluster, with genome overlap to Labrador Retriever, and Golden 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.
- English Cocker Spaniel 59%
- Labrador Retriever 24%
- Golden Retriever 18%
From the CanVAS (Spatola cohort) . Breed-page reference: English Cocker Spaniel.
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 5.259
z 4.675
The 3 PCs on which ECKR_CoS_00GT93 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr26:5,045,393 loading 0.0400
- chr26:4,196,092 loading -0.0355
- chr26:4,873,718 loading -0.0344
- chr19:2,539,757 loading 0.0344
- chr3:6,392,552 loading -0.0326
- chr6:16,157,160 loading 0.0301
- chr7:40,535,333 loading 0.0363
- chr7:41,489,243 loading 0.0356
- chr15:32,204,502 loading 0.0340