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 CanVAS Founder atlas. The same dog always reproduces the same portrait. A different dog with different alleles gets a different portrait.
GRe_GT222_GRe_GT222
GRe_GT222_GRe_GT222 is a Golden Retriever from the Shannon research cohort. One of 18,477 dogs in the atlas.
See GRe_GT222_GRe_GT222 in the atlasGRe_GT222_GRe_GT222 sits near the center of the Golden Retriever cluster - genetically very typical for the breed.
- Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to GRe_GT222_GRe_GT222's. Click any of them to keep exploring.
GRe_GT222_GRe_GT222 sits in the Golden Retriever 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.
- Golden Retriever 79%
- Labrador Retriever 21%
From the CanVAS (Shannon cohort) . Breed-page reference: Golden Retriever.
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 11.399
z 8.032
The 3 PCs on which GRe_GT222_GRe_GT222 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr28:11,007,373 loading 0.0365
- chr28:5,497,677 loading 0.0343
- chr7:43,226,466 loading 0.0325
- chr29:25,388,461 loading 0.0320
- chr9:34,293,305 loading 0.0320
- chr6:50,176,215 loading 0.0305
- chr9:17,840,166 loading 0.0300
- chr9:50,441,577 loading 0.0297
- chr15:28,843,971 loading -0.0296