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.
cHD15_82_cHD15_82
cHD15_82_cHD15_82 is labelled Labrador Or Golden Retriever in the Biasoli cohort - a catch-all CanVAS label, not a literal ancestry call. One of 18,477 dogs in the atlas.
See cHD15_82_cHD15_82 in the atlascHD15_82_cHD15_82 is a strong genetic outlier within the Labrador Or Golden Retriever 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).
- 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 cHD15_82_cHD15_82's. Click any of them to keep exploring.
cHD15_82_cHD15_82's genome decomposes mostly into Golden Retriever, with additional weight on Labrador Retriever.
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 81%
- Labrador Retriever 19%
From the CanVAS (Biasoli cohort) . Breed-page reference: Labrador Or 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 11.604
z 7.946
The 3 PCs on which cHD15_82_cHD15_82 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
- chr18:2,884,545 loading 0.0378
- chr18:2,790,632 loading -0.0346
- chr19:17,007,564 loading -0.0346
- chr25:3,195,036 loading 0.0485
- chr25:4,418,784 loading -0.0459
- chr25:3,349,555 loading 0.0401