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.
cHD10_472_cHD10_472
cHD10_472_cHD10_472 is labelled Labrador Or Golden Retriever in the Biasoli cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See cHD10_472_cHD10_472 in the atlascHD10_472_cHD10_472 sits well inside the Labrador Or Golden Retriever cluster - a fairly typical example.
- 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 cHD10_472_cHD10_472's. Click any of them to keep exploring.
cHD10_472_cHD10_472's genome decomposes mostly into Labrador Retriever, with additional weight on Golden 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.
- Labrador Retriever 78%
- Golden Retriever 23%
From the CanVAS (Biasoli cohort) . Breed-page reference: Labrador Or Golden Retriever.
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 0.607
z 7.348
The 3 PCs on which cHD10_472_cHD10_472 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr19:19,197,831 loading 0.0370
- chr1:99,774,502 loading -0.0342
- chr4:60,708,893 loading 0.0329
- chr5:7,618,997 loading 0.0371
- chr18:10,714,022 loading 0.0318
- chr25:27,400,046 loading 0.0312
- chr7:21,167,050 loading 0.0346
- chr25:32,919,094 loading 0.0335
- chr7:21,698,587 loading 0.0335