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.
GRLS_grlsP2Y0WRFF
GRLS_grlsP2Y0WRFF is a Golden Retriever from the GRLS research cohort. One of 18,477 dogs in the atlas.
See GRLS_grlsP2Y0WRFF in the atlasGRLS_grlsP2Y0WRFF 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.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to GRLS_grlsP2Y0WRFF's. Click any of them to keep exploring.
GRLS_grlsP2Y0WRFF 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 82%
- Labrador Retriever 18%
From the Golden Retriever Lifetime Study . 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 10.820
z 8.258
The 3 PCs on which GRLS_grlsP2Y0WRFF scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr28:2,607,542 loading 0.0337
- chr6:55,527,821 loading 0.0334
- chr28:36,111,093 loading -0.0311
- chr21:19,144,029 loading 0.0303
- chr13:28,713,034 loading -0.0303
- chr15:5,912,708 loading 0.0300
- chr4:83,381,939 loading 0.0343
- chr10:64,946,466 loading 0.0322
- chr30:24,029,755 loading -0.0321