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.
PILOT_grlsXRMCGIKK
PILOT_grlsXRMCGIKK is a Golden Retriever from the GRLS research cohort. One of 18,477 dogs in the atlas.
See PILOT_grlsXRMCGIKK in the atlasPILOT_grlsXRMCGIKK sits well inside the 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 PILOT_grlsXRMCGIKK's. Click any of them to keep exploring.
PILOT_grlsXRMCGIKK 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 10.012
z 8.429
The 3 PCs on which PILOT_grlsXRMCGIKK scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr14:37,146,317 loading 0.0319
- chr1:49,304,485 loading -0.0313
- chr1:61,522,946 loading -0.0291
- chr15:42,263,341 loading 0.0348
- chr18:11,175,691 loading -0.0320
- chr1:63,849,832 loading 0.0318
- chr3:37,847,773 loading 0.0404
- chr3:37,885,813 loading 0.0400
- chr3:38,305,313 loading 0.0391