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_grlsR1LFJ077
GRLS_grlsR1LFJ077 is a Golden Retriever from the GRLS research cohort. One of 18,477 dogs in the atlas.
See GRLS_grlsR1LFJ077 in the atlasGRLS_grlsR1LFJ077 is a strong genetic outlier within the Golden Retriever cluster - among the most distinctive examples of their breed.
- Predicted medium 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_grlsR1LFJ077's. Click any of them to keep exploring.
GRLS_grlsR1LFJ077 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 76%
- Labrador Retriever 24%
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 10.414
z 7.947
The 3 PCs on which GRLS_grlsR1LFJ077 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr10:7,000,030 loading 0.0335
- chr10:4,826,260 loading -0.0333
- chr23:15,561,811 loading -0.0321
- chr28:11,007,373 loading 0.0365
- chr28:5,497,677 loading 0.0343
- chr7:43,226,466 loading 0.0325
- chr17:4,173,842 loading 0.0340
- chr34:2,125,452 loading 0.0333
- chr17:4,128,965 loading 0.0327