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_grls1XUEQXNN
GRLS_grls1XUEQXNN is a Golden Retriever from the GRLS research cohort. One of 18,477 dogs in the atlas.
See GRLS_grls1XUEQXNN in the atlasGRLS_grls1XUEQXNN sits near the center of the Golden Retriever cluster - genetically very typical for the breed.
- Predicted giant 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_grls1XUEQXNN's. Click any of them to keep exploring.
GRLS_grls1XUEQXNN 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 83%
- Labrador Retriever 17%
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 10.434
z 8.774
The 3 PCs on which GRLS_grls1XUEQXNN scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr1:68,097,128 loading 0.0396
- chr1:69,785,342 loading -0.0385
- chr1:70,040,058 loading 0.0383
- chr25:40,121,397 loading 0.0326
- chr28:17,013,099 loading 0.0310
- chr26:15,170,564 loading 0.0302
- chr19:19,197,831 loading 0.0370
- chr1:99,774,502 loading -0.0342
- chr4:60,708,893 loading 0.0329