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.
GRLS_grlsH2QK8KK
GRLS_grlsH2QK8KK is a Golden Retriever from the GRLS research cohort. One of 14,478 dogs who built the atlas.
See GRLS_grlsH2QK8KK in the atlasGRLS_grlsH2QK8KK sits near the center of the Golden Retriever cluster - genetically very typical for the breed.
- Predicted small 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 GRLS_grlsH2QK8KK's. Click any of them to keep exploring.
GRLS_grlsH2QK8KK 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.
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 10.481
z 7.831
The 3 PCs on which GRLS_grlsH2QK8KK scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr1:59,737,356 loading 0.0423
- chr1:75,169,464 loading -0.0418
- chr1:72,831,562 loading 0.0412
- chr23:37,382,588 loading 0.0307
- chr7:21,991,064 loading -0.0305
- chr6:50,176,215 loading 0.0304
- chr23:3,426,742 loading 0.0355
- chr23:3,756,166 loading 0.0335
- chr4:38,305,840 loading 0.0333