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_grlsBHCN3VPP
GRLS_grlsBHCN3VPP is a Golden Retriever from the GRLS research cohort. One of 14,478 dogs who built the atlas.
See GRLS_grlsBHCN3VPP in the atlasGRLS_grlsBHCN3VPP 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.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to GRLS_grlsBHCN3VPP's. Click any of them to keep exploring.
GRLS_grlsBHCN3VPP 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 77%
- Labrador Retriever 23%
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 10.720
z 4.963
The 3 PCs on which GRLS_grlsBHCN3VPP scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr11:38,528,765 loading 0.0255
- chr18:48,123,615 loading 0.0255
- chr15:30,849,502 loading 0.0253
- chr36:5,342,283 loading 0.0327
- chr3:69,391,244 loading 0.0300
- chr25:17,826,837 loading -0.0278
- chr29:17,473,726 loading 0.0315
- chr15:28,241,304 loading 0.0312
- chr15:31,725,606 loading 0.0272