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.
PILOT_grls4IH8IF22
PILOT_grls4IH8IF22 is a Golden Retriever from the GRLS research cohort. One of 14,478 dogs who built the atlas.
See PILOT_grls4IH8IF22 in the atlasPILOT_grls4IH8IF22 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).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to PILOT_grls4IH8IF22's. Click any of them to keep exploring.
PILOT_grls4IH8IF22 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 81%
- Labrador Retriever 19%
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 11.256
z 8.094
The 3 PCs on which PILOT_grls4IH8IF22 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr28:11,007,373 loading 0.0365
- chr28:5,497,677 loading 0.0343
- chr7:43,226,466 loading 0.0325
- chr1:74,476,966 loading 0.0401
- chr1:74,547,137 loading -0.0372
- chr1:74,609,719 loading 0.0354
- chr25:28,621,324 loading 0.0364
- chr20:11,911,649 loading 0.0323
- chr20:7,517,267 loading -0.0311