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.
Oldies_grls1e84765d
Oldies_grls1e84765d is a Golden Retriever from the GRLS research cohort. One of 14,478 dogs who built the atlas.
See Oldies_grls1e84765d in the atlasOldies_grls1e84765d sits near the center of the Golden Retriever cluster - genetically very typical for the breed.
- Predicted large 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 Oldies_grls1e84765d's. Click any of them to keep exploring.
Oldies_grls1e84765d 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 11.023
z 7.842
The 3 PCs on which Oldies_grls1e84765d scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr17:4,173,842 loading 0.0377
- chr17:4,128,965 loading 0.0376
- chr17:4,233,511 loading 0.0366
- chr36:5,342,283 loading 0.0327
- chr3:69,391,244 loading 0.0300
- chr25:17,826,837 loading -0.0278
- chr6:30,830,915 loading 0.0329
- chr1:22,842,587 loading 0.0316
- chr7:61,438,680 loading -0.0291