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_grls0D3MFXFF
PILOT_grls0D3MFXFF is a Golden Retriever from the GRLS research cohort. One of 14,478 dogs who built the atlas.
See PILOT_grls0D3MFXFF in the atlasPILOT_grls0D3MFXFF 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.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to PILOT_grls0D3MFXFF's. Click any of them to keep exploring.
PILOT_grls0D3MFXFF 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 76%
- Labrador Retriever 24%
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 11.556
z 7.999
The 3 PCs on which PILOT_grls0D3MFXFF 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
- chr1:102,829,549 loading 0.0371
- chr8:40,351,665 loading 0.0356
- chr1:70,953,125 loading 0.0339
- chr27:43,803,988 loading 0.0373
- chr12:19,514,576 loading 0.0344
- chr20:11,758,428 loading -0.0328