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.
1356_1356
1356_1356 is a Labrador Retriever from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See 1356_1356 in the atlas1356_1356 is a strong genetic outlier within the Labrador 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).
- Carries both copies of the FGF4 chondrodysplasia retrogene - the short-leg variant in Dachshund, Pembroke Corgi, Basset Hound.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to 1356_1356's. Click any of them to keep exploring.
1356_1356 sits in the Labrador Retriever cluster, with genome overlap to Golden 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.
- Labrador Retriever 77%
- Golden Retriever 23%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Labrador 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 0.767
z 8.312
The 3 PCs on which 1356_1356 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr26:7,428,484 loading 0.0355
- chr21:3,789,149 loading 0.0351
- chr4:1,268,630 loading 0.0319
- chr21:8,227,069 loading 0.0376
- chr16:47,900,123 loading 0.0333
- chr1:24,270,460 loading 0.0312
- chr17:4,173,842 loading 0.0340
- chr34:2,125,452 loading 0.0333
- chr17:4,128,965 loading 0.0327