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.
GoS_LU639_GoS_LU639
GoS_LU639_GoS_LU639 is a Gordon Setter from the Shannon research cohort. One of 14,478 dogs who built the atlas.
See GoS_LU639_GoS_LU639 in the atlasGoS_LU639_GoS_LU639 is a strong genetic outlier within the Gordon Setter cluster - among the most distinctive examples of their 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 GoS_LU639_GoS_LU639's. Click any of them to keep exploring.
GoS_LU639_GoS_LU639 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 56%
- Labrador Retriever 44%
From the CanVAS (Shannon cohort) . Breed-page reference: Gordon Setter.
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 3.958
z 3.453
The 3 PCs on which GoS_LU639_GoS_LU639 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr3:66,859,090 loading 0.0315
- chr5:34,597,402 loading -0.0299
- chr10:40,957,281 loading -0.0291
- chr28:326,614 loading 0.0378
- chr2:50,919,591 loading 0.0372
- chr28:1,791,942 loading -0.0335
- chr28:5,497,677 loading 0.0416
- chr28:5,428,661 loading 0.0337
- chr20:7,134,018 loading 0.0323