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_LU616_GoS_LU616
GoS_LU616_GoS_LU616 is a Gordon Setter from the Shannon research cohort. One of 14,478 dogs who built the atlas.
See GoS_LU616_GoS_LU616 in the atlasGoS_LU616_GoS_LU616 sits near the center of the Gordon Setter 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.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to GoS_LU616_GoS_LU616's. Click any of them to keep exploring.
GoS_LU616_GoS_LU616 sits in the Gordon Setter cluster, with genome overlap to Labrador Retriever, and 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.
- Gordon Setter 84%
- Labrador Retriever 8%
- Golden Retriever 8%
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 4.206
z -7.032
The 3 PCs on which GoS_LU616_GoS_LU616 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr24:21,414,064 loading 0.0303
- chr22:46,871,951 loading -0.0285
- chr34:8,498,060 loading -0.0284
- chr11:65,244,979 loading 0.0313
- chr10:12,765,718 loading 0.0280
- chr11:69,039,615 loading 0.0272
- chr4:50,564,575 loading 0.0345
- chr20:9,086,763 loading 0.0319
- chr15:1,031,002 loading -0.0297