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.
LAD006_LAD006
LAD006_LAD006 is a Bull Terrier from the Shannon research cohort. One of 14,478 dogs who built the atlas.
See LAD006_LAD006 in the atlasLAD006_LAD006 sits well inside the Bull Terrier cluster - a fairly typical example.
- Predicted small 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 LAD006_LAD006's. Click any of them to keep exploring.
LAD006_LAD006 sits in the Bull Terrier cluster, with genome overlap to Golden Retriever, and 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.
- Bull Terrier 88%
- Golden Retriever 7%
- Labrador Retriever 5%
From the CanVAS (Shannon cohort) . Breed-page reference: Bull Terrier.
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 -3.192
z -3.880
The 3 PCs on which LAD006_LAD006 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr16:28,065,128 loading 0.0285
- chr3:86,866,407 loading 0.0280
- chr28:24,079,223 loading 0.0272
- chr29:37,511,112 loading 0.0311
- chr15:28,326,342 loading -0.0273
- chr35:8,740,750 loading 0.0271
- chr1:102,240,612 loading 0.0273
- chr5:54,742,971 loading 0.0258
- chr22:42,777,787 loading 0.0256