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.
ACD_cd229
ACD_cd229 is a Australian Cattle Dog from the Cairns research cohort. One of 14,478 dogs who built the atlas.
See ACD_cd229 in the atlasACD_cd229 is a strong genetic outlier within the Australian Cattle Dog 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).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to ACD_cd229's. Click any of them to keep exploring.
ACD_cd229 sits in the Australian Cattle Dog 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.
- Australian Cattle Dog 69%
- Labrador Retriever 17%
- Golden Retriever 14%
From the CanVAS (Cairns cohort) . Breed-page reference: Australian Cattle Dog.
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 17.641
z 4.580
The 3 PCs on which ACD_cd229 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr29:21,886,817 loading 0.0283
- chr32:36,857,898 loading -0.0278
- chr37:28,513,334 loading -0.0274
- chr21:49,887,138 loading 0.0323
- chr14:48,394,398 loading -0.0308
- chr32:37,683,789 loading -0.0274
- chr22:1,996,400 loading 0.0303
- chr22:2,231,766 loading 0.0280
- chr22:3,165,486 loading 0.0275