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.
PFZ15D09_PFZ15D09
PFZ15D09_PFZ15D09 is a Australian Cattle Dog from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ15D09_PFZ15D09 in the atlasPFZ15D09_PFZ15D09 is a notable Australian Cattle Dog - distinctive within the breed.
- Predicted small by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to PFZ15D09_PFZ15D09's. Click any of them to keep exploring.
PFZ15D09_PFZ15D09 sits in the Australian Cattle Dog cluster, with genome overlap to Border Collie, 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.
- Australian Cattle Dog 55%
- Border Collie 27%
- Golden Retriever 11%
- Labrador Retriever 8%
From the CanVAS (Hayward2016 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 -3.466
z 0.108
The 3 PCs on which PFZ15D09_PFZ15D09 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr13:14,726,002 loading 0.0284
- chr3:61,769,626 loading 0.0269
- chr3:60,881,586 loading -0.0267
- chr36:5,342,283 loading 0.0327
- chr3:69,391,244 loading 0.0300
- chr25:17,826,837 loading -0.0278
- chr29:17,473,726 loading 0.0315
- chr15:28,241,304 loading 0.0312
- chr15:31,725,606 loading 0.0272