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.
PFZ9G08_PFZ9G08
PFZ9G08_PFZ9G08 is a Rottweiler from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ9G08_PFZ9G08 in the atlasPFZ9G08_PFZ9G08 sits near the center of the Rottweiler cluster - genetically very typical for the breed.
- Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ9G08_PFZ9G08's. Click any of them to keep exploring.
PFZ9G08_PFZ9G08 sits in the Rottweiler 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.
- Rottweiler 88%
- Labrador Retriever 7%
- Golden Retriever 5%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Rottweiler.
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 9.102
z -2.778
The 3 PCs on which PFZ9G08_PFZ9G08 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr12:3,203,806 loading 0.0259
- chr13:8,570,429 loading -0.0258
- chr3:39,845,469 loading 0.0255
- chr6:60,987,558 loading 0.0302
- chr18:25,790,852 loading 0.0293
- chr14:14,074,192 loading -0.0293
- chr22:2,473,315 loading 0.0460
- chr22:2,231,766 loading 0.0451
- chr22:2,271,992 loading 0.0447