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.
PFZ11B06_PFZ11B06
PFZ11B06_PFZ11B06 is a Boston Terrier from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ11B06_PFZ11B06 in the atlasPFZ11B06_PFZ11B06 sits near the center of the Boston Terrier cluster - genetically very typical for the breed.
- Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to PFZ11B06_PFZ11B06's. Click any of them to keep exploring.
PFZ11B06_PFZ11B06 sits in the Boston 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.
- Boston Terrier 85%
- Golden Retriever 9%
- Labrador Retriever 6%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Boston 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 12.187
z 4.315
The 3 PCs on which PFZ11B06_PFZ11B06 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr1:74,476,966 loading 0.0401
- chr1:74,547,137 loading -0.0372
- chr1:74,609,719 loading 0.0354
- chr10:6,497,921 loading 0.0390
- chr3:5,565,848 loading -0.0351
- chr3:6,720,531 loading 0.0336
- chr7:42,690,827 loading 0.0435
- chr21:34,428,857 loading -0.0342
- chr34:4,429,712 loading -0.0326