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.
PFZ24E05_PFZ24E05
PFZ24E05_PFZ24E05 is a Labrador Retriever from the Shannon research cohort. One of 14,478 dogs who built the atlas.
See PFZ24E05_PFZ24E05 in the atlasPFZ24E05_PFZ24E05 is a strong genetic outlier within the Labrador Retriever cluster - among the most distinctive examples of their breed.
- Predicted giant 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 PFZ24E05_PFZ24E05's. Click any of them to keep exploring.
PFZ24E05_PFZ24E05 sits in the Labrador Retriever cluster, with genome overlap to 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.
- Labrador Retriever 78%
- Golden Retriever 23%
From the CanVAS (Shannon cohort) . Breed-page reference: Labrador Retriever.
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 3.401
z 3.422
The 3 PCs on which PFZ24E05_PFZ24E05 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr29:37,511,112 loading 0.0311
- chr15:28,326,342 loading -0.0273
- chr35:8,740,750 loading 0.0271
- chr3:7,389,779 loading 0.0444
- chr3:6,720,531 loading -0.0378
- chr3:6,392,552 loading -0.0378
- chr13:14,726,002 loading 0.0284
- chr3:61,769,626 loading 0.0269
- chr3:60,881,586 loading -0.0267