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.
PFZ14F10_PFZ14F10
PFZ14F10_PFZ14F10 is a Dachshund from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ14F10_PFZ14F10 in the atlasPFZ14F10_PFZ14F10 sits well inside the Dachshund cluster - a fairly typical example.
- Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries both copies of the FGF4 chondrodysplasia retrogene - the short-leg variant in Dachshund, Pembroke Corgi, Basset Hound.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ14F10_PFZ14F10's. Click any of them to keep exploring.
PFZ14F10_PFZ14F10 sits in the Dachshund 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.
- Dachshund 85%
- Labrador Retriever 8%
- Golden Retriever 7%
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 -2.491
z 2.821
The 3 PCs on which PFZ14F10_PFZ14F10 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr14:22,119,741 loading 0.0316
- chr5:79,283,975 loading -0.0300
- chr5:64,357,114 loading -0.0296
- chr22:2,367,358 loading 0.0405
- chr22:5,622,508 loading -0.0403
- chr22:4,235,154 loading -0.0403
- chr22:28,989,668 loading 0.0410
- chr22:28,783,539 loading -0.0357
- chr19:1,162,032 loading 0.0337