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.
PFZ32C10_PFZ32C10
PFZ32C10_PFZ32C10 is a Dachshund from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ32C10_PFZ32C10 in the atlasPFZ32C10_PFZ32C10 sits near the center of the Dachshund cluster - genetically very typical for the breed.
- 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 PFZ32C10_PFZ32C10's. Click any of them to keep exploring.
PFZ32C10_PFZ32C10 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 87%
- Labrador Retriever 8%
- Golden Retriever 6%
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 -2.411
z 2.923
The 3 PCs on which PFZ32C10_PFZ32C10 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
- chr36:18,815,377 loading 0.0327
- chr5:64,065,611 loading -0.0306
- chr12:41,906,189 loading 0.0276