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.
PFZ16H08_PFZ16H08
PFZ16H08_PFZ16H08 is a Havanese from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ16H08_PFZ16H08 in the atlasPFZ16H08_PFZ16H08 sits near the center of the Havanese cluster - genetically very typical for the breed.
- Predicted small 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 PFZ16H08_PFZ16H08's. Click any of them to keep exploring.
PFZ16H08_PFZ16H08 sits in the Havanese 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.
- Havanese 87%
- Labrador Retriever 7%
- 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 2.231
z -2.139
The 3 PCs on which PFZ16H08_PFZ16H08 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr4:1,519,291 loading 0.0346
- chr4:1,791,116 loading 0.0333
- chr4:1,268,630 loading 0.0330
- chr22:1,635,288 loading 0.0319
- chr13:9,677,426 loading 0.0297
- chr7:41,071,296 loading 0.0289
- chr22:4,235,154 loading 0.0445
- chr22:1,892,165 loading 0.0429
- chr22:1,969,643 loading 0.0425