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.
PFZ34H08_PFZ34H08
PFZ34H08_PFZ34H08 is a Lhasa Apso from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ34H08_PFZ34H08 in the atlasPFZ34H08_PFZ34H08 sits well inside the Lhasa Apso cluster - a fairly typical example.
- 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 PFZ34H08_PFZ34H08's. Click any of them to keep exploring.
PFZ34H08_PFZ34H08 sits in the Lhasa Apso 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.
- Lhasa Apso 45%
- Golden Retriever 30%
- Labrador Retriever 25%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Lhasa Apso.
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 3.049
z 2.834
The 3 PCs on which PFZ34H08_PFZ34H08 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr2:79,935,004 loading 0.0311
- chr4:63,750,215 loading -0.0309
- chr11:23,826,298 loading 0.0301
- chr30:33,900,950 loading 0.0365
- chr1:31,256,526 loading 0.0299
- chr28:38,109,009 loading 0.0284
- chr11:47,398,568 loading 0.0283
- chr13:20,879,550 loading -0.0282
- chr14:35,441,828 loading -0.0282