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.
PFZ43H08_PFZ43H08
PFZ43H08_PFZ43H08 is a Miniature Pinscher from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ43H08_PFZ43H08 in the atlasPFZ43H08_PFZ43H08 is a strong genetic outlier within the Miniature Pinscher cluster - among the most distinctive examples of their breed.
- Predicted small by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to PFZ43H08_PFZ43H08's. Click any of them to keep exploring.
PFZ43H08_PFZ43H08 sits in the Miniature Pinscher 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.
- Miniature Pinscher 88%
- Golden Retriever 12%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Miniature Pinscher.
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 1.367
z 2.159
The 3 PCs on which PFZ43H08_PFZ43H08 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr5:75,426,581 loading 0.0352
- chr23:35,872,989 loading -0.0350
- chr16:38,943,549 loading -0.0346
- chr24:13,342,362 loading 0.0352
- chr3:60,753,270 loading -0.0318
- chr6:19,557,398 loading 0.0285
- chr7:44,608,561 loading 0.0331
- chr11:69,439,722 loading 0.0324
- chr1:66,792,676 loading 0.0313