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.
MSNZ_MSNZ_07672
MSNZ_MSNZ_07672 is labelled Village Dog Nz Mid in the Spatola cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See MSNZ_MSNZ_07672 in the atlasMSNZ_MSNZ_07672 sits well inside the Village Dog Nz Mid 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.
The five dogs in the atlas whose genomes sit closest to MSNZ_MSNZ_07672's. Click any of them to keep exploring.
MSNZ_MSNZ_07672's genome decomposes mostly into Miniature Schnauzer, with additional weight on Labrador Retriever, and Golden Retriever.
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.
From the CanVAS (Spatola cohort) . Breed-page reference: Village Dog Nz Mid.
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 -2.933
z 7.448
The 3 PCs on which MSNZ_MSNZ_07672 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr14:38,750,828 loading 0.0251
- chr13:12,818,239 loading 0.0246
- chr14:35,144,168 loading 0.0243
- chr35:14,154,465 loading 0.0292
- chr12:39,598,521 loading 0.0284
- chr13:8,570,429 loading -0.0283
- chr12:64,188,765 loading 0.0337
- chr23:18,821,315 loading -0.0287
- chr4:53,307,196 loading -0.0287