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.
PG14_PG14
PG14_PG14 is labelled Village Dog Papua New Guinea Port Moresby in the Hayward2016 cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See PG14_PG14 in the atlasPG14_PG14 sits well inside the Village Dog Papua New Guinea Port Moresby cluster - a fairly typical example.
- Predicted large 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 PG14_PG14's. Click any of them to keep exploring.
PG14_PG14's genome decomposes mostly into Belgian Shepherd, with additional weight on 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.
- Belgian Shepherd 71%
- Golden Retriever 30%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Village Dog Papua New Guinea Port Moresby.
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 2.442
z 2.329
The 3 PCs on which PG14_PG14 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr19:11,721,356 loading 0.0330
- chr20:8,205,745 loading 0.0329
- chr25:2,138,835 loading -0.0328
- chr13:1,840,654 loading 0.0379
- chr19:3,379,845 loading -0.0360
- chr26:3,121,537 loading -0.0358
- chr13:7,517,248 loading 0.0370
- chr13:1,243,516 loading -0.0357
- chr3:3,383,464 loading 0.0349