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.
cHD8_304_cHD8_304
cHD8_304_cHD8_304 is a Belgian Shepherd from the Momozawa research cohort. One of 14,478 dogs who built the atlas.
See cHD8_304_cHD8_304 in the atlascHD8_304_cHD8_304 sits at the edge of the Belgian Shepherd cluster but still well within it.
- Predicted large 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.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to cHD8_304_cHD8_304's. Click any of them to keep exploring.
cHD8_304_cHD8_304 sits in the Belgian Shepherd 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.
From the CanVAS (Momozawa cohort) . Breed-page reference: Belgian Shepherd.
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 -2.589
z -7.560
The 3 PCs on which cHD8_304_cHD8_304 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr24:18,163,261 loading 0.0310
- chr24:18,269,351 loading 0.0309
- chr30:31,795,690 loading 0.0303
- chr23:20,231,163 loading 0.0295
- chr22:42,651,822 loading -0.0294
- chr27:39,738,665 loading 0.0291
- chr38:19,205,467 loading 0.0283
- chr22:8,222,365 loading 0.0280
- chr29:3,059,812 loading 0.0271