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.
cHD5_368_cHD5_368
cHD5_368_cHD5_368 is a Giant Schnauzer from the Bianchi research cohort. One of 14,478 dogs who built the atlas.
See cHD5_368_cHD5_368 in the atlascHD5_368_cHD5_368 sits well inside the Giant Schnauzer cluster - a fairly typical example.
- Predicted giant 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 cHD5_368_cHD5_368's. Click any of them to keep exploring.
cHD5_368_cHD5_368 sits in the Giant Schnauzer cluster, with genome overlap to 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.
From the CanVAS (Bianchi cohort) . Breed-page reference: Giant Schnauzer.
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 -1.391
z -9.025
The 3 PCs on which cHD5_368_cHD5_368 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
- chr5:76,272,702 loading 0.0268
- chr15:24,890,350 loading -0.0263
- chr4:32,151,890 loading 0.0256