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.
BMAL_BMAL_39E06
BMAL_BMAL_39E06 is a Belgian Malinois from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See BMAL_BMAL_39E06 in the atlasBMAL_BMAL_39E06 sits near the center of the Belgian Malinois cluster - genetically very typical for the breed.
- Predicted giant 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 BMAL_BMAL_39E06's. Click any of them to keep exploring.
BMAL_BMAL_39E06 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.
- Belgian Shepherd 53%
- Labrador Retriever 28%
- Golden Retriever 19%
From the CanVAS (Spatola cohort) . Breed-page reference: Belgian Malinois.
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 5.024
z 5.144
The 3 PCs on which BMAL_BMAL_39E06 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr19:11,652,672 loading 0.0365
- chr13:13,884,830 loading -0.0338
- chr3:70,346,120 loading -0.0302
- chr7:62,094,557 loading 0.0330
- chr17:4,233,511 loading -0.0324
- chr28:21,567,516 loading 0.0320
- chr17:4,173,842 loading 0.0377
- chr17:4,128,965 loading 0.0376
- chr17:4,233,511 loading 0.0366