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.
cHD11_151_cHD11_151
cHD11_151_cHD11_151 is a Labrador Retriever from the Momozawa research cohort. One of 14,478 dogs who built the atlas.
See cHD11_151_cHD11_151 in the atlascHD11_151_cHD11_151 sits well inside the Labrador Retriever cluster - a fairly typical example.
- Predicted medium 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 cHD11_151_cHD11_151's. Click any of them to keep exploring.
cHD11_151_cHD11_151 sits in the Labrador Retriever cluster, with genome overlap to 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.
- Labrador Retriever 78%
- Golden Retriever 22%
From the CanVAS (Momozawa cohort) . Breed-page reference: Labrador Retriever.
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 0.216
z 8.021
The 3 PCs on which cHD11_151_cHD11_151 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr6:50,750,182 loading 0.0295
- chr6:65,585,567 loading 0.0275
- chr1:14,618,344 loading 0.0264
- chr32:5,376,122 loading 0.0244
- chr22:41,669,426 loading -0.0232
- chr9:23,202,173 loading 0.0228
- chr8:33,499,010 loading 0.0341
- chr6:30,409,356 loading -0.0338
- chr34:15,382,542 loading -0.0330