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.
F6-HUC8-FEMALE-5611_F6-HUC8-FEMALE-5611
F6-HUC8-FEMALE-5611_F6-HUC8-FEMALE-5611 is a Boxer from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See F6-HUC8-FEMALE-5611_F6-HUC8-FEMALE-5611 in the atlasF6-HUC8-FEMALE-5611_F6-HUC8-FEMALE-5611 sits well inside the Boxer cluster - a fairly typical example.
- Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to F6-HUC8-FEMALE-5611_F6-HUC8-FEMALE-5611's. Click any of them to keep exploring.
F6-HUC8-FEMALE-5611_F6-HUC8-FEMALE-5611 sits in the Boxer 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.
- Boxer 95%
- Labrador Retriever 6%
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 0.274
z -1.526
The 3 PCs on which F6-HUC8-FEMALE-5611_F6-HUC8-FEMALE-5611 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr21:49,939,565 loading 0.0237
- chr6:69,385,669 loading 0.0231
- chr30:13,959,767 loading -0.0230
- chr17:45,883,815 loading 0.0290
- chr17:6,654,333 loading 0.0283
- chr34:27,183,296 loading 0.0282
- chr1:24,578,804 loading 0.0240
- chr2:19,906,795 loading 0.0230
- chr13:51,091,794 loading 0.0227