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.
CHC_25620_CHC_25620
CHC_25620_CHC_25620 is a Chinese Crested from the JenkinsWGS research cohort. One of 14,478 dogs who built the atlas.
See CHC_25620_CHC_25620 in the atlasCHC_25620_CHC_25620 sits near the center of the Chinese Crested cluster - genetically very typical for the breed.
- Predicted small by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to CHC_25620_CHC_25620's. Click any of them to keep exploring.
CHC_25620_CHC_25620 sits in the Chinese Crested 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.
- Chinese Crested 83%
- Golden Retriever 17%
From the CanVAS (JenkinsWGS cohort) . Breed-page reference: Chinese Crested.
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 14.196
z 0.982
The 3 PCs on which CHC_25620_CHC_25620 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr19:19,197,831 loading 0.0370
- chr1:99,774,502 loading -0.0342
- chr4:60,708,893 loading 0.0329
- chr6:3,625,190 loading 0.0407
- chr6:3,210,008 loading -0.0395
- chr6:3,012,938 loading -0.0395
- chr9:12,031,144 loading 0.0367
- chr13:1,840,654 loading -0.0344
- chr9:14,628,871 loading -0.0343