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.
JACK_JRT_0GT253
JACK_JRT_0GT253 is a Jack Russell Terrier from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See JACK_JRT_0GT253 in the atlasJACK_JRT_0GT253 is a notable Jack Russell Terrier - distinctive within the breed.
- 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 JACK_JRT_0GT253's. Click any of them to keep exploring.
JACK_JRT_0GT253 sits in the Jack Russell Terrier 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.
- Jack Russell Terrier 68%
- Labrador Retriever 19%
- Golden Retriever 13%
From the CanVAS (Spatola cohort) . Breed-page reference: Jack Russell Terrier.
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 4.964
z 4.527
The 3 PCs on which JACK_JRT_0GT253 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr22:1,996,400 loading 0.0303
- chr22:2,231,766 loading 0.0280
- chr22:3,165,486 loading 0.0275
- chr4:74,176,809 loading 0.0309
- chr3:63,796,388 loading 0.0306
- chr7:9,211,951 loading 0.0296
- chr13:43,330,325 loading 0.0255
- chr17:50,562,684 loading 0.0245
- chr19:34,146,978 loading 0.0244