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.
CHIH_CHIH_01206
CHIH_CHIH_01206 is a Chihuahua from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See CHIH_CHIH_01206 in the atlasCHIH_CHIH_01206 sits at the edge of the Chihuahua cluster but still well within it.
- Predicted small by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries both copies of the FGF4 chondrodysplasia retrogene - the short-leg variant in Dachshund, Pembroke Corgi, Basset Hound.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to CHIH_CHIH_01206's. Click any of them to keep exploring.
CHIH_CHIH_01206 sits in the Chihuahua 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.
- Chihuahua 80%
- Labrador Retriever 12%
- Golden Retriever 8%
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 -0.603
z 3.709
The 3 PCs on which CHIH_CHIH_01206 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr17:4,173,842 loading 0.0436
- chr17:4,233,511 loading 0.0413
- chr17:4,128,965 loading 0.0412
- chr4:74,176,809 loading 0.0309
- chr3:63,796,388 loading 0.0306
- chr7:9,211,951 loading 0.0296
- chr19:19,197,831 loading 0.0370
- chr1:99,774,502 loading -0.0342
- chr4:60,708,893 loading 0.0329