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.
NT_15614_NT_15614
NT_15614_NT_15614 is a Norwich Terrier from the JenkinsWGS research cohort. One of 14,478 dogs who built the atlas.
See NT_15614_NT_15614 in the atlasNT_15614_NT_15614 is a notable Norwich Terrier - distinctive within the breed.
- Predicted medium 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.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to NT_15614_NT_15614's. Click any of them to keep exploring.
NT_15614_NT_15614 sits in the Yorkshire Terrier 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.
- Yorkshire Terrier 72%
- Golden Retriever 28%
From the CanVAS (JenkinsWGS cohort) . Breed-page reference: Norwich 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 -0.002
z 0.850
The 3 PCs on which NT_15614_NT_15614 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr13:1,243,516 loading 0.0372
- chr13:4,612,002 loading -0.0358
- chr13:2,021,999 loading -0.0342
- chr17:4,173,842 loading 0.0406
- chr17:4,233,511 loading 0.0400
- chr17:4,353,120 loading 0.0343
- chr3:3,559,803 loading 0.0324
- chr6:3,540,503 loading -0.0319
- chr15:3,475,065 loading 0.0316