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.
Rottweiler_ur_15_5_13
Rottweiler_ur_15_5_13 is a Rottweiler from the Hedan research cohort. One of 14,478 dogs who built the atlas.
See Rottweiler_ur_15_5_13 in the atlasRottweiler_ur_15_5_13 is a notable Rottweiler - 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.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to Rottweiler_ur_15_5_13's. Click any of them to keep exploring.
Rottweiler_ur_15_5_13 sits in the Rottweiler 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.
- Rottweiler 86%
- Labrador Retriever 7%
- Golden Retriever 6%
From the CanVAS (Hedan cohort) . Breed-page reference: Rottweiler.
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 1.546
z 11.574
The 3 PCs on which Rottweiler_ur_15_5_13 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr12:3,203,806 loading 0.0259
- chr13:8,570,429 loading -0.0258
- chr3:39,845,469 loading 0.0255
- chr22:2,473,315 loading 0.0460
- chr22:2,231,766 loading 0.0451
- chr22:2,271,992 loading 0.0447
- chr6:60,987,558 loading 0.0302
- chr18:25,790,852 loading 0.0293
- chr14:14,074,192 loading -0.0293