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.
WEIM_Wei_0GT407
WEIM_Wei_0GT407 is a Weimaraner from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See WEIM_Wei_0GT407 in the atlasWEIM_Wei_0GT407 is a strong genetic outlier within the Weimaraner cluster - among the most distinctive examples of their breed.
- Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to WEIM_Wei_0GT407's. Click any of them to keep exploring.
WEIM_Wei_0GT407 sits in the Weimaraner 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.
- Weimaraner 59%
- Labrador Retriever 24%
- Golden Retriever 18%
From the CanVAS (Spatola cohort) . Breed-page reference: Weimaraner.
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 6.875
z 5.903
The 3 PCs on which WEIM_Wei_0GT407 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr1:69,893,718 loading 0.0314
- chr1:64,453,595 loading -0.0313
- chr8:29,102,271 loading -0.0309
- chr28:5,428,661 loading 0.0343
- chr2:48,019,031 loading -0.0318
- chr2:8,786,956 loading 0.0314
- chr10:7,000,030 loading 0.0335
- chr10:4,826,260 loading -0.0333
- chr23:15,561,811 loading -0.0321