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.
DACH_Dac_0GT116
DACH_Dac_0GT116 is a Dachshund from the Spatola research cohort. One of 14,478 dogs who built the atlas.
See DACH_Dac_0GT116 in the atlasDACH_Dac_0GT116 is a strong genetic outlier within the Dachshund 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 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 DACH_Dac_0GT116's. Click any of them to keep exploring.
DACH_Dac_0GT116 sits in the Dachshund 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.
- Dachshund 81%
- Labrador Retriever 11%
- 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 -1.409
z 10.721
The 3 PCs on which DACH_Dac_0GT116 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr14:22,119,741 loading 0.0316
- chr5:79,283,975 loading -0.0300
- chr5:64,357,114 loading -0.0296
- chr22:2,367,358 loading 0.0405
- chr22:5,622,508 loading -0.0403
- chr22:4,235,154 loading -0.0403
- chr36:18,815,377 loading 0.0327
- chr5:64,065,611 loading -0.0306
- chr12:41,906,189 loading 0.0276