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.
PFZ35B09_PFZ35B09
PFZ35B09_PFZ35B09 is a Newfoundland from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.
See PFZ35B09_PFZ35B09 in the atlasPFZ35B09_PFZ35B09 is a strong genetic outlier within the Newfoundland cluster - among the most distinctive examples of their breed.
- Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Carries one copy of the FGF4 chondrodysplasia retrogene.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to PFZ35B09_PFZ35B09's. Click any of them to keep exploring.
PFZ35B09_PFZ35B09 sits in the Newfoundland 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.
- Newfoundland 86%
- Labrador Retriever 8%
- Golden Retriever 7%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Newfoundland.
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 -5.963
z 3.648
The 3 PCs on which PFZ35B09_PFZ35B09 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr27:9,604,099 loading 0.0251
- chr9:58,501,670 loading -0.0250
- chr9:46,847,361 loading 0.0246
- chr6:57,387,289 loading 0.0303
- chr14:13,904,420 loading -0.0294
- chr30:3,709,721 loading 0.0293
- chr3:3,559,803 loading 0.0324
- chr6:3,540,503 loading -0.0319
- chr15:3,475,065 loading 0.0316