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.
NSD_GT287_NSD_GT287
NSD_GT287_NSD_GT287 is a Nova Scotia Duck Tolling Retriever from the Shannon research cohort. One of 14,478 dogs who built the atlas.
See NSD_GT287_NSD_GT287 in the atlasNSD_GT287_NSD_GT287 sits at the edge of the Nova Scotia Duck Tolling Retriever cluster but still well within it.
- 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.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to NSD_GT287_NSD_GT287's. Click any of them to keep exploring.
NSD_GT287_NSD_GT287 sits in the Nova Scotia Duck Tolling Retriever cluster, with genome overlap to Golden Retriever, and Labrador 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.
From the CanVAS (Shannon cohort) . Breed-page reference: Nova Scotia Duck Tolling Retriever.
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 -0.076
z 5.409
The 3 PCs on which NSD_GT287_NSD_GT287 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr29:21,886,817 loading 0.0283
- chr32:36,857,898 loading -0.0278
- chr37:28,513,334 loading -0.0274
- chr21:49,887,138 loading 0.0323
- chr14:48,394,398 loading -0.0308
- chr32:37,683,789 loading -0.0274
- chr3:66,859,090 loading 0.0315
- chr5:34,597,402 loading -0.0299
- chr10:40,957,281 loading -0.0291