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 CanVAS Founder atlas. The same dog always reproduces the same portrait. A different dog with different alleles gets a different portrait.
PILOT_grlsPFS0H300
PILOT_grlsPFS0H300 is a Golden Retriever from the GRLS research cohort. One of 18,477 dogs in the atlas.
See PILOT_grlsPFS0H300 in the atlasPILOT_grlsPFS0H300 is a strong genetic outlier within the Golden Retriever 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).
- Standard leg length. No chondrodysplasia retrogene variant.
- Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PILOT_grlsPFS0H300's. Click any of them to keep exploring.
PILOT_grlsPFS0H300 sits in the Golden Retriever cluster, with genome overlap to 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.
- Golden Retriever 78%
- Labrador Retriever 22%
From the Golden Retriever Lifetime Study . Breed-page reference: Golden Retriever.
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 9.257
z 8.175
The 3 PCs on which PILOT_grlsPFS0H300 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr20:38,870,936 loading 0.0397
- chr34:1,972,619 loading -0.0360
- chr34:1,533,247 loading -0.0331
- chr1:102,829,549 loading 0.0371
- chr8:40,351,665 loading 0.0356
- chr1:70,953,125 loading 0.0339
- chr1:99,506,167 loading 0.0408
- chr15:22,270,589 loading -0.0399
- chr15:22,844,988 loading -0.0387