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.
IS_34583_IS_34583
IS_34583_IS_34583 is a Irish Setter from the JenkinsWGS research cohort. One of 14,478 dogs who built the atlas.
See IS_34583_IS_34583 in the atlasIS_34583_IS_34583 sits at the edge of the Irish Setter cluster but still well within it.
- Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Carrier of the RSPO2 wire-coat variant (single copy).
The five dogs in the atlas whose genomes sit closest to IS_34583_IS_34583's. Click any of them to keep exploring.
IS_34583_IS_34583 sits in the Irish Setter cluster, with genome overlap to Gordon Setter, 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.
- Irish Setter 62%
- Gordon Setter 18%
- Golden Retriever 11%
- Labrador Retriever 9%
From the CanVAS (JenkinsWGS cohort) . Breed-page reference: Irish Setter.
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 0.159
z 2.433
The 3 PCs on which IS_34583_IS_34583 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr1:70,040,058 loading 0.0369
- chr1:99,414,793 loading -0.0351
- chr24:7,157,643 loading 0.0343
- chr3:6,565,383 loading 0.0418
- chr18:10,714,022 loading 0.0387
- chr3:6,720,531 loading 0.0365
- chr13:4,612,002 loading 0.0350
- chr13:4,346,598 loading 0.0329
- chr10:6,497,921 loading 0.0313