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CanVAS Hayward2016 · Founder
Cosmic medallion portrait of 1024163_1024163, a Chinook
AI portrait
About this 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.

1024163_1024163

1024163_1024163 is a Chinook from the Hayward2016 research cohort. One of 14,478 dogs who built the atlas.

See 1024163_1024163 in the atlas
About 1024163_1024163

1024163_1024163 sits near the center of the Chinook cluster - genetically very typical for the breed.

  • Predicted giant 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.
1024163_1024163's nearest neighbors

The five dogs in the atlas whose genomes sit closest to 1024163_1024163's. Click any of them to keep exploring.

  1. 1034324_1034324 Chinook 13.96
  2. 1034327_1034327 Chinook 14.77
  3. 1036118_1036118 Chinook 15.03
  4. 1036124_1036124 Chinook 17.04
  5. 1030388_1030388 Chinook 17.22
1024163_1024163's breed

1024163_1024163 sits in the German Shepherd cluster, with genome overlap to 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.

  1. German Shepherd 88%
  2. Golden Retriever 12%
Source

From the CanVAS (Hayward2016 cohort) . Breed-page reference: Chinook.

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.

Body size
IGF1 C/A
HMGA2 T/T
SMAD2 G/G
LCORL A/A
STC2 A/A
ADAMTS17 G/G
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 T/T
FGF5 C/C
KRT71 T/C
MC1R C/C
Ear set
MSRB3 A/A
Skull shape
BMP3 T/T
SMOC2 A/A
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.

UMAP-3D position
x 1.225
y 10.339
z 13.187
PCA-256 distance from breed centroid
11.12
Outlier percentile in breed
9
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which 1024163_1024163 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC78 z = 10.93
  • chr22:2,157,682 loading 0.0351
  • chr22:2,473,315 loading 0.0335
  • chr22:2,367,358 loading 0.0330
PC96 z = 10.08
  • chr4:32,151,890 loading 0.0295
  • chr1:72,831,562 loading 0.0294
  • chr30:30,843,842 loading 0.0291
PC90 z = 7.50
  • chr22:398,599 loading 0.0377
  • chr29:27,583,617 loading -0.0367
  • chr22:25,742,519 loading -0.0349
Ancestry reconstruction error: 0.93 (high - dog sits between cluster centroids)
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