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CanVAS Spatola · Founder
Cosmic medallion portrait of ACKR_ACKR_09030, a American Cocker Spaniel
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.

ACKR_ACKR_09030

ACKR_ACKR_09030 is a American Cocker Spaniel from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See ACKR_ACKR_09030 in the atlas
About ACKR_ACKR_09030

ACKR_ACKR_09030 is a notable American Cocker Spaniel - distinctive within the breed.

  • Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries both copies of the FGF4 chondrodysplasia retrogene - the short-leg variant in Dachshund, Pembroke Corgi, Basset Hound.
  • Carrier of the RSPO2 wire-coat variant (single copy).
ACKR_ACKR_09030's breed

ACKR_ACKR_09030 sits in the American Cocker Spaniel 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.

  1. American Cocker Spaniel 81%
  2. Labrador Retriever 11%
  3. Golden Retriever 8%
Source

From the CanVAS (Spatola cohort) . Breed-page reference: American Cocker Spaniel.

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
HMGA2 T/T
SMAD2 A/A
LCORL G/G
STC2
ADAMTS17
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 T/T
Coat
RSPO2 C/T
FGF5 C/C
KRT71 C/C
MC1R T/C
Ear set
MSRB3
Skull shape
BMP3
SMOC2 G/G
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 0.904
y 14.358
z 2.502
PCA-256 distance from breed centroid
36.55
Outlier percentile in breed
88
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which ACKR_ACKR_09030 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC34 z = -6.28
  • chr12:32,936,523 loading 0.0310
  • chr24:6,196,307 loading 0.0310
  • chr24:10,982,162 loading 0.0302
PC32 z = 4.20
  • chr23:20,231,163 loading 0.0295
  • chr22:42,651,822 loading -0.0294
  • chr27:39,738,665 loading 0.0291
PC33 z = -2.75
  • chr10:30,540,439 loading 0.0269
  • chr9:55,813,941 loading -0.0264
  • chr2:7,852,884 loading 0.0260
Ancestry reconstruction error: 0.26