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CanVAS Spatola · Founder
Cosmic medallion portrait of AMAL_AMAL_29547, a Alaskan Malamute
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.

AMAL_AMAL_29547

AMAL_AMAL_29547 is a Alaskan Malamute from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See AMAL_AMAL_29547 in the atlas
About AMAL_AMAL_29547

AMAL_AMAL_29547 is a notable Alaskan Malamute - distinctive within 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.
AMAL_AMAL_29547's nearest neighbors

The five dogs in the atlas whose genomes sit closest to AMAL_AMAL_29547's. Click any of them to keep exploring.

  1. AMAL_AMAL_27127 Alaskan Malamute 10.39
  2. AMAL_AMAL_29545 Alaskan Malamute 10.56
  3. AMAL_AMAL_29544 Alaskan Malamute 11.23
  4. AMAL_AMAL_29541 Alaskan Malamute 11.33
  5. AMAL_AMAL_29543 Alaskan Malamute 11.69
AMAL_AMAL_29547's breed

AMAL_AMAL_29547 sits in the Alaskan Malamute 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. Alaskan Malamute 85%
  2. Labrador Retriever 8%
  3. Golden Retriever 8%
Source

From the CanVAS (Spatola cohort) . Breed-page reference: Alaskan Malamute.

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 G/G
STC2 –
ADAMTS17 –
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 –
FGF5 C/C
KRT71 C/C
MC1R C/C
Ear set
MSRB3 –
Skull shape
BMP3 –
SMOC2 A/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 7.077
y 7.918
z -5.561
PCA-256 distance from breed centroid
27.61
Outlier percentile in breed
87
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which AMAL_AMAL_29547 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC46 z = 5.39
  • chr22:1,996,400 loading 0.0303
  • chr22:2,231,766 loading 0.0280
  • chr22:3,165,486 loading 0.0275
PC45 z = 3.88
  • chr21:49,887,138 loading 0.0323
  • chr14:48,394,398 loading -0.0308
  • chr32:37,683,789 loading -0.0274
PC50 z = -3.12
  • chr22:2,473,315 loading 0.0334
  • chr22:1,969,643 loading -0.0326
  • chr4:32,946,669 loading -0.0320
Ancestry reconstruction error: 0.27
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