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CanVAS HaywardDeaf · Founder
Cosmic medallion portrait of ACD33_ACD33, a Australian Cattle Dog
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.

ACD33_ACD33

ACD33_ACD33 is a Australian Cattle Dog from the HaywardDeaf research cohort. One of 14,478 dogs who built the atlas.

See ACD33_ACD33 in the atlas
About ACD33_ACD33

ACD33_ACD33 sits at the edge of the Australian Cattle Dog cluster but still well within it.

  • Predicted small 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).
ACD33_ACD33's nearest neighbors

The five dogs in the atlas whose genomes sit closest to ACD33_ACD33's. Click any of them to keep exploring.

  1. ACD34_ACD34 Australian Cattle Dog 10.63
  2. ACD116_ACD116 Australian Cattle Dog 11.83
  3. ACD32_ACD32 Australian Cattle Dog 11.93
  4. ACD115_ACD115 Australian Cattle Dog 12.04
  5. ACD65_ACD65 Australian Cattle Dog 21.77
ACD33_ACD33's breed

ACD33_ACD33 sits in the Australian Cattle Dog 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. Australian Cattle Dog 94%
  2. Golden Retriever 6%
Source

From the CanVAS (HaywardDeaf cohort) . Breed-page reference: Australian Cattle Dog.

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 A/A
HMGA2 C/T
SMAD2 G/G
LCORL G/G
STC2 A/A
ADAMTS17 G/G
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 C/T
FGF5 T/T
KRT71 C/C
MC1R T/C
Ear set
MSRB3 G/A
Skull shape
BMP3 T/T
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 3.332
y -3.911
z 0.038
PCA-256 distance from breed centroid
34.11
Outlier percentile in breed
65
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which ACD33_ACD33 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC22 z = -7.38
  • chr13:14,726,002 loading 0.0284
  • chr3:61,769,626 loading 0.0269
  • chr3:60,881,586 loading -0.0267
PC252 z = 7.37
  • chr19:30,132,204 loading 0.0320
  • chr25:21,796,415 loading -0.0316
  • chr3:5,565,848 loading 0.0303
PC238 z = -4.56
  • chr19:11,652,672 loading 0.0365
  • chr13:13,884,830 loading -0.0338
  • chr3:70,346,120 loading -0.0302
Ancestry reconstruction error: 0.49
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