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CanVAS JenkinsWGS · Founder
Cosmic medallion portrait of SC_33832_SC_33832, a Smooth Collie
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.

SC_33832_SC_33832

SC_33832_SC_33832 is a Smooth Collie from the JenkinsWGS research cohort. One of 14,478 dogs who built the atlas.

See SC_33832_SC_33832 in the atlas
About SC_33832_SC_33832
  • Predicted small by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Standard leg length. No chondrodysplasia retrogene variant.
  • Smooth coat. No wire-furnishings variant at RSPO2.
SC_33832_SC_33832's nearest neighbors

The five dogs in the atlas whose genomes sit closest to SC_33832_SC_33832's. Click any of them to keep exploring.

  1. PFZ11G05_PFZ11G05 Collie 13.31
  2. PFZ10A10_PFZ10A10 Collie 14.64
  3. PFZ11E05_PFZ11E05 Collie 14.85
  4. PFZ10G10_PFZ10G10 Collie 15.19
  5. PFZ10E10_PFZ10E10 Collie 15.78
SC_33832_SC_33832's breed

SC_33832_SC_33832 sits in the Golden Retriever cluster, with genome overlap to 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.

  1. Golden Retriever 58%
  2. Labrador Retriever 42%
Source

From the CanVAS (JenkinsWGS cohort) . Breed-page reference: Smooth Collie.

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/C
SMAD2 G/G
LCORL G/G
STC2 A/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 C/C
FGF5 C/C
KRT71 C/C
MC1R C/C
Ear set
MSRB3 A/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 12.516
y 4.045
z 3.341
Top-3 principal components by |z|

The 3 PCs on which SC_33832_SC_33832 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC40 z = 12.16
  • chr3:66,859,090 loading 0.0315
  • chr5:34,597,402 loading -0.0299
  • chr10:40,957,281 loading -0.0291
PC45 z = 6.65
  • chr21:49,887,138 loading 0.0323
  • chr14:48,394,398 loading -0.0308
  • chr32:37,683,789 loading -0.0274
PC117 z = -5.92
  • chr1:102,829,549 loading 0.0371
  • chr8:40,351,665 loading 0.0356
  • chr1:70,953,125 loading 0.0339
Ancestry reconstruction error: 0.20
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