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CanVAS Spatola · Founder
Cosmic medallion portrait of REDB_REDB_35F11, a Redbone Coonhound
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.

REDB_REDB_35F11

REDB_REDB_35F11 is a Redbone Coonhound from the Spatola research cohort. One of 14,478 dogs who built the atlas.

See REDB_REDB_35F11 in the atlas
About REDB_REDB_35F11
  • Predicted giant by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries one copy of the FGF4 chondrodysplasia retrogene.
  • Smooth coat. No wire-furnishings variant at RSPO2.
REDB_REDB_35F11's nearest neighbors

The five dogs in the atlas whose genomes sit closest to REDB_REDB_35F11's. Click any of them to keep exploring.

  1. REDB_REDB_35B12 Redbone Coonhound 19.53
  2. RUSH_RUSH_d5861 Village Dog Russia 22.51
  3. RUSH_RUSH_d5863 Village Dog Russia 22.83
  4. RUSH_RUSH_d5862 Village Dog Russia 23.14
  5. RUSH_RUSH_d5860 Village Dog Russia 23.93
REDB_REDB_35F11's breed

REDB_REDB_35F11 sits in the Labrador Retriever 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. Labrador Retriever 61%
  2. Golden Retriever 39%
Source

From the CanVAS (Spatola cohort) . Breed-page reference: Redbone Coonhound.

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/C
HMGA2 T/T
SMAD2 A/G
LCORL G/G
STC2 C/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 T/C
Coat
RSPO2 C/C
FGF5 T/C
KRT71 C/C
MC1R C/C
Ear set
MSRB3 G/A
Skull shape
BMP3 C/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 -3.966
y 5.183
z 4.834
Top-3 principal components by |z|

The 3 PCs on which REDB_REDB_35F11 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC255 z = 2.16
  • chr23:37,041,440 loading 0.0347
  • chr1:100,944,840 loading 0.0344
  • chr1:101,382,836 loading -0.0320
PC10 z = -2.15
  • chr13:43,330,325 loading 0.0255
  • chr17:50,562,684 loading 0.0245
  • chr19:34,146,978 loading 0.0244
PC114 z = -1.95
  • chr4:80,039,364 loading 0.0307
  • chr8:13,133,148 loading -0.0301
  • chr31:11,367,367 loading 0.0289
Ancestry reconstruction error: 0.33
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