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Cosmic medallion portrait of GRLS_grlsHINJVV22, a Golden Retriever
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.

GRLS_grlsHINJVV22

GRLS_grlsHINJVV22 is a Golden Retriever from the GRLS research cohort. One of 14,478 dogs who built the atlas.

See GRLS_grlsHINJVV22 in the atlas
About GRLS_grlsHINJVV22

GRLS_grlsHINJVV22 sits at the edge of the Golden Retriever cluster but still well within it.

  • Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Standard leg length. No chondrodysplasia retrogene variant.
GRLS_grlsHINJVV22's nearest neighbors

The five dogs in the atlas whose genomes sit closest to GRLS_grlsHINJVV22's. Click any of them to keep exploring.

  1. GRLS_grlsRBYRVGMM Golden Retriever 35.16
  2. GRLS_grlsYSYXJN00 Golden Retriever 35.32
  3. GRLS_grlsGOTT0933 Golden Retriever 35.38
  4. PILOT_grlsZRG6Q0TT Golden Retriever 35.62
  5. GRLS_grlsVHXZ6SOO Golden Retriever 35.86
GRLS_grlsHINJVV22's breed

GRLS_grlsHINJVV22 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 80%
  2. Labrador Retriever 20%
Source

From the Golden Retriever Lifetime Study . Breed-page reference: Golden Retriever.

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 T/T
SMAD2 G/G
LCORL G/G
STC2 A/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 –
FGF5 T/C
KRT71 C/C
MC1R T/T
Ear set
MSRB3 A/A
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 9.239
y 10.327
z 8.450
PCA-256 distance from breed centroid
37.26
Outlier percentile in breed
64
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which GRLS_grlsHINJVV22 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC225 z = -3.59
  • chr23:37,382,588 loading 0.0307
  • chr7:21,991,064 loading -0.0305
  • chr6:50,176,215 loading 0.0304
PC169 z = 3.53
  • chr11:19,692,422 loading 0.0364
  • chr11:16,885,817 loading -0.0352
  • chr9:14,385,903 loading 0.0333
PC105 z = 3.04
  • chr9:10,719,447 loading 0.0424
  • chr34:1,972,619 loading -0.0401
  • chr34:1,432,211 loading -0.0400
Ancestry reconstruction error: 0.59
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