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Cosmic medallion portrait of GRLS_grlsEYQ09YY, 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_grlsEYQ09YY

GRLS_grlsEYQ09YY is a Golden Retriever from the GRLS research cohort. One of 14,478 dogs who built the atlas.

See GRLS_grlsEYQ09YY in the atlas
About GRLS_grlsEYQ09YY

GRLS_grlsEYQ09YY sits well inside the Golden Retriever cluster - a fairly typical example.

  • Predicted large 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.
GRLS_grlsEYQ09YY's nearest neighbors

The five dogs in the atlas whose genomes sit closest to GRLS_grlsEYQ09YY's. Click any of them to keep exploring.

  1. GRLS_grlsOESN6EII Golden Retriever 30.14
  2. GRLS_grlsIOYBJHWW Golden Retriever 33.59
  3. GRLS_grls0YCT0XEE Golden Retriever 34.51
  4. GRLS_grlsGVKL23PP Golden Retriever 35.11
  5. GRLS_grls3I4TC288 Golden Retriever 35.42
GRLS_grlsEYQ09YY's breed

GRLS_grlsEYQ09YY 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 81%
  2. Labrador Retriever 19%
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 C/C
FGF5 T/T
KRT71 C/C
MC1R T/T
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 8.271
y 9.803
z 8.317
PCA-256 distance from breed centroid
32.97
Outlier percentile in breed
42
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which GRLS_grlsEYQ09YY scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC66 z = -4.01
  • chr22:1,996,400 loading 0.0426
  • chr22:1,969,643 loading -0.0423
  • chr22:2,473,315 loading 0.0395
PC246 z = -3.73
  • chr4:78,506,139 loading 0.0305
  • chr26:20,960,217 loading -0.0303
  • chr22:28,657,814 loading -0.0289
PC193 z = -2.68
  • chr19:1,162,032 loading 0.0555
  • chr19:1,420,658 loading 0.0489
  • chr19:1,685,081 loading -0.0433
Ancestry reconstruction error: 0.55
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