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Cosmic medallion portrait of GRLS_grlsH8CNL33, 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_grlsH8CNL33

GRLS_grlsH8CNL33 is a Golden Retriever from the GRLS research cohort. One of 14,478 dogs who built the atlas.

See GRLS_grlsH8CNL33 in the atlas
About GRLS_grlsH8CNL33

GRLS_grlsH8CNL33 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.
  • Carrier of the RSPO2 wire-coat variant (single copy).
GRLS_grlsH8CNL33's nearest neighbors

The five dogs in the atlas whose genomes sit closest to GRLS_grlsH8CNL33's. Click any of them to keep exploring.

  1. GRLS_grlsS2GRBLSS Golden Retriever 25.94
  2. GRLS_grlsZLLUNLII Golden Retriever 27.35
  3. GRLS_grlsOMPOVPZZ Golden Retriever 27.51
  4. GRLS_grlsQILR1II Golden Retriever 27.58
  5. GRLS_grlsI1LFYF33 Golden Retriever 27.86
GRLS_grlsH8CNL33's breed

GRLS_grlsH8CNL33 sits firmly in the Golden Retriever cluster.

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 100%
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 C/C
HMGA2 T/T
SMAD2 A/G
LCORL G/G
STC2 A/A
ADAMTS17 G/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 C/T
FGF5 C/C
KRT71 C/C
MC1R C/C
Ear set
MSRB3 A/A
Skull shape
BMP3 C/T
SMOC2 A/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 8.210
y 10.851
z 6.428
PCA-256 distance from breed centroid
31.63
Outlier percentile in breed
36
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which GRLS_grlsH8CNL33 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC13 z = -3.02
  • chr11:38,528,765 loading 0.0255
  • chr18:48,123,615 loading 0.0255
  • chr15:30,849,502 loading 0.0253
PC232 z = 2.72
  • chr8:13,394,852 loading 0.0320
  • chr30:2,998,314 loading 0.0313
  • chr12:26,709,882 loading 0.0290
PC66 z = 2.04
  • chr22:1,996,400 loading 0.0426
  • chr22:1,969,643 loading -0.0423
  • chr22:2,473,315 loading 0.0395
Ancestry reconstruction error: 0.60
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