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Cosmic medallion portrait of GRLS_grls80GOJXFF, 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_grls80GOJXFF

GRLS_grls80GOJXFF is a Golden Retriever from the GRLS research cohort. One of 14,478 dogs who built the atlas.

See GRLS_grls80GOJXFF in the atlas
About GRLS_grls80GOJXFF

GRLS_grls80GOJXFF 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_grls80GOJXFF's nearest neighbors

The five dogs in the atlas whose genomes sit closest to GRLS_grls80GOJXFF's. Click any of them to keep exploring.

  1. Oldies_grls8ea6a433 Golden Retriever 30.02
  2. GRLS_grlsU3OJ2BLL Golden Retriever 33.71
  3. GRLS_grlsCCG2I3EE Golden Retriever 33.82
  4. GRLS_grlsUAWU14KK Golden Retriever 34.61
  5. GRLS_grlsB9UB6ZEE Golden Retriever 34.70
GRLS_grls80GOJXFF's breed

GRLS_grls80GOJXFF 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 G/G
LCORL G/G
STC2 A/A
ADAMTS17 G/G
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 C/C
FGF5 T/C
KRT71 C/C
MC1R T/T
Ear set
MSRB3 A/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 9.002
y 9.493
z 8.311
PCA-256 distance from breed centroid
34.33
Outlier percentile in breed
49
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which GRLS_grls80GOJXFF scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC126 z = -3.15
  • chr21:31,645,739 loading 0.0387
  • chr21:34,014,573 loading -0.0385
  • chr26:6,573,837 loading 0.0382
PC87 z = -2.88
  • chr18:17,740,291 loading 0.0425
  • chr18:13,022,424 loading -0.0364
  • chr18:14,917,450 loading -0.0361
PC159 z = 2.82
  • chr1:17,158,018 loading 0.0357
  • chr5:59,845,529 loading 0.0334
  • chr11:16,824,143 loading -0.0291
Ancestry reconstruction error: 0.56
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