Skip to main content
snıff
GRLS Hero · Founder
Cosmic medallion portrait of GRLS_grlsVCVG4GHH, 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_grlsVCVG4GHH

GRLS_grlsVCVG4GHH is a Golden Retriever from the GRLS research cohort. One of 14,478 dogs who built the atlas.

See GRLS_grlsVCVG4GHH in the atlas
About GRLS_grlsVCVG4GHH

GRLS_grlsVCVG4GHH sits well inside the Golden Retriever cluster - a fairly typical example.

  • Predicted giant 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_grlsVCVG4GHH's nearest neighbors

The five dogs in the atlas whose genomes sit closest to GRLS_grlsVCVG4GHH's. Click any of them to keep exploring.

  1. GRLS_grlsBFIWWMNN Golden Retriever 23.20
  2. GRLS_grlsGYD8YY55 Golden Retriever 24.82
  3. GRLS_grls1P8BR1KK Golden Retriever 25.40
  4. GRLS_grlsZSHTKLWW Golden Retriever 31.41
  5. GRLS_grls92KYJ99 Golden Retriever 33.55
GRLS_grlsVCVG4GHH's breed

GRLS_grlsVCVG4GHH 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/A
Leg length
FGF4·CFA18 C/C
FGF4·CFA12 C/C
Coat
RSPO2 C/C
FGF5 C/C
KRT71 C/C
MC1R T/C
Ear set
MSRB3 A/A
Skull shape
BMP3 C/C
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 8.615
y 10.050
z 8.090
PCA-256 distance from breed centroid
31.52
Outlier percentile in breed
35
lower = more typical
Top-3 principal components by |z|

The 3 PCs on which GRLS_grlsVCVG4GHH scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC101 z = -3.09
  • chr1:74,476,966 loading 0.0401
  • chr1:74,547,137 loading -0.0372
  • chr1:74,609,719 loading 0.0354
PC246 z = -3.03
  • chr4:78,506,139 loading 0.0305
  • chr26:20,960,217 loading -0.0303
  • chr22:28,657,814 loading -0.0289
PC228 z = 2.53
  • chr25:25,192,682 loading 0.0383
  • chr24:37,936,747 loading 0.0329
  • chr25:20,642,955 loading -0.0315
Ancestry reconstruction error: 0.55
Back to the Atlas →