Skip to main content
snıff
CanVAS Hayward2016 · Founder
Cosmic medallion portrait of ID57_ID57, a Village Dog India Orissa
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.

ID57_ID57

ID57_ID57 is labelled Village Dog India Orissa in the Hayward2016 cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.

See ID57_ID57 in the atlas
About ID57_ID57
  • Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries both copies of the FGF4 chondrodysplasia retrogene - the short-leg variant in Dachshund, Pembroke Corgi, Basset Hound.
  • Carrier of the RSPO2 wire-coat variant (single copy).
ID57_ID57's breed

ID57_ID57's genome decomposes mostly into Golden Retriever, with additional weight on Labrador Retriever.

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 54%
  2. Labrador Retriever 46%
Source

From the CanVAS (Hayward2016 cohort) . Breed-page reference: Village Dog India Orissa.

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 C/T
SMAD2 G/G
LCORL G/G
STC2 C/A
ADAMTS17 G/G
Leg length
FGF4·CFA18 T/T
FGF4·CFA12 C/C
Coat
RSPO2 C/T
FGF5 T/C
KRT71 C/C
MC1R C/C
Ear set
MSRB3 G/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 5.340
y 4.506
z 0.219
Top-3 principal components by |z|

The 3 PCs on which ID57_ID57 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC26 z = -3.97
  • chr6:1,658,873 loading 0.0279
  • chr6:1,741,489 loading 0.0277
  • chr27:35,211,437 loading -0.0271
PC164 z = -3.89
  • chr19:16,549,845 loading 0.0354
  • chr28:2,607,542 loading -0.0326
  • chr28:1,724,663 loading 0.0325
PC215 z = 3.74
  • chr19:7,211,690 loading 0.0376
  • chr19:7,271,993 loading 0.0341
  • chr27:40,183,759 loading 0.0317
Ancestry reconstruction error: 0.59