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CanVAS JenkinsWGS · Founder
Cosmic medallion portrait of LH_30102_LH_30102, a Lancashire Heeler
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.

LH_30102_LH_30102

LH_30102_LH_30102 is a Lancashire Heeler from the JenkinsWGS research cohort. One of 14,478 dogs who built the atlas.

See LH_30102_LH_30102 in the atlas
About LH_30102_LH_30102
  • Predicted medium by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
  • Carries one copy of the FGF4 chondrodysplasia retrogene.
  • Wire-coat furnishings - the eyebrow + beard variant at RSPO2.
LH_30102_LH_30102's nearest neighbors

The five dogs in the atlas whose genomes sit closest to LH_30102_LH_30102's. Click any of them to keep exploring.

  1. LH_33722_LH_33722 Lancashire Heeler 18.17
  2. PFZ35G04_PFZ35G04 Rat Terrier 23.61
  3. PFZ1G12_PFZ1G12 Village Dog Peru Puno 24.17
  4. PFZ31A05_PFZ31A05 Mix 24.54
  5. 8233_8233 Village Dog Belize 24.61
LH_30102_LH_30102's breed

LH_30102_LH_30102 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 56%
  2. Labrador Retriever 44%
Source

From the CanVAS (JenkinsWGS cohort) . Breed-page reference: Lancashire Heeler.

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/C
SMAD2 G/G
LCORL G/G
STC2 C/C
ADAMTS17 G/G
Leg length
FGF4·CFA18 T/C
FGF4·CFA12 C/C
Coat
RSPO2 T/T
FGF5 C/C
KRT71 C/C
MC1R T/C
Ear set
MSRB3 G/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 4.158
y 1.204
z 2.205
Top-3 principal components by |z|

The 3 PCs on which LH_30102_LH_30102 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.

PC233 z = 1.97
  • chr16:48,608,303 loading 0.0348
  • chr13:24,655,299 loading -0.0330
  • chr23:1,734,032 loading 0.0330
PC172 z = -1.83
  • chr13:4,083,191 loading 0.0359
  • chr24:4,114,956 loading 0.0356
  • chr13:12,284,714 loading 0.0349
PC71 z = -1.69
  • chr22:1,808,281 loading 0.0402
  • chr22:2,157,682 loading 0.0366
  • chr22:2,072,452 loading 0.0364
Ancestry reconstruction error: 0.65
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