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Gray Wolf

13 Gray Wolfs in the atlas. Every number on this page has a source.

13 Gray Wolfs in the Sniff Atlas. Population-genetic snapshot, Mendelian carrier frequencies from Donner 2023, and the data substrate's release version, sample sizes, and evidence tier on every claim.

What the atlas says about Gray Wolf

In the atlas, the Gray Wolf clusters consistently as Gray Wolf (100% of the 13 dogs here). At the trait loci, STC2 runs lower than average (12% here vs 74%); FGF4_retrogene_CFA18 runs lower than average (18% here vs 77%). Dogs here sit in a relatively sparse region of the atlas, fewer close neighbors than typical.

High breed predictability score (4.21), individual dogs of this breed reliably cluster together genetically. Only 13 dogs of this breed in the atlas, modestly sampled.

Closest genetic neighbors in the atlas: Tibetan Mastiff, Liangzhou Dog, village dog Nepal, Shanxi Xigou, and Shandong Xigou.

Genetic dimensions · CanVAS atlas

What the genome says about Gray Wolf

Computed from the 18,477 research dogs in the Atlas.

Dogs in the Atlas
13Founders
13 from Shannon
Genetic diversity
0.22Tight
Mean heterozygosity across the breed. Too few dogs in this breed (<20) to rank.
Cluster structure
Single tight cluster
Intra-breed RMS distance: 13.34
Nearest genetic relatives
  1. Tibetan Mastiff16.59
  2. Liangzhou Dog20.71
  3. Village Dog Nepal20.95
  4. Shanxi Xigou21.47
  5. Shandong Xigou21.54
Top-10 PC corrected Euclidean. Lower = closer.
Trait genetics
Allele frequencies at named morphology loci

Frequency of the alternate allele in this breed at each locus's representative SNP.

Body size
IGF1100%
HMGA296%
SMAD250%
LCORL77%
STC212%
ADAMTS1719%
Leg length
FGF4·CFA1818%
FGF4·CFA1277%
Coat
RSPO285%
FGF585%
KRT71100%
MC1R65%
Ear set
MSRB3100%
Skull shape
BMP392%
SMOC265%
What you see when you look at a Gray Wolf

What does the genome say about how a Gray Wolf looks?

Gray Wolfs look the way they do because of a small set of fixed and near-fixed morphology genes that, taken together, define the visible breed. Each translation below pairs the gene with the trait an owner actually sees, the breed's allele frequency at that locus, and a one-clause causal phrase.

Size and build

IGF1 is near-fixed at 100% for the small-body allele, which keeps the breed compact relative to its working-line ancestors.

HMGA2 is near-fixed at 96%, reinforcing the breed's size signal through a second locus on chromosome 10.

SMAD2 sits at 50% at the chromosome-7 height locus.

LCORL sits at 77% at the NCAPG/LCORL height locus on chromosome 3.

STC2 is at 12%, leaving the growth-axis signal to other loci.

ADAMTS17 is at 19%, the lower-frequency allele in this breed.

Leg length

The FGF4 retrogene on chromosome 18 is at 18%, the chromosome-18 leg-length variant, which keeps the breed short-legged like Corgis and Dachshunds.

The FGF4 retrogene on chromosome 12 sits at 77%, the chondrodystrophic variant.

Coat type, length, and color

RSPO2 sits at 85% for the furnishings variant. Furnishings (the eyebrow-and-mustache pattern seen in Schnauzers and Wheaten Terriers) vary across the population at this intermediate frequency, and visible expression depends on the specific allele combination each dog carries.

FGF5 sits at 85% for the long-coat variant. Coat length is influenced by other loci as well, so intermediate FGF5 frequencies do not always correspond to intermediate visible coat lengths.

KRT71 is near-fixed at 100% for the wavy/curly variant. Coat curl phenotype varies across breeds at this fixation depending on modifier loci, and visible expression is not always curled even when the locus is fixed.

MC1R sits at 65% at the representative SNP. MC1R controls the switch between red-to-gold pigment and black-to-brown pigment, with the e/e homozygous genotype producing the gold-to-red spectrum. Substrate frequencies at this SNP depend on the array's polarity, so visible coat color in the breed is a more reliable indicator than this single number.

Ears

MSRB3 is at 100% for the drop-ear allele, the genetic basis of the breed's signature dropped ear set.

Skull shape

BMP3 is at 92%, contributing to the breed's brachycephalic skull shape.

SMOC2 sits at 65%, contributing to the breed's moderate head shape.

The data behind this page

Where every number on this page came from.

This page draws on three primary data sources. Carrier frequencies for the Mendelian section come from Donner et al. 2023 (CC-BY-4.0). We grade these data at evidence Limited because the cohort is a direct-to-consumer ascertainment, which biases toward owners who chose to test their dogs. The panel also uses tag-SNP proxies for some variants rather than direct causal-variant assays. Limited is a study-design grade, not a quality grade: the Donner cohort is the largest open canine-genotype dataset in existence and we are grateful for it. We rate the confounding MEDIUM.

Population-genetic dimensions (heterozygosity, intra-breed PCA distance, nearest neighbors, trait-locus frequencies) come from CanVAS (Brundage 2026), harmonized through the Sniff Atlas. The exact release date and verification commit are pinned at the bottom of the page so a researcher can trace a number back to a specific snapshot. The disease-gene-variant graph comes from OMIA (Online Mendelian Inheritance in Animals; Nicholas, Tammen, and the Sydney Informatics Hub at the Sydney School of Veterinary Science, The University of Sydney; retrieved April 2026, DOI 10.25910/2AMR-PV70).

What this page does not yet have. Inheritance modes and per-disease penetrance evidence from Donner 2023 are now in the structured data for every variant the panel covers. Mondo, OMIM, Ensembl, and HGNC cross-references on gene pages remain pending — they arrive in December 2026 alongside the imputed 9.67M-variant CanVAS dataset via the OMIA SQL dump absorption. Until then, gene IDs carry NCBI Gene and OMIA phene URLs only; the wider human-homolog and disease-ontology cross-reference set fills in with that release.

How to cite this page. The computed dimensions on this page are derived from the open Sniff Atlas v1.0.1 (Gehring 2026, doi:10.5281/zenodo.20566358, CC-BY 4.0). Full citation formats including BibTeX, RIS, and CITATION.cff at sniff.world/cite.

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References
  1. Donner J, Anderson H, Davison S, et al. (2023). Frequency and distribution of 152 genetic disease variants in over 1,000,000 mixed-breed and purebred dogs. PLOS Genetics 19(2):e1010651. doi:10.1371/journal.pgen.1010651
  2. Brundage J, et al. (2026). CanVAS: a harmonized canine variant atlas. bioRxiv. doi:10.64898/2026.04.13.718238
  3. Nicholas, F.W., Tammen, I., & Sydney Informatics Hub. (2026). Online Mendelian Inheritance in Animals (OMIA) [dataset]. The University of Sydney. https://omia.org. doi:10.25910/2AMR-PV70 (retrieved April 2026).
Last updated
Sources: CanVAS (Brundage 2026) · Donner 2023 · OMIA