The genetics of face shape

By Mackenzie Bowes · mackenzie@mackenziebowes.com · @_mackenziebowes on X

The largest facial GWAS, the loci with an assigned facial trait, and why face shape is a continuum to blend rather than a set of gene switches. Every figure attributed.

A handful of loci each explain about 1% of facial variance.

Genetics

Face shape is highly heritable but extremely polygenic, and even the largest studies explain only a single-digit percentage of the variation. The practical consequence: facial variation is a broad continuum to be blended, not a set of gene switches to toggle.

ResultValue
Discovery sample11,662 Europeans · 946 traits from 44 landmarks
Significant variants253 SNPs across 188 loci (64 SNPs at 62 novel loci)
Variance explained, per trait2.25% - 7.9%
Variance explained, whole face4.5% (face-PVE)
Highest / lowest regionupper nose 6.0% · lower nose 5.6% · lower cheek 3.2%
SNP-based heritabilityavg 0.23, range 0.06-0.36 (higher: nose & forehead; lower: mouth & cheek)
Cross-ancestry replication70% of SNPs in 9,674 Chinese
Nose re-identification model382-SNP, AUC 0.67

Largest facial GWAS to date (Nature Communications, 2025)[2]

Gene → trait map

Gene / locusTrait it movesVariance
PAX3 · 2q35nasion position (bridge root)1.33%
EDAR · 2q12chin protrusion, mandible length1.32%
DCHS2 · 4q31columella inclination, nose protrusion, tip angle0.63-1.08%
RUNX2 / SUPT3H · 6p21nose bridge breadth1.18%
GLI3 · 7p13nose wing breadth1.15%
PAX1 · 20p11nose-wing region-

Individual loci with an assigned facial trait[5]

EDAR V370A is the standout: the derived allele - common in East Asians and Native Americans, absent in Europeans and Africans - reduces chin protrusion and shortens the mandible, while also changing hair thickness, incisor shovelling and sweat-gland density. One variant, many features.[5]

Named loci worth knowing

Sources

  1. Shaffer et al. (2016). A GWAS Identifies Five Loci Influencing Facial Morphology. (male noses ~4 mm larger; high heritability, many small-effect variants). pmc.ncbi.nlm.nih.gov/articles/PMC3441666/
  2. Combined GWAS of facial traits in Europeans (2025). Nature Communications. link.springer.com/article/10.1038/s41467-025-61761-7
  3. Shaffer et al. / PAX3, PRDM16, TP63, C5orf50, COL17A1 (PLoS Genetics 2016). journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1006149
  4. Identification of five novel genetic loci related to facial morphology (SOX9, WDR35, HOXD1-MTX2). BMC Genomics 2018. link.springer.com/article/10.1186/s12864-018-4865-9
  5. A genome-wide association scan implicates DCHS2, RUNX2, GLI3, PAX1 and EDAR in human facial variation. Nature Communications 2016. www.nature.com/articles/ncomms11616