Abstract

Facial shape differences are one of the most significant phenotypes in humans. It is affected largely by skull shape. However, research into the genetic basis of the craniofacial morphology has rarely been reported. The present study aimed to identify genetic variants influencing craniofacial morphology in northern Han Chinese through whole-exome sequencing (WES). Phenotypic data of the volunteers’ faces and skulls were obtained through three-dimensional CT scan of the skull. A total of 48 phenotypes (35 facial and 13 cranial phenotypes) were used for the bioinformatics analysis. Four genetic loci were identified affecting the craniofacial shapes. The four candidate genes are RGPD3, IGSF3, SLC28A3, and USP40. Four single-nucleotide polymorphism (SNP) site mutations in RGPD3, IGSF3, and USP40 were significantly associated with the skull shape (p < 1×10−6), and three SNP site mutations in RGPD3, IGSF3, and SLC28A3 were significantly associated with the facial shape (p < 1×10−6). The rs62152530 site mutation in the RGPD3 gene may be closely associated with the nasal length, ear length, and alar width. The rs647711 site mutation in the IGSF3 gene may be closely associated with the nasal length, mandibular width, and width between the mental foramina. The rs10868138 site mutation in the SLC28A3 gene may be associated with the nasal length, alar width, width between tragus, and width between the mental foramina. The rs1048603 and rs838543 site mutations in the USP40 gene may be closely associated with the pyriform aperture width. Our findings provide useful genetic information for the determination of face morphology.

Highlights

  • Human facial shapes are species-specific and have individual specificity

  • The association analysis between the 23,011 single-nucleotide polymorphism (SNP) loci and 48 phenotypes showed that a C > T missense mutation occurred at rs62152530 (NM_001144013) in RGPD3 (2q12)

  • This SNP site mutation is closely associated with one facial phenotype and two skull phenotypes (GO_R–GO_L and ML_R–ML_L), and causes an Asp > Glu change in the protein amino acid sequence at position 1020

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Summary

Introduction

Human facial shapes are species-specific and have individual specificity. The published papers have shown whole-genome association analyses of human facial shapes (Adhikari et al 2016; Cha et al 2018; Claes et al 2018; Cole et al 2016; Lee et al 2017; Liu et al 2012; Paternoster et al 2012; Qiao et al 2018; Shaffer et al 2016). Whole-genome association analyses of facial morphology have shown association with PAX3, PRDM16, TP63, C5orf, COL17A1, DCHS2, RUNX2, GLI3, PAX1, EDAR, MAFB, PAX9, MIPOL1, ALX3, HDAC8, CACNA2D3, SCHIP1, PDE8A, OSR1WDR35, HOXD1-MTX2, WDR27, SOX9, DHX35, etc. The results were not consistent among the above-studied population (except PAX3, which was associated with facial morphology in a few of published papers), indicating that ethnic factors had a large impact on facial features

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