Cole Joanne B, Manyama Mange, Larson Jacinda R, Liberton Denise K, Ferrara Tracey M, Riccardi Sheri L, Li Mao, Mio Washington, Klein Ophir D, Santorico Stephanie A, Hallgrímsson Benedikt, Spritz Richard A
Human Medical Genetics and Genomics Program, University of Colorado School of Medicine, Aurora, Colorado 80045.
Department of Anatomy, Catholic University of Health and Allied Sciences, Mwanza, TZ-18, Tanzania.
Genetics. 2017 Feb;205(2):967-978. doi: 10.1534/genetics.116.193185. Epub 2016 Dec 14.
The human face is an array of variable physical features that together make each of us unique and distinguishable. Striking familial facial similarities underscore a genetic component, but little is known of the genes that underlie facial shape differences. Numerous studies have estimated facial shape heritability using various methods. Here, we used advanced three-dimensional imaging technology and quantitative human genetics analysis to estimate narrow-sense heritability, heritability explained by common genetic variation, and pairwise genetic correlations of 38 measures of facial shape and size in normal African Bantu children from Tanzania. Specifically, we fit a linear mixed model of genetic relatedness between close and distant relatives to jointly estimate variance components that correspond to heritability explained by genome-wide common genetic variation and variance explained by uncaptured genetic variation, the sum representing total narrow-sense heritability. Our significant estimates for narrow-sense heritability of specific facial traits range from 28 to 67%, with horizontal measures being slightly more heritable than vertical or depth measures. Furthermore, for over half of facial traits, >90% of narrow-sense heritability can be explained by common genetic variation. We also find high absolute genetic correlation between most traits, indicating large overlap in underlying genetic loci. Not surprisingly, traits measured in the same physical orientation (i.e., both horizontal or both vertical) have high positive genetic correlations, whereas traits in opposite orientations have high negative correlations. The complex genetic architecture of facial shape informs our understanding of the intricate relationships among different facial features as well as overall facial development.
人类的面部由一系列可变的身体特征组成,这些特征共同使我们每个人都独一无二且易于区分。显著的家族面部相似性突显了遗传因素,但对于构成面部形状差异的基因却知之甚少。许多研究使用各种方法估计了面部形状的遗传力。在这里,我们使用先进的三维成像技术和定量人类遗传学分析,来估计坦桑尼亚正常非洲班图儿童面部形状和大小的38项测量指标的狭义遗传力、由常见遗传变异解释的遗传力以及成对遗传相关性。具体而言,我们拟合了近亲与远亲之间遗传相关性的线性混合模型,以联合估计对应于全基因组常见遗传变异解释的遗传力的方差成分以及未捕获遗传变异解释的方差,两者之和代表总狭义遗传力。我们对特定面部特征狭义遗传力的显著估计范围为28%至67%,水平测量的遗传力略高于垂直或深度测量。此外,对于超过一半的面部特征,超过90%的狭义遗传力可以由常见遗传变异解释。我们还发现大多数特征之间存在高度的绝对遗传相关性,表明潜在基因座有很大的重叠。不出所料,在相同物理方向上测量的特征(即都是水平或都是垂直)具有高度正遗传相关性,而在相反方向上的特征具有高度负相关性。面部形状的复杂遗传结构有助于我们理解不同面部特征之间以及整体面部发育之间的复杂关系。