Roosenboom Jasmien, Indencleef Karlijne, Lee Myoung Keun, Hoskens Hanne, White Julie D, Liu Dongjing, Hecht Jacqueline T, Wehby George L, Moreno Lina M, Hodges-Simeon Carolyn, Feingold Eleanor, Marazita Mary L, Richmond Stephen, Shriver Mark D, Claes Peter, Shaffer John R, Weinberg Seth M
Department of Oral Biology, Center for Craniofacial and Dental Genetics, University of Pittsburgh, Pittsburgh, PA, United States.
ESAT-PSI, Department of Electrical Engineering, Medical Imaging Research Center, KU Leuven, Leuven, Belgium.
Front Genet. 2018 Oct 23;9:497. doi: 10.3389/fgene.2018.00497. eCollection 2018.
Many factors influence human facial morphology, including genetics, age, nutrition, biomechanical forces, and endocrine factors. Moreover, facial features clearly differ between males and females, and these differences are driven primarily by the influence of sex hormones during growth and development. Specific genetic variants are known to influence circulating sex hormone levels in humans, which we hypothesize, in turn, affect facial features. In this study, we investigated the effects of testosterone-related genetic variants on facial morphology. We tested 32 genetic variants across 22 candidate genes related to levels of testosterone, sex hormone-binding globulin (SHGB) and dehydroepiandrosterone sulfate (DHEAS) in three cohorts of healthy individuals for which 3D facial surface images were available (Pittsburgh 3DFN, Penn State and ALSPAC cohorts; total = 7418). Facial shape was described using a recently developed extension of the dense-surface correspondence approach, in which the 3D facial surface was partitioned into a set of 63 hierarchically organized modules. Each variant was tested against each of the facial surface modules in a multivariate genetic association-testing framework and meta-analyzed. Additionally, the association between these candidate SNPs and five facial ratios was investigated in the Pittsburgh 3DFN cohort. Two significant associations involving intronic variants of were found: both rs12150660 ( = 1.07E-07) and rs1799941 ( = 6.15E-06) showed an effect on mandible shape. Rs8023580 (an intronic variant of ) showed an association with the total and upper facial width to height ratios ( = 9.61E-04 and = 7.35E-04, respectively). These results indicate that testosterone-related genetic variants affect normal-range facial morphology, and in particular, facial features known to exhibit strong sexual dimorphism in humans.
许多因素会影响人类面部形态,包括遗传、年龄、营养、生物力学力量和内分泌因素。此外,男性和女性的面部特征明显不同,这些差异主要是由生长发育过程中性激素的影响所驱动。已知特定的基因变异会影响人类循环性激素水平,我们推测这反过来会影响面部特征。在本研究中,我们调查了与睾酮相关的基因变异对面部形态的影响。我们在三组有3D面部表面图像的健康个体队列(匹兹堡3DFN、宾夕法尼亚州立大学和阿冯父母与儿童纵向研究队列;总计 = 7418)中,测试了与睾酮、性激素结合球蛋白(SHGB)和硫酸脱氢表雄酮(DHEAS)水平相关的22个候选基因中的32个基因变异。使用最近开发的密集表面对应方法的扩展来描述面部形状,其中3D面部表面被划分为一组63个层次组织的模块。在多变量基因关联测试框架中,针对每个面部表面模块测试每个变异,并进行荟萃分析。此外,在匹兹堡3DFN队列中研究了这些候选单核苷酸多态性(SNP)与五个面部比例之间的关联。发现了两个涉及内含子变异的显著关联:rsl2150660(P = 1.07E - 07)和rsl799941(P = 6.15E - 06)均显示出对下颌骨形状的影响。Rs8023580(一个内含子变异)与总面部宽度与高度比例以及上半面部宽度与高度比例相关(分别为P = 9.61E - 04和P = 7.35E - 04)。这些结果表明,与睾酮相关的基因变异会影响正常范围内的面部形态,特别是在人类中已知表现出强烈性别二态性的面部特征。