State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai 201203, China; School of Computer Science, Fudan University, Shanghai 200438, China; CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
School of Data Science, Fudan University, Shanghai 200433, China.
J Genet Genomics. 2022 Oct;49(10):934-942. doi: 10.1016/j.jgg.2022.02.020. Epub 2022 Mar 5.
Facial and cranial variation represent a multidimensional set of highly correlated and heritable phenotypes. Little is known about the genetic basis explaining this correlation. We develop a software package ALoSFL for simultaneous localization of facial and cranial landmarks from head computed tomography (CT) images, apply it in the analysis of head CT images of 777 Han Chinese women, and obtain a set of phenotypes representing variation in face, skull and facial soft tissue thickness (FSTT). Association analysis of 301 single nucleotide polymorphisms (SNPs) from 191 distinct genomic loci previously associated with facial variation reveals an unexpected larger number of loci showing significant associations (P < 1e-3) with cranial phenotypes than expected under the null (O/E = 3.39), suggesting facial and cranial phenotypes share a substantial proportion of genetic components. Adding FSTT to a SNP-only model shows a large impact in explaining facial variance. A gene ontology analysis reveals that bone morphogenesis and osteoblast differentiation likely underlie our cranial-significant findings. Overall, this study simultaneously investigates the genetic effects on both facial and cranial variation of the same sample, supporting that facial variation is a composite phenotype of cranial variation and FSTT.
面部和颅骨变异代表了一组多维的高度相关和可遗传的表型。对于解释这种相关性的遗传基础知之甚少。我们开发了一个名为 ALoSFL 的软件包,用于从头部计算机断层扫描(CT)图像同时定位面部和颅骨标志,并将其应用于 777 名汉族女性头部 CT 图像的分析,得到了一组代表面部、颅骨和面部软组织厚度(FSTT)变异的表型。对先前与面部变异相关的 191 个不同基因组位点的 301 个单核苷酸多态性(SNP)进行关联分析,结果显示,与颅表型显著相关的位点数量出乎意料地多于在零假设下的预期数量(O/E = 3.39),这表明面部和颅骨表型共享大量遗传成分。将 FSTT 添加到仅 SNP 模型中,对面部变异的解释具有很大影响。基因本体分析表明,骨形态发生和成骨细胞分化可能是我们颅部显著发现的基础。总的来说,这项研究同时调查了同一样本对面部和颅骨变异的遗传影响,支持面部变异是颅骨变异和 FSTT 的综合表型。