Agler Cary S, Shungin Dmitry, Ferreira Zandoná Andrea G, Schmadeke Paige, Basta Patricia V, Luo Jason, Cantrell John, Pahel Thomas D, Meyer Beau D, Shaffer John R, Schaefer Arne S, North Kari E, Divaris Kimon
Oral and Craniofacial Health Sciences, UNC School of Dentistry, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA.
Department of Odontology, Umeå University, Umeå, Sweden.
Methods Mol Biol. 2019;1922:493-509. doi: 10.1007/978-1-4939-9012-2_38.
Oral health and disease are known to be influenced by complex interactions between environmental (e.g., social and behavioral) factors and innate susceptibility. Although the exact contribution of genomics and other layers of "omics" to oral health is an area of active research, it is well established that the susceptibility to dental caries, periodontal disease, and other oral and craniofacial traits is substantially influenced by the human genome. A comprehensive understanding of these genomic factors is necessary for the realization of precision medicine in the oral health domain. To aid in this direction, the advent and increasing affordability of high-throughput genotyping has enabled the simultaneous interrogation of millions of genetic polymorphisms for association with oral and craniofacial traits. Specifically, genome-wide association studies (GWAS) of dental caries and periodontal disease have provided initial insights into novel loci and biological processes plausibly implicated in these two common, complex, biofilm-mediated diseases. This paper presents a summary of protocols, methods, tools, and pipelines for the conduct of GWAS of dental caries, periodontal disease, and related traits. The protocol begins with the consideration of different traits for both diseases and outlines procedures for genotyping, quality control, adjustment for population stratification, heritability and association analyses, annotation, reporting, and interpretation. Methods and tools available for GWAS are being constantly updated and improved; with this in mind, the presented approaches have been successfully applied in numerous GWAS and meta-analyses among tens of thousands of individuals, including dental traits such as dental caries and periodontal disease. As such, they can serve as a guide or template for future genomic investigations of these and other traits.
众所周知,口腔健康与疾病受到环境(如社会和行为)因素与先天易感性之间复杂相互作用的影响。尽管基因组学和其他“组学”层面因素对口腔健康的确切作用仍是一个活跃的研究领域,但龋齿、牙周病及其他口腔和颅面特征的易感性受到人类基因组的显著影响,这一点已得到充分证实。全面了解这些基因组因素对于在口腔健康领域实现精准医学至关重要。为推动这一目标,高通量基因分型技术的出现及其成本的不断降低,使得能够同时对数百万个基因多态性进行检测,以确定其与口腔和颅面特征的关联。具体而言,龋齿和牙周病的全基因组关联研究(GWAS)为可能与这两种常见的、复杂的、生物膜介导疾病相关的新基因座和生物学过程提供了初步见解。本文概述了用于开展龋齿、牙周病及相关特征GWAS的方案、方法、工具和流程。该方案首先考虑了这两种疾病的不同特征,并概述了基因分型、质量控制、群体分层调整、遗传力和关联分析、注释、报告及解读的程序。GWAS可用的方法和工具在不断更新和改进;考虑到这一点,本文介绍的方法已成功应用于数以万计个体的众多GWAS和荟萃分析中,包括龋齿和牙周病等口腔特征。因此,它们可作为未来对这些及其他特征进行基因组研究的指南或模板。