Gene-Based Association Mapping for Dental Caries in The GENEVA Consortium.

Journal of dentistry and dental medicine Pub Date : 2020-05-01 Epub Date: 2020-04-15
Yueyao Wang, Dipankar Bandyopadhyay, John R Shaffer, Xiaowei Wu
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Abstract

Objective: Dental caries is a multifactorial disease with high prevalence in both children and adults. Recent genome-wide association studies (GWASs) have revealed that genetic factors play an important role in caries incidence. However, existing methods are not sufficient to identify caries-associated genes, due to the complex correlation structure of caries GWAS data, and lack of appropriate summarization at the gene level. This paper attempts to address that by analyzing data from the Gene, Environment Association Studies (GENEVA) consortium.

Methods: We investigated gene-based genetic associations for dental caries based on genome-wide data derived from the GENEVA database, with adjustment to covariates, linkage disequilibrium among single-nucleotide polymorphisms, and family relations, in sampled individuals.

Results: Several suggestive genes were identified, in which some of them have been previously found to have potential biological functions on cariogenesis.

Conclusions: By comparing the gene sets identified from gene-based and SNP-based association testing methods, we found a non-negligible overlap, which indicates that our gene-based analysis can provide substantial supplement to the traditional GWAS analysis.

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日内瓦联盟龋齿基因关联图谱研究。
目的:龋齿是一种多因素疾病,在儿童和成人中均有较高的患病率。最近的全基因组关联研究(GWASs)表明,遗传因素在龋发病率中起重要作用。然而,由于龋病GWAS数据的相关结构复杂,且在基因水平上缺乏适当的总结,现有的方法尚不足以识别龋病相关基因。本文试图通过分析基因,环境协会研究(GENEVA)联盟的数据来解决这个问题。方法:我们基于来自GENEVA数据库的全基因组数据,在样本个体中对协变量、单核苷酸多态性之间的连锁不平衡和家庭关系进行了调整,研究了基于基因的龋病遗传关联。结果:鉴定出几个提示基因,其中一些基因先前已发现在龋齿发生中具有潜在的生物学功能。结论:通过比较基于基因的关联检测方法和基于snp的关联检测方法鉴定的基因集,我们发现了不可忽略的重叠,这表明基于基因的分析可以为传统的GWAS分析提供大量补充。
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