Thieme F, Ludwig K U
1 Institute of Human Genetics, University of Bonn, Bonn, Germany.
2 Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.
J Dent Res. 2017 Oct;96(11):1238-1247. doi: 10.1177/0022034517720403. Epub 2017 Jul 21.
In the past decade, medical genetic research has generated multiple discoveries, many of which were obtained via genome-wide association studies (GWASs). A major GWAS finding is that the majority of risk variants for complex traits map to noncoding regions. This has resulted in a paradigm shift in terms of the interpretation of human genomic sequence variation, with more attention now being paid to what was previously termed "junk DNA." Translation of genetic findings into biologically meaningful results requires 1) large-scale and cell-specific efforts to annotate non-protein-coding regions and 2) the integration of comprehensive genomic data sets. However, this represents an enormous challenge, particularly in the case of human traits that arise during embryonic development, such as orofacial clefts (OFCs). OFC is a multifactorial trait and ranks among the most common of all human congenital malformations. These 2 attributes apply in particular to its isolated forms (nonsyndromic OFC [nsOFC]). Although genetic studies (including GWASs) have yielded novel insights into the genetic architecture of nsOFC, few data are available concerning causality and affected biological pathways. Reasons for this deficiency include the complex genetic architecture at risk loci and the limited availability of functional data sets from human tissues that represent relevant embryonic sites and time points. The present review summarizes current knowledge of the role of noncoding regions in nsOFC etiology. We describe the identification of genetic risk factors for nsOFC and several of the approaches used to identify causal variants at these loci. These strategies include the use of biological and genetic information from public databases, the assessment of the full spectrum of genetic variability within 1 locus, and comprehensive in vitro and in vivo experiments. This review also highlights the role of the emerging research field "functional genomics" and its increasing contribution to our biological understanding of nsOFC.
在过去十年中,医学遗传学研究取得了多项发现,其中许多是通过全基因组关联研究(GWAS)获得的。GWAS的一项主要发现是,复杂性状的大多数风险变异位于非编码区域。这导致了人类基因组序列变异解释方面的范式转变,现在人们更加关注以前被称为“垃圾DNA”的区域。将遗传发现转化为具有生物学意义的结果需要:1)大规模的、细胞特异性的努力来注释非蛋白质编码区域;2)整合全面的基因组数据集。然而,这是一个巨大的挑战,特别是对于胚胎发育过程中出现的人类性状,如口腔颌面部裂隙(OFC)。OFC是一种多因素性状,是所有人类先天性畸形中最常见的性状之一。这两个特性尤其适用于其孤立形式(非综合征性OFC [nsOFC])。尽管遗传研究(包括GWAS)已经对nsOFC的遗传结构有了新的认识,但关于因果关系和受影响生物途径的数据却很少。造成这种不足的原因包括风险位点的复杂遗传结构以及来自代表相关胚胎部位和时间点的人类组织的功能数据集有限。本综述总结了非编码区域在nsOFC病因学中作用的当前知识。我们描述了nsOFC遗传风险因素的识别以及用于识别这些位点因果变异的几种方法。这些策略包括使用来自公共数据库的生物学和遗传信息、评估一个位点内的全谱遗传变异性以及全面的体外和体内实验。本综述还强调了新兴研究领域“功能基因组学”的作用及其对我们对nsOFC生物学理解的日益增加的贡献。
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