Quintero-Ronderos Paula, Laissue Paul
1 Center For Research in Genetics and Genomics (CIGGUR), GENIUROS Research Group, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia.
Reprod Sci. 2019 Mar 17:1933719119831769. doi: 10.1177/1933719119831769.
Recurrent pregnancy loss (RPL) affects up to 5% of couples. It is believed that genetic factors contribute to the disease's etiology and pathophysiology. Hundreds of genes represent coherent RPL candidates due to mammalian implantation's inherent complexity. Sanger sequencing (direct sequencing) of candidate genes has identified potential RPL causative genes (and variants), including those regulating embryo implantation and pregnancy maintenance. Although this approach is a reliable technique, the simultaneous analysis of large genomic regions is challenging. Next-generation sequencing (NGS) technology has thus emerged as a useful alternative for determining genetic variants and transcriptomic disturbances contributing to monogenic and polygenic diseases pathogenesis. However, interpreting results remains challenging as NGS experiments provide an enormous amount of complex data. The molecular aspects of specific diseases must be fully understood for accurate interpretation of NGS data. This review was thus aimed at describing (for the first time) the most relevant studies involving Sanger and NGS sequencing, leading to the description of variants related to RPL pathogenesis. Successful RPL-related NGS initiatives (including RNAseq-based studies) and future challenges are discussed. We consider that the information given here should be useful for clinicians, scientists, and students to enable a better understanding of RPL etiology. It may also provide a basis for the development of diagnostic/prognostic approaches contributing toward translational medicine.
复发性流产(RPL)影响着多达5%的夫妇。人们认为遗传因素在该疾病的病因和病理生理过程中起作用。由于哺乳动物着床过程固有的复杂性,数百个基因成为RPL的相关候选基因。对候选基因进行桑格测序(直接测序)已确定了潜在的RPL致病基因(及变异),包括那些调控胚胎着床和维持妊娠的基因。尽管这种方法是一项可靠的技术,但同时分析大片段基因组区域仍具有挑战性。因此,新一代测序(NGS)技术已成为一种有用的替代方法,用于确定导致单基因和多基因疾病发病机制的遗传变异和转录组紊乱。然而,由于NGS实验会提供大量复杂数据,解读结果仍然具有挑战性。为了准确解读NGS数据,必须充分了解特定疾病的分子层面。因此,本综述旨在(首次)描述涉及桑格测序和NGS测序的最相关研究,从而阐述与RPL发病机制相关的变异。文中还讨论了成功的与RPL相关的NGS项目(包括基于RNA测序的研究)以及未来的挑战。我们认为,这里提供的信息对临床医生、科学家和学生应该是有用的,有助于他们更好地理解RPL的病因。它还可能为有助于转化医学的诊断/预后方法的发展提供基础。