Center For Research in Genetics and Genomics (CIGGUR), GENIUROS Research Group, School of Medicine and Health Sciences, Universidad del Rosario, Carrera 24 N° 63C-69, Bogotá, 1100100, Colombia.
Reprod Sci. 2020 Aug;27(8):1541-1552. doi: 10.1007/s43032-020-00187-6.
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.
复发性妊娠丢失(RPL)影响多达 5%的夫妇。据信,遗传因素导致了疾病的病因和病理生理学。由于哺乳动物着床的内在复杂性,数百个基因代表了一致的 RPL 候选基因。候选基因的桑格测序(直接测序)已经确定了潜在的 RPL 致病基因(和变体),包括那些调节胚胎着床和妊娠维持的基因。虽然这种方法是一种可靠的技术,但同时分析大片段基因组区域具有挑战性。因此,下一代测序(NGS)技术已成为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的有用替代方法。然而,由于 NGS 实验提供了大量复杂的数据,因此解释结果仍然具有挑战性。为了准确解释 NGS 数据,必须充分了解特定疾病的分子方面。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,从而描述与 RPL 发病机制相关的变体。讨论了成功的与 RPL 相关的 NGS 计划(包括基于 RNAseq 的研究)和未来的挑战。我们认为,这里提供的信息对于临床医生、科学家和学生来说应该是有用的,使他们能够更好地理解 RPL 的病因。它也可能为开发有助于转化医学的诊断/预后方法提供基础。