Prenatal Diagnosis Center, Peking University People's Hospital, Beijing, China.
Becreative Lab Co., Ltd., Beijing, China.
J Mol Diagn. 2024 Apr;26(4):267-277. doi: 10.1016/j.jmoldx.2023.12.005. Epub 2024 Jan 26.
Exome sequencing is becoming a first-tier clinical diagnostic test for Mendelian diseases, drastically reducing the time and cost of diagnostic odyssey and improving the diagnosis rate. Despite its success, exome sequencing faces practical challenges in assessing the pathogenicity of numerous intronic and synonymous variants, leaving a significant proportion of patients undiagnosed. In this study, a whole-blood transcriptome database was constructed that showed the expression profile of 2981 Online Mendelian Inheritance in Man disease genes in blood samples. Meanwhile, a workflow integrating exome sequencing, blood transcriptome sequencing, and in silico prediction tools to identify and validate splicing-altering intronic or synonymous variants was proposed. Following this pipeline, seven synonymous variants in eight patients were discovered. Of these, the functional evidence of c.981G>A (PIGN), c.1161A>G (ALPL), c.858G>A (ATP6AP2), and c.1011G>T (MTHFR) have not been reported previously. RNA sequencing validation confirmed that these variants induced aberrant splicing, expanding the disease-causing variant spectrum of these genes. Overall, this study shows the feasibility of combining multi-omics data to identify splicing-altering variants, especially the power of RNA sequencing. It also reveals that synonymous variants, which often are overlooked in standard diagnostic approaches, comprise an important portion of unresolved genetic diseases.
外显子组测序正在成为孟德尔疾病的一线临床诊断测试,大大缩短了诊断探索的时间和成本,提高了诊断率。尽管取得了成功,但外显子组测序在评估大量内含子和同义变体的致病性方面仍面临实际挑战,导致相当一部分患者未得到诊断。在这项研究中,构建了一个全血转录组数据库,显示了 2981 种在线孟德尔遗传疾病基因在血液样本中的表达谱。同时,提出了一种整合外显子组测序、血液转录组测序和计算预测工具的工作流程,用于识别和验证改变剪接的内含子或同义变体。通过这个流程,在 8 名患者的 7 个同义变体被发现。其中,c.981G>A (PIGN)、c.1161A>G (ALPL)、c.858G>A (ATP6AP2) 和 c.1011G>T (MTHFR) 的功能证据以前没有报道过。RNA 测序验证证实这些变体诱导了异常剪接,扩大了这些基因的致病变体谱。总的来说,这项研究表明了结合多组学数据来识别剪接改变变体的可行性,特别是 RNA 测序的作用。它还表明,在标准诊断方法中经常被忽视的同义变体构成了未解决的遗传疾病的重要部分。