ViLR:一种新的虚拟长读法,用于在没有试验对象的情况下,在新的PGT-SR载体中识别断点和直接SNP单双类型
Jiangyang Xue1,2,3, Min Xie1,2,3, Jie Cai4
1The Central Laboratory of Birth Defects Prevention and Control, The Affiliated Women and Children's Hospital of Ningbo University, Ningbo, Zhejiang, 315012, China.
Reproductive biology and endocrinology : RB&E
|March 4, 2025
概括
一种新的虚拟长读测序方法 (ViLR) 能够准确识别断点,并直接确定SNP类型,用于在新染色体结构重排序 (CSR) 的家族中进行结构重排序 (PGT-SR) 的植入前遗传测试. 这种方法克服了当前方法的局限性,在没有试验参与的情况下提供了临床潜力.
科学领域:
- 遗传学 是一个遗传学.
- 基因组医学是基因组医学.
- 生殖生物学 生殖生物学
背景情况:
- 结构重组的植入前遗传测试 (PGT-SR) 面临着当前长读序列 (LRS) 和参考胚胎建立方法的局限性.
- 在没有家族参与的情况下,对新染色体结构重组 (CSR) 的直接单双类型定型仍然具有挑战性.
研究的目的:
- 开发和评估一种基于虚拟NGS的新型长读法 (ViLR),用于中断点表征和直接SNP类型化 in de novo CSR.
- 在没有试验参与的家庭中评估ViLR对PGT-SR的临床可行性.
主要方法:
- ViLR利用条码标签和长基因组DNA片段的组装来创建虚拟的长读数.
- 分析了10个处于新生CSR风险的家庭,生成长片段 (平均40kb) 用于断点映射和SNP收集.
- 胚胎单双型的确定是基于载体单双型,并进行产前诊断以确认.
主要成果:
- ViLR实现了高绘图率 (99.5%) 和覆盖深度 (>90%在>10X).
- 在10个新的PGT-SR载体中精确识别了断点和单元型.
- 启用了成功的PGT-SR对18个euploid胚胎,产前诊断证实了结果和四个健康的出生.
结论:
- ViLR显示出显著的临床潜力,作为一种新的解决方案,用于断点识别和直接SNP哈普洛类型 in de novo PGT-SR.
- 该方法使PGT-SR更容易实现新的CSR,而不需要试验DNA,从而扩大了临床应用.
- 在风险家庭中,ViLR提供了一种可行的方法,用于准确的基因诊断,从而导致健康的后代.
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