在未被诊断的罕见疾病中,长时间阅读测序的额外诊断收益率
Giulia F Del Gobbo1, Kym M Boycott2,3
1Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Ontario, Canada K1H 5B2.
Genome research
|February 3, 2025
概括
长读数测序 (LRS) 通过检测短读数方法遗漏的变体,为罕见疾病 (RDs) 提供了更好的诊断产量. 这项技术是结束许多未经诊断的疾病患者的诊断旅程的关键.
科学领域:
- 基因组学就是基因组学.
- 罕见疾病的诊断 罕见疾病的诊断
- 分子生物学分子生物学
背景情况:
- 由于当前测序技术的局限性,许多罕见疾病 (RDs) 仍然未被诊断出来.
- 短读测序通常无法检测复杂的变体,如结构变体 (SV) 和重复扩展.
- 长读序列 (LRS) 提供了一种补充方法来应对这些诊断挑战.
研究的目的:
- 评估LRS在未被诊断的罕见疾病人群中识别疾病相关变异的诊断实用性.
- 与短读序列相比,突出LRS增强诊断产量的特定领域.
- 讨论将LRS整合到罕见疾病的临床诊断工作流程中.
主要方法:
- 对使用LRS用于罕见疾病诊断的50多项研究的综述.
- 分析LRS在检测结构变异,重复扩张和解决复杂基因组区域方面的能力.
- 评估先前遗传检测结果为负的队列中的诊断产量改善.
主要成果:
- 经过多次测试,LRS显示出显著的诊断产量增加,特别是在检测和表征结构变异 (SV) 和重复扩张方面.
- 研究表明,在已经接受了负的短读基因组测序的患者中,LRS可以将诊断产量提高7% - 17%.
- 变体的分阶段和高序列相似性区域的分析是从LRS中受益的其他关键领域.
结论:
- LRS是改善罕见疾病诊断率的强大工具,特别是复杂的遗传变异.
- 将LRS纳入诊断护理途径可以帮助许多患者结束诊断旅程.
- 解决当前的挑战和考虑对于在罕见疾病诊断中广泛采用LRS至关重要.
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