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通过外体测序来最大限度地提高智力障碍的诊断产量:越南队列中的基因型-表型洞察力
Thu Lan Hoang1,2, Thi Kim Phuong Doan1,2, Thi Ngoc Lan Hoang1,2
1Department of Medical Biology and Genetics, Hanoi Medical University, Hanoi 100000, Vietnam.
Diagnostics (Basel, Switzerland)
|November 27, 2025
概括
整体外因子测序 (WES) 和临床外因子测序 (CES) 通过识别遗传变异来有效诊断智力障碍 (ID). 将基因组数据与详细的临床分析相结合,可以改善诊断,并根据遗传途径揭示不同的患者群体.
科学领域:
- 遗传学 是一个遗传学.
- 神经科学是一个神经科学.
- 生物信息学是一种生物信息学.
背景情况:
- 智力障碍 (ID) 是一种复杂的疾病,具有多种遗传原因,包括单核酸变异 (SNV) 和副本数变异 (CNV).
- 整体外因子测序 (WES) 和临床外因子测序 (CES) 是变种识别的关键工具,但它们在ID中的比较诊断实用性需要进一步描述.
研究的目的:
- 为了比较智力障碍儿童的WES和CES诊断表现.
- 开发和应用一个多维的表型评分系统,用于基因型-表型关联分析.
- 根据遗传途径和临床特征识别ID患者的不同生物组.
主要方法:
- 患有ID的儿童接受了WES或CES,根据ACMG/AMP和ClinGen指南进行变异分类.
- 开发了一个15个域的评分系统来量化表型特征,生成Z-score进行分析.
- 层次集群分析 (HCA) 和相关性建模用于定义基因型-表型关联和途径集群.
主要成果:
- WES和CES在多个基因和生物途径中确定了广泛的致病变异.
- 层次集群分析揭示了三个不同的患者群体,它们具有连贯的基因型-表型关系,与特定的基因功能 (例如,转录调节,离子通道,髓化) 相关.
- 较高的表型得分与早期发病和神经严重性增加相关,验证了分析框架.
结论:
- 对于智力障碍的遗传复杂性,WES和CES提供了更高的诊断分辨率.
- 整合多维表型分析与基因组分析增强了基因型-表型相关性,并使数据驱动的患者分层成为可能.
- 这一全面的框架有助于诊断单一的ID,并为未来的预测和功能研究奠定了基础.
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