使用泛体的线性引用来发现缺失的自闭症变体
Yang Sui1, Jiadong Lin1, Michelle D Noyes1
1Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Nature communications
|January 23, 2026
概括
长读测序在未解决的病例中确定了与自闭症相关的复杂遗传变异. 阶段性基因组揭示了短读方法错过的致病突变,有助于变体发现.
科学领域:
- 基因组学就是基因组学.
- 神经发育障碍 神经发育障碍
- 人类遗传学 人类遗传学
背景情况:
- 了解大效应致病变异对于自闭症谱系障碍 (ASD) 病因学至关重要.
- 之前使用短读序列的研究在检测复杂结构变异 (SV) 方面存在局限性.
- 阶段性基因组组合为遗传变异提供了更全面的视图.
研究的目的:
- 通过使用长读序列 (LRS) 在未解决自闭症病例的个体中表征新突变,结构变异 (SV) 和DNA甲基化.
- 通过整合自闭症风险基因和监管元素,开发和应用工作流来优先考虑致病变体.
- 评估分阶段基因组和泛基因组控制用于识别复杂突变的实用性.
主要方法:
- 生成了来自51个家庭的189名未解决自闭症病例的长读序列 (LRS) 数据.
- 构建分阶段和几乎完整的基因组组件.
- 应用基于读取和组装的策略来进行变体表征,包括SV和DNA甲基化,使用LRS泛基因组控制.
主要成果:
- 过了>97%的常见SVs,使用LRS pangenome控制.
- 在试验者与兄弟姐妹之间没有观察到自体的SV负担增加,但在受影响的女性中,X染色体的SV负担增加的趋势.
- 确定了三种致病变体 (TBL1XR1,MECP2,SYNGAP1) 和九种候选de novo/双基遗传SV,许多被短读序列遗漏.
结论:
- 阶段基因组对于发现与自闭症相关的复杂和病原性突变具有强大作用.
- LRS和泛基因组方法显著提高了结构变异的检测.
- 开发的优先级工作流程有助于识别自闭症的临床相关变体.
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