结构变异检测和整个基因组序列数据的关联分析来自16,905个阿尔茨海默氏症疾病测序项目对象
Hui Wang1,2, Beth A Dombroski1,2, Po-Liang Cheng1,2
1Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA.
medRxiv : the preprint server for health sciences
|September 25, 2023
概括
结构变异 (SVs) 显著影响阿尔茨海默病 (AD) 遗传学. 这项研究发现,在AD病例中,删除和重复的负担更高,突出显示SVs是AD风险的关键贡献者.
科学领域:
- 遗传学 是一个遗传学.
- 神经科学是一个神经科学.
- 基因组医学是基因组医学.
背景情况:
- 结构变异 (SVs) 在人类疾病遗传学中至关重要,但在阿尔茨海默病 (AD) 中仍未得到充分研究.
- 精确检测SVs一直是一个重大挑战,限制了他们在AD病因学方面的调查.
研究的目的:
- 调查结构变异在阿尔茨海默病遗传结构中的作用.
- 为了确定与AD风险和AD相关的内分类型相关的特定VS.
主要方法:
- 来自阿尔茨海默氏病测序项目 (ADSP) 大队列 (N=16,905) 的全基因组测序数据的分析.
- 识别和质量控制超过168,000种高质量的结构变异.
- 统计关联测试,包括负载测试 (SKAT-O) 和链接不平衡 (LD) 分析与已知的AD风险变异.
主要成果:
- 在AD病例中观察到大量的删除和重复 (OR=1.05,P=0.03),特别是单独和同卵性事件.
- 在关键AD基因 (例如,ABCA7,APP,PLCG2,SORL1) 中极为罕见的,蛋白质改变的SV与AD相关 (SKAT-O P=0.004).
- 在已知AD风险变体的高LD中发现了21个SV,16个SV与AD直接相关,13个SV与AD内类型相关.
结论:
- 结构变异在阿尔茨海默病的遗传情景中起着重要作用.
- 这项研究为SVs对AD病原体的贡献提供了新的见解,并确定了潜在的新风险因素.
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