在监管级联中罕见变化的功能影响
Taibo Li1, Nicole Ferraro2, Benjamin J Strober1,3
1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Cell genomics
|October 23, 2023
概括
识别具有影响力的罕见遗传变异是具有挑战性的. 结合多omics数据 (基因组,转录组,甲基组,蛋白质组) 显著提高了这些变体的检测和它们对复杂特征的影响.
科学领域:
- 基因组学就是基因组学.
- 系统生物学 系统生物学
- 生物信息学是一种生物信息学.
背景情况:
- 人类基因组包含许多罕见的遗传变异,但很难确定具有重大功能影响的变异.
- 个性化的多omics数据为识别有影响力的罕见变异提供了潜在的解决方案.
研究的目的:
- 展示如何整合个人多学科数据可以改善对具有影响力的罕见遗传变异的识别.
- 评估全基因组测序,转录组,甲基组和蛋白质组在功能罕见变异分析中的实用性.
主要方法:
- 利用来自动脉样硬化多民族研究的数据,包括来自两个时间点的个体的全基因组测序,转录组,甲基组和蛋白质组.
- 应用了一个扩展的贝叶斯层次模型",分水",以优先考虑与多omics信号相关的罕见变体.
- 评估了多奥米克表型对功能性罕见变异发现的综合和单独贡献.
主要成果:
- 结合基因表达和蛋白质数据,与对照组相比,罕见的停止 (62x) 和移 (216x) 变体的频率显著更高.
- 单个的奥米克数据显示单独表达或蛋白质效应的频率较低 (13-27x).
- "分水"模型成功地发现了罕见的变异,对高度,精神分裂症和阿尔茨海默病等复杂特征产生了重大影响.
结论:
- 整合多omics数据,特别是表达和蛋白质水平,大大提高了具有影响力的罕见遗传变异的检测.
- "分水"模型提供了一个强大的框架,用于在监管级联中优先考虑功能罕见变异.
- 这种方法对了解复杂的人类疾病的遗传结构具有前景.
关键词:
功能性基因组学 功能性基因组学机器学习是机器学习.甲基组组是什么?多种主题的多种主题.蛋白质组是蛋白质组的组成部分.罕见的变种 罕见的变种转录组 (transcriptome) 是一个转录组.更多相关视频
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